Marvell Technology Group Ltd. Stock

Good morning, everyone, and welcome to Marvell's Investor Day. The entire team is super excited to share our story with you today. Before we get started, let me walk through our schedule and some housekeeping items.

On the schedule side, we'll kick things off with Chairman, and CEO, Matt Murphy, and then transition to presentations from the members of the executive team. And then Dan Durn, our CFO, will wrap things up before we open it for Q&A. We will have a break after Sandeep's presentation.

Now let me handle a couple of housekeeping items.

Let me first explain the syntax around our fiscal and calendar years and then our revenue reporting. In today's presentations, we'll be referring to fiscal years whenever we refer to financial data and calendar years for market data. As most of you know, our fiscal year is basically 1 year ahead of the calendar year. So for example, our fiscal year 2026 actually started in February of calendar 2025 and ended in January of '26.

Now moving on to the revenue side. We report our consolidated revenue broken out in 2 end markets: data center and communications and other, nothing new there for you all.

To provide additional context during these presentations, we'll be giving you revenue and addressable market trends by the 3 businesses within data center as well: Interconnect, switch and storage and custom. These align directly with the framework that we've been using for the last few years. So there's no category changes needed in your models whatsoever.

Now on to some of the forward-looking statements. I'd like to draw your attention to the forward-looking statements. As a reminder, today's presentations contain projections and other forward-looking statements regarding future events and financial performance. Such statements are predictions and subject to risks and uncertainties, which could cause actual results to differ materially. Please consider the risk factors in our SEC filings, which could potentially affect our business and financial performance. These filings are available from the SEC and on our website.

Finally, during this presentation, we will be mentioning certain non-GAAP financial measures. Reconciliations to GAAP are available on our website. To that point, all of the presentations you're going to see today will be posted on the Investor Relations website as well later today.

With that, we're super excited to see you all here.

Let's get started with a brief video.

[Presentation]

Please welcome to the stage, Marvell, Chairman and Chief Executive Officer, Matt Murphy.

Good morning, everybody. All right. All right. Good morning, everybody. Here you go. I'm fired up to be here today. Are you? Come on. All right. So welcome to Marvell's 2026 Investor Day. It's great to be back in New York and have so many of you with us today. And I have great memories of the last time we were all here, which was about 2.5 years ago. And I remember having lunch afterwards and sitting with a bunch of you, and one of you spoke very fondly of this hotel, you have gotten married here. Another investor at lunch said to me, you know, Matt, good call on the location at The Pierre. The Pierre is a bull market hotel. And look, I agree from April 2024 to now, it's definitely been a bull market for semiconductors. Hasn't it? Excited to be back here today to show you what the next phase of Marvell looks like.

All right. Blast from the past. Let's go back in time. This photo is from Marvell's first ever Investor Day in 2017, and that's me there on stage and a number of you were there. In fact, I can recognize many of you just from the backs of your heads. You could probably find yourself. And by the way, I'm not sure who this young guy is on stage, but he's pretty handsome, isn't he? This is what 10 years as a public company CEO will do to you, okay? But still -- I'm still ticking.

I remember the first question I got at that Investor Day after we finished and Chris Rolland from Susquehanna who I think is here today, stood up and very seriously asked me, first question, he said, what company is this? Is this Marvell? And there was a reason he asked that question because at that time, Marvell had never communicated ever to Wall Street what its mission or vision was, where the company was going. And the company had gone public in 2000, by the way. So most people back then thought of Marvell as a consumer electronics company, right, selling into smartphones, tablets, other digital devices.

But look at what we were talking about back then, look at my slide. The explosion of data and bandwidth demand, compute moving towards the data, end-to-end security, the need for power efficiency. This was in March 2017, and we were already talking about the data center, data infrastructure and where we believe the industry was going.

Now before Marvell, I spent 22 years at Maxim Integrated Products, which is one of the leading analog semiconductor companies. And one of the great things about the analog business is you get exposure to virtually every end market and every major technology trend. The one thing I learned from that experience was that the market that you sell into is what matters. It's not just about having the best chip or the best part, the best widget, it's your end market exposure and then your long-term sustainable competitive advantage within that market, that's what matters.

So actually, when I came to Marvell, I had a strong point of view about where the semiconductor industry was going and where I wanted to take the company. And that point of view I had was centered on data infrastructure in the cloud even though at that time, most of Marvell's revenue was tied to consumer.

In fact, back then, less than 10% of our revenue was actually in data center. And that's what led us to develop Marvell's mission statement. Here it is. So we wrote this in January 2017, about 6 months after I became CEO. And nearly 10 years later, this mission has not changed. It's exactly the same words from January 2017. Now this might seem like motherhood and apple pie today, make high-performance chips that move data, store data, process data, compute, networking and storage, all those types of trends. But I could tell you, 10 years ago, this was unique.

There was a category back then called data infrastructure. The whole semiconductor market was defined very differently back then. Remember, recently, I was in a meeting with one of our senior fellows as a long-time Marvell employee, he's presenting for big engineering group, and he said, I remember when Matt first presented this mission statement to us when we were sitting around at Marvell. And I'd already been at Marvell for 15 years, and I remember sitting there watching him and thinking, I don't know what he's talking about.

Now -- and then he stood up and said, now 10 years later, I see it. We have actually all the pieces now, moving data, storing data, processing data, all the key elements. We didn't have those back then, and we do now. So that was the vision. And over the past decade at each of our Investor Days, we've had a bunch of them, we've continued to share our point of view about where we believe the industry was going.

So let me show you a few examples. In 2018, 8 years ago, we were talking about about AI as a major driver of data center and how AI would evolve across both training and inference. So a long time ago. This is pre-ChatGPT, pre big AI wave. 2020, we were talking about the shift from application-specific workloads to data-centric workloads, with functions like networking, security and storage increasingly moving into dedicated infrastructure silicon.

2021, we broadened that to the era of cloud optimized silicon. This was 5 years ago. And we said that compute, storage, networking, security and optics were all becoming increasingly purpose-built. And if you look at what we were describing back then, those were really the building blocks of what we call today XPU attach before we even had a name for it.

In 2024, when we were here in New York at The Pierre, we talked about how front-end and back-end networks were required for AI, and how optical connectivity would be a major driver of the next wave of AI infrastructure. And then finally, the summer, in June, we showed you the breadth of our custom silicon capabilities, including the emerging opportunity we call XPU attach and why we believe custom was going to be a major and much larger part of AI infrastructure.

So throughout this journey, we've had a pretty consistent point of view where the industry was going, and we've aggressive -- we've invested aggressively ahead of these transitions. But you can have a vision. You can see the shifts, but that is not enough. We had to build this company and the capability to capitalize on the opportunity.

So what do we do? The mission in 2017 became the guiding principle for how me and the team allocated capital and architected Marvell over the last decade. In some areas, we invested in strong technology and expertise that we already had inside Marvell. We had a very talented team when I joined in engineering. In other areas, though, we pursued very strategic and quite frankly, very ambitious M&A to add critical capabilities and domain expertise in a number of new important areas where we didn't have that capability.

At the same time, though, we didn't just buy things. We narrowed our focus through divestitures, which created significant shareholder value. We received premium multiples for these businesses that we sold, and it allowed us to continue to hone our focus on the data center.

But I've got to tell you the real value of the acquisitions we made and those capabilities that we then gained, those came after those teams were inside Marvell and then part of our platform. We brought these teams together around one strategic direction and continued to invest aggressively in those businesses. And that allowed those teams to achieve far more than they ever could have on their own.

So if we take a step back, we've invested roughly $20 billion bringing those capabilities into Marvell decades and decades of expertise. We also put -- invested another roughly $20 billion organically behind the platform. This was rocket fuel for the roadmaps and help establish the leadership positions we have today and that you're going to hear about.

So that's roughly $40 billion of investment in the Marvell platform over last 10 years. This has truly been a decade in the making. And the platform has actually arrived at the right moment. AI workloads are fundamentally changing the way that data moves through the network. We're moving beyond traditional training and reasoning models -- we're moving beyond training in the reasoning models. Agentic AI and inference now at scale. So those workloads are driving more and more data movement and diverse traffic patterns across AI infrastructure. That's creating greater demands on connectivity.

Efficient data movement is becoming a fundamental constraint on AI infrastructure. And this isn't just us saying it, this is what we're hearing from our customers. The world's largest hyperscalers are rethinking their network architectures as AI infrastructure scales. Across the industry these changes are driving significantly more connectivity across the system. So just take a moment and read it, look what they're saying.

It's all about connectivity. Now if you look at the AI landscape overall today in semi companies there are 3 very large companies whose businesses are primarily driven by compute. There's some networking in there but compute is what they do really well. And we have seen tremendous growth in value creation in the market from the compute wave that we've gone through.

Then you have 3 large memory companies whose businesses are overwhelmingly concentrated at memory. That's what they do really well. And again we've seen tremendous growth in value creation there as AI has driven the need for more memory, bandwidth and capacity. But now we believe connectivity is the next defining unlock. As system scale, more and more data needs to move across every distance and Marvell is fundamentally a connectivity-first company.

That gives us a very different position in the ecosystem. We work with the leading compute companies, the leading memory companies and our customers all the world's largest cloud operators. And many ways we're enabling the entire industry and Marvell is a partner to all. As AI infrastructure continues to scale, we've exposure across the ecosystem, regardless of which compute or memory architecture is deployed.

Yes, let's put some numbers behind that. In FY '26 last year, Marvell generated $8.2 billion in total revenue. 75% of that was in data center and we break that down into the segments we're going to talk about today. Interconnect, switch and storage and custom. And most of our custom revenue last year was in compute and some of our comms and other revenue is also in compute. That gives you about 30% of total revenue landing in compute and 70% in connectivity. As we go forward, and as XPU attach ramps, more and more of the custom business will actually be part of our connectivity story as well. So coming back to data center overall, we'll walk you through these 3 categories today and show you how the technology is evolving, how the market is expanding and what that means for Marvell. And then later we'll come back to these businesses and look at the TAM, our growth expectations and a long term opportunity across each one.

All right, so let's start with interconnect. As these network architectures evolve, connectivity has to scale across every distance in the system from links between data centers, the connections all the way inside the package. And these aren't variations of the same problem. Each distance represents a fundamentally different engineering challenge requiring different technologies, different skill sets and unique expertise.

At longer distances like scale across and scale out, the industry is already transitioned into optics. Marvell is a leader in those markets and that's what is driving our interconnect revenue today. But as you move inside the rack and closer to the package, those connections today are still largely copper.

And in the middle is what we call the copper wall. But here's what's interesting, that wall is starting to move. And as bandwidth continues to increase, the distance copper can reach gets shorter and shorter. That means connections inside the rack are starting to begin the transition to optics. That opens up an entirely new TAM for Marvell and scale up interconnect. This is where technologies like near package optics or NPO or co-package optics called CPO are becoming increasingly important.

And that transition plays directly into the optical capabilities we've been developing for years. And you're going to hear much more about this today. And longer term the same physics continue to apply, as bandwidth keeps increasing, the transitions to optics moves closer and closer to the compute. And ultimately, you can see and we see a world where optics extends all the way into the package. That is going to create another significant TAM opportunity for Marvell that we call scale in and Xi is going to talk to you about that today.

Now let me move on to switching. We've established a strong position in scale-out switching with multiple customer wins and a business that will be well north of $1 billion next year. And now we're taking that same technology foundation into scale up, where accelerators require extremely high bandwidth, low latency connectivity. And we're unique. We're supporting all the major scale-up protocols, including NVLink, UALink and Ethernet, giving customers flexibility across their different architectures. And as bandwidth increases, scale-up is becoming increasingly optical, which opens up an exciting new opportunity for Marvell, and you'll hear much more about that today as well.

Now let's turn to storage and memory. Storage has been a core franchise since the earliest days of the company. We established leadership early on in hard drive and flash controllers, but over time, we've expanded that technology base across a much broader range of storage and memory technologies. Today, that spans HDD and NAND controllers, memory controllers and CXL, memory expansion and best-in-class dense SRAM used in our custom products. What's important is that we have proven technology and decades of expertise across every layer in the storage and memory technology stack. And increasingly, those same technologies are becoming the foundation for custom solutions that we design for hyperscale AI infrastructure.

So customers can start with proven Marvell IP, work with us to optimize and customize it for their specific architecture. So what began as a leadership position in storage has become a much broader capability spanning storage and memory, and it's both in standard products as well as custom solutions.

Let's go to custom. This has become a massive growth opportunity for Marvell. We're in this business because customers want access to Marvell's differentiated IP and ability to use that technology to realize their own unique architectures. This started with the XPU, but the opportunity today is actually much larger. As XPUs continue to grow, they pull through a whole new set of functions around them: Networking, storage, memory, security and inference acceleration.

All of these functions are attached to the XPU. And increasingly, we're seeing them all move to custom solutions. And that's what we call XPU attach. With the XPU, you're typically talking about a traditional, full custom ASIC model. XPU attach is a little different. These opportunities are more IP-led and semi-custom in nature. And that difference between full custom and semi-custom is actually important. So I'm going to take a minute just to talk about it.

In many cases, Marvell works with the customer on the architecture and takes the lead on the front-end design with a proven Marvell IP set at its core. And that IP comes from technologies that we've already developed, shipped at scale and proven in high-volume manufacturing. So it's proven. And that model is gaining significant traction with customers. We've already announced multiple large strategic agreements around these opportunities. And today, we're shipping custom silicon to all 4 U.S. hyperscalers.

We've grown our custom business essentially from scratch over the last 5 years. And last year, it was about a $1.5 billion business. Along the way, we've set some pretty aggressive targets, including on this stage back in April 2024. And last year, we told you we expected custom revenue to more than double in FY '28, putting us on path to more than $10 billion in FY '29. Today, that business is on track against that plan. And based on the opportunity we're seeing, we're raising our FY '29 outlook for this business.

We now expect custom revenue in FY '29 to more than triple from FY '28, reaching more than $12 billion and putting us well above our prior $10 billion target. Now this update to our expectation is primarily driven by the rapidly expanding XPU attach opportunity we see in front of us, including the strategic agreement that we announced in August. The XPU attach opportunity continues to expand every day. And more importantly, this is not a single customer, and it is not a single socket. We're seeing a broad set of product wins across multiple customers and multiple programs spanning all the areas I just mentioned. That's what gives us confidence to raise the outlook from more than doubling to more than tripling. Thought you digest that one for a second.

All right. So let's take a step back and look at the market opportunity. By 2030, we expect total data center CapEx to reach roughly $3 trillion, growing at about a 35% compound annual rate starting from calendar '25 to calendar '30. And importantly, that assumes that the current rate of CapEx growth moderates over that period, moving closer to historical levels in the outer years. As you guys all know, we're growing faster right now than the 35%. So in our model, we expect some normal deceleration to a more normal base case in the outer years. Now within that, accelerated compute represents roughly $1.6 trillion of TAM opportunity. And within that infrastructure, we see approximately $385 billion of data center TAM addressable by Marvell. And when you add in the opportunity and the rest of our business in communications and other, that represents another approximately $15 billion.

So when you put it all together, we see an approximately $400 billion total addressable market, all in for Marvell by 2030. And that market that we're addressing is growing at a 45% compounded rate from 2025 to 2030. So it's growing faster than CapEx. And to put that in perspective, just so everybody knows, there's a lot of big TAM numbers out there these days. But for us, the last time we laid out the TAM for the company, it was less than $100 billion. So this is a 4x increase to our TAM opportunity that's occurred. That's how fast the market is moving for us. And the growth, though, which is a good thing, is not concentrated in just one part of the business. So let me dive deeper and show you what's underneath the $400 billion.

All right. There's a lot of numbers up here, so let me take -- just give you a minute to absorb them, but I'm going to start at the top and work my way down on the TAM. So in interconnect, we see the TAM growing at roughly 65% annually, reaching approximately $65 billion by 2030 as scale-out continues to grow and new opportunities emerge in scale up and scale across.

In switching and storage, we see the TAM growing at roughly 40% annually, reaching approximately $85 billion. Now this is driven by continued growth in scale-out switching and then the new emergence of scale-up switching.

In custom, the market is expanding dramatically. We see the TAM growing at roughly 55% annually, reaching approximately $235 billion by 2030, driven by the growth in XPUs and then the layering in and emergence of XPU attach on top.

And Communications and another adds an approximately $15 billion. So put it all together, you get the $400 billion TAM I showed you, growing at 45% annually through 2030. So look, these are all very healthy growth rates, but I want to point out interconnect stands out at roughly 65% compounded growth over the period. So as I said earlier, when you look at where the growth is coming from in the industry, it's connectivity. Now this breadth gives us the confidence in the overall growth potential of the company even if the exact mix over time evolves and changes.

Now let's look at what all of this means for our revenue outlook. In FY '26, as I said, Marvell generated $8.2 billion in revenue, and this year, we expect approximately $12 billion, so that would be 47% year-over-year growth. Looks great. We're excited about that.

On our August earnings call, we raised our outlook to approximately $18 billion. That represents 50% year-over-year growth, showing that even as the company gets significantly larger, our growth rate is actually accelerating. Now today, we're raising that outlook again. We expect approximately $20 billion in total company revenue in FY '28, representing about 67% year-over-year growth. And then within that, we expect data center revenue to grow approximately 80%.

Now when we raised our FY '28 outlook in August, that increase was driven by interconnect, scale-up optics and switching. The additional $2 billion of growth we're seeing for next year is being driven by the same trends. Scale-out optics continues to accelerate, scale-up optics continues to grow, and our switching portfolio is firing on all cylinders. So once again, it's connectivity leading the race.

Okay. Now I'm going to put this $20 billion in context for everybody. So if you take a step back, when we were here in April 2024, on stage, at The Pierre, the prior year, we had just printed $2.2 billion in data center revenue, which is our FY '24. At the time, we told you we believe we could grow our data center business to $15 billion by FY '29. That was going to be 7x growth in 5 years. And I think people had a hard time wrapping their head around it. And I know it was ambitious. I got it. It was ambitious.

A year ago, in June, we had our custom AI event, and we just -- we basically said, look, the opportunity is developing faster than we thought. So at that time, we were raised our FY '29's data center revenue from $15 billion to approximately $18 billion. In other words, the target we had set a year earlier was already moving higher.

Okay. Now I'm going to show you where we are today. With the $20 billion in total company revenue we outlined for FY '28, approximately $18 billion is going to come from data center. That means we now expect to reach the $18 billion data center target we set for FY '29 almost a full year early. Now that would represent roughly a 70% compounded annual growth for our data center business over that period from FY '24 to FY '28.

Okay. So stepping back for a second. So we've put some ambitious targets in front of you over the last few years, and the Marvell team has executed. We've gone from $2.2 billion in data center revenue in FY '24 and we've got a plan to go to $18 billion next year. We're hitting our goals, and we're doing so earlier than planned. So with that perspective in mind, let me now show you how we're thinking about the opportunity from here as we go forward.

So for our purposes of our Investor Day, we're going to set our growth plan starting with FY '26 last year and outlined the opportunity through FY '31. This matches the TAM framework I showed you earlier, from CY '25 to CY '30.

Okay. So in FY '26 of the $8.2 billion, $6.1 billion was data center. And I showed you just now the plan to get to $18 billion in data center revenue in fiscal '28 with $20 billion total company revenue. So during that period, FY '26 to '28, that's about 70% growth in our data center business, compounded. And if you remember, that's about the same growth that we were looking at from FY '24 to FY '28. So basically, we've been growing pretty consistently since calendar '23 in our data center business. Now for FY '31, we have a bottoms-up plan that I'm going to walk you through shortly. This is not just topped down. I'm going to walk you through the bottoms up in just a moment. But let's start at a high level.

So looking forward from FY '28, if you assume the $20 billion total revenue plan and you roll up by customer and product and design win and you layer it up, we see a path to continue growing our data center revenue at roughly 70% annually through FY '31, despite the moderating CapEx assumptions.

But look, it's a dynamic market. So today, for our -- when we talk about our revenue goals, we're going to give you ranges, okay? And so for the -- at the top level, we're going to put a range starting at 55% at the low end. So taking that 55% to 70% growth range, that implies data center revenue of approximately $67.5 billion to $87.5 billion in FY '31.

Now if you add in $2.5 billion for comms and other, you get a range of $70 billion to $90 billion in revenue for Marvell in FY '31. I'll let you digest that for just a second. I understand. The absolute numbers are large, but the growth rates are at or below what we're already delivering today. So those numbers in mind, let's take a step back and look at the company as a whole. $8.2 billion in revenue last year in FY '26, plan to deliver $70 billion to $90 billion in 5 years, $80 billion at the midpoint. That would represent 10x growth over a 5-year period and 55% to 60% compounded annual growth over the same period.

Now that's the growth framework behind the long-term outlook that we're setting today. These are very strong growth plans, but what gives us conviction is not the top down view. This is a bottoms-up plan, and we have a history of delivering at these growth rates. All of this is grounded in business we have today. Our customer positions and the opportunities that are already right in front of us.

So let me now walk you through what underpins the bottoms up. Here we go. Okay. So I'm going to walk you through one by one, each business and what gives us conviction in our outlook. So let's start with Interconnect. Scale out has been an incredibly strong business for us. And in the last few years, that business has been roughly doubling each year. In this model, we actually assume that, that growth rate moderates over time.

At the same time, though, I want to say keep in mind, we're just beginning our transition to 1.6T in volume in the market, and we have 3.2T ahead of us. And on top of that, scale out, which you're going to hear from Russ on, has a very, very strong future. And in scale across, we already have a very strong position with new use cases for that market that we're going to hear about. And scale up optics, which is part of this, that's all in front of us. We have virtually no revenue in this area today with strong growth beginning next year, and we already have significant traction.

So on interconnect, what we're assuming is actually pretty straightforward, maintain our positions and scale out and scale across in a very high-growth TAM market and then execute on the scale-up opportunity in front of us. That's what we've got to do. We execute that plan that gets to $37.5 billion at the midpoint in FY '31.

Now let's look at switching and storage. Storage is already a $1 billion-plus business, and we assume it continues to grow at a double-digit rate. In scale-out switching, as I said earlier, we're going to be well north of $1 billion next year, with our 51.2T product just ramping in its first full year of production and our 100T product still in front of us.

Now based on the customers and programs we already have we see scale-out switching becoming a multibillion-dollar business over time. Then on top of that is an entirely new opportunity in scale-out, scale-up switching. We already have deep multiple deep customer engagements in this area today. And as they materialize, those are going to provide another meaningful layer of growth in our switching business. So when you put those pieces together, we see line of sight to approximately $10 billion in switching and storage revenue at the midpoint.

Okay. Now there's custom. And custom actually might be the simplest of all of them. I just showed you that we expect this business will reach more than $12 billion in FY '29. Our existing XPU programs are on track, and we're assuming that those programs ramp into that plan and continue to grow at a normal rate from there.

On top of that, though, is the rapidly expanding XPU attach opportunity, supported by the design wins in our strategic customer agreements. And just to be clear, we've taken a very pragmatic view in judging the total opportunity covered by the large agreement we recently disclosed. So if you start with more than $12 billion in FY '29, the growth we're assuming from FY '29 through FY '31, is roughly in line with the market. We think that's a very reasonable assumption given the programs and the customer positions we have today. And that gets us to approximately $30 billion at the midpoint in FY '31. By FY '31, we expect custom at that time to be much more balanced between XPU and XPU attach sockets with no single socket concentration.

Finally, in comms and other, we are assuming that we just maintain our position with very modest growth over the period. So that gets us to approximately $2.5 billion at the midpoint. So when you put all of that together, that's the bottoms-up case behind our $70 billion to $90 billion FY '31 target. And when you look at the assumptions behind each of these businesses, I think they're very reasonable. These are businesses that we have today, customer positions we already have and opportunities that are in flight and in execution that are going to -- and the opportunities are continuing to develop. We feel very good about our ability to get there. It's pretty exciting, isn't it? It's exciting. Thank you. I'm excited. We're excited, you're going to hear about it today.

Okay. So I'm going to wrap it up here and bring it all together for you. And this is why invest in Marvell. I've given you a lot of big numbers today. So let me just take a moment and recap the ones I want you to remember. By calendar '30, we see approximately $400 billion of total addressable market for Marvell. That's up 4x from the last time we updated you. In FY '28, next year, we expect approximately $20 billion in total company revenue, up from the $18 billion outlook we gave you in August, driven by connectivity. In custom, we expect FY '29 revenue to more than triple, reaching more than $12 billion, putting us well above our prior target.

Looking out to FY '31, we see a path to $70 billion to $90 billion in annual revenue with $80 billion at the midpoint. And as you'll see throughout the day, we're positioned as an ideal partner for all these hyperscale data center customers with deep, trusted relationship and years and years of working together. They look today at Marvell as their primary connectivity partner, and we're deeply embedded across their entire architecture.

So although the overall data center market by design is concentrated among these hyperscale customers, Marvell has built an incredibly diverse business with hundreds of products being delivered across this customer base and no single socket controlling our destiny. So when you see that kind of revenue growth, you're probably already doing the math. In fact, I see a lot of heads down in the audience on your PCs, look up, stay with me, hold on, we're almost there because of what you're doing, and you're probably wondering is, well, what's the earnings power for such a company of such scale? I'm not going to give you that now. I'm not going to do it.

We have a new CFO at Marvell. He's outstanding, and his name is Dan Durn. He's been with us since June, but I've known him for a very long time. This is Dan's first Investor Day with Marvell, and I certainly don't want to steal his thunder. Dan is going to come back later and show you what this growth can mean for Marvell's earnings power and put it in the context of the overall financial model, gross margin, operating margin, EPS, the whole 9 yards. So for now, I've given everybody the revenue as a starting point.

Okay. Before I wrap up, I want to recognize the Marvell team that makes all of this possible. None of what I've shared with you today happens without the incredible work and commitment of our employees all around the world. And for everyone at Marvell watching and listening today, thank you. I've been at Marvell for a little over 10 years now, and I've never been more excited and fired up about where this company is headed.

We have an incredible team, the right technology, deep trusted relationships with the most important significant customers in the industry and relationships that we've built over many, many years. And we have an opportunity we're looking at in front of us that is larger than anything we've ever seen before. I truly believe the best is still in front of us. So thank you so much, everybody, for joining us today, and I'll talk to you guys later during the Q&A. Thank you.

Please welcome, President and Chief Operating Officer, Chris Koopmans.

Good morning. It's great to be here with all of you today talking about this massive opportunity in front of us. This past summer, also marked my 10-year anniversary at Marvell, and I've had a blast. But I'm here to tell you that our best opportunity, our most exciting times are in front of us. We spent all these years building this platform and this company for this moment. And I'm going to talk about how we've been doing that and how we've been planning to scale this company. I'll talk about it along these 3 pillars. I'll start off talking about our customers. Where are we focused? And how do we win? I'll talk about our core engineering and our systems and how are we set up to scale to deliver for our customers. And I'll talk about the relationships in securing long-term capacity in the supply chain.

Let's start with our customers and where we see the overall TAM going. Last year at our custom AI event, I showed that analysts were forecasting about $1 trillion in total data center CapEx by calendar 2028. And that was showing basically a modest 20% growth CAGR from going forward after a really strong growth year in 2025. I remember when we put the $1 trillion up there, it kind of stuck in my mouth a little bit, $1 trillion, like that's a lot of money. Is this a little bit crazy?

And then you fast-forward 1.5 years, and it wasn't crazy at all, actually. We ended 2025 over $700 billion. And now we're hitting over $1 trillion this year already. Clearly, this is a fast-moving market and one that's hard to forecast, and it's growing faster than anybody expected.

And as Matt said, analysts are now forecasting over $3 trillion by calendar '30 and that's after a much faster '25, '26 and even '27, we're still expecting CapEx to moderate over time to about 20% after that. And this is the CapEx envelope that all of the numbers we've shared with you today, okay? The total market, the $400 billion TAM, all the revenue targets, that's the assumption of the total data center CapEx.

So if you look inside that data center CapEx, the top 10 or so hyperscale customers are actually driving over 60% of that last year. And as large as they are, they're actually expected to grow their spend even faster than the overall TAM, reaching more than 70% out in calendar '30. That's astounding. If you do the math, that means that these top 10 companies are $200-plus billion TAMs each. And if you look within that, the top 4 U.S. hyperscalers alone were more than half of total data center CapEx last year.

So you can see that any customer strategy in this market really needs to be hyper-focused on those companies. And it's not just the largest economic opportunity. These are the technology leaders in the world. And so any -- the focus that we put on them will pay dividends throughout the rest of our customer base. In fact, we have architected this company to be the perfect partner to the hyperscalers. They're large and sophisticated operators. They've been designing and deploying complex infrastructure for decades. They actually define what it means to operate at scale. And they've seen in the real world how these workloads interact with the underlying architecture and they have a point of view for how to optimize that architecture for the future in evolving workloads. What they need is a broad portfolio of connectivity technologies to stitch it all together. And at every hop in every distance, Marvell has a full portfolio of capabilities.

Our teams are able to sit together and make bandwidth, reach, power and manufacturing scale trade-off decisions and literally co-architect future cloud data centers. So at Marvell, we are laser focused on these top 10 hyperscalers. In fact, within that top 10, we can hit the vast majority of the goals that Matt laid out with the top 4 U.S. hyperscalers alone. We aren't counting on some major new customer win or a new home run design win. We need to focus on this finite set of customers and execute.

So we've been doing this for a decade now. And our typical customer journey starts off with an off-the-shelf system, a branded storage switch optical module with Marvell silicon inside. This is how these hyperscalers get experience operating networks with Marvell chips.

The next step is often to build a custom system with Marvell's standard silicon inside, optimized for their overall network design.

Next, they will often ask for a custom feature or maybe they want to put some of their IP in an otherwise standard chip, adding their secret sauce and adapting it to their own network topology.

The last step is a full custom engagement where all the IP that they've been using in those standard products for all those years is brought to market in a fully custom piece of silicon designed for that customer. But we're not selling custom silicon to customers who aren't also buying other parts of our platform. We're not an ASIC vendor. Give us a call if you want a custom chip. We're not a back-end services company with layout engineers hanging around. We're not a manufacturing company. Call us if you need some wafers. We are a connectivity leader building deep partnerships with the large hyperscalers in the world.

So in the end, this is a full platform engagement, merchant all the way through custom. Actually I took a look at that fiscal '31 forecast that Matt was talking about, and I broke it down by product and by customer, we're talking about hundreds of products across this hyperscale base, just the top 10.

If I look to the top 4, more than 35 sockets, millions of dollars each to deliver that forecast. This is an incredibly diverse hyperscale data center engagement.

So at Marvell, we are really good at building these strategic engagements. We've actually publicly disclosed strategic agreements with 3 of the 5 largest companies in the world by market cap. Each of these agreements is totally unique and tailored to the individual situation built on top of years of collaboration.

Our first announcement was with AWS in 2024. It was a 5-year agreement covering custom AI products and a broad swath of networking and continuity products, including switching, data center, interconnect and optics. Last year, we had our co-packaged optics technology to the agreement after our Celestial AI acquisition. Earlier this year, we announced a strategic agreement with NVIDIA. This, again, was a very broad and very strategic agreement covering optics and photonics, scale-up network with NVLink Fusion and AI-RAN. Most recently, the announcement was with Google. And this outlined a total of $120 billion opportunity over 6.5 years for custom products attached to the TPU ecosystem. That's in addition and separate from all the connectivity business that we do together today.

All these partnerships are multiyear, multi-product, multigenerational in nature, and they're all on track in execution and delivering value for both parties. These agreements are a natural evolution of our partnership. Usually, when we've already been working together for years at or nearing $1 billion a year in business together with rapidly expanding design win funnel. That's typically when these sorts of discussions start. How do we move towards a win-win partnership, aligning interests on both sides. So we are very strategic with how we approach these agreements.

Now let's talk about how strategically we approached scaling our engineering systems and organization in the company. We have been preparing for this growth for a long time. We've been consistently investing in R&D ahead of our revenue growth. Just take an example, look at fiscal '24, where Matt mentioned that we had done $2.2 billion in data center revenue. We spent $1.5 billion in R&D that same year, the vast majority of which was into the data center end market, which means we were investing well north of 50% of our revenue back into R&D to drive Marvell's growth. And it's worked. If you take last quarter, fiscal Q2 of 2027 and you annualize it, we quadrupled our revenue in data center to $8.7 billion. So we are consistently investing heavily in our R&D to drive Marvell's growth.

And we're making these investments in strategic R&D centers around the world. We're not just hiring from our competitors. These are very unique skill sets, very hard to hire people. So we're doing it right. We're building a long-term talent pipeline at Marvell. We're partnering with the local universities in each of those countries where we have these R&D centers set up. We're partnering with specific professors, and we're funding their research in things like optics, in analog mixed signal design. We're partnering with -- we're also helping to influence the curriculum to make sure that the talent comes out with the right skills that Marvell needs. And we're funding scholarships, more than 200 students are funded by Marvell scholarships every single year across more than 50 universities around the world. And that brings us to our internship program, which we started a decade ago, and we've grown it every year. It's now more than 500 students annually, the vast majority of which convert to full-time Marvell employees over time.

Put it all together, Marvell has become a premier destination for talent. A company people actively seek out and want to come and work for. And recruiting talent is only half the story. When they come to Marvell, we arm them with the best tool set in the semiconductor industry. We have embraced and adopted AI tools throughout our design flows. We've deployed an ever-increasing pool of agents for common tasks, automating design, simulate, fixed loops. And we've built homegrown tools such as the Marvell design assistant. This is the proprietary homegrown tool that we built in-house with our own data and our own decades of experience designing chips.

We launched it over 2 years ago and has grown dramatically since. It now found -- becomes the foundation of Marvell's AI-native workflow. And the results are dramatic. We now see engineers with 5 years of experience delivering the results that it used to take an engineer with 15 years' experience on a traditional tool set. And it's not just making engineers more productive sooner that's happening.

We're actually accelerating and shrinking the overall design cycle. We're shrinking the time from concept to shipping silicon allowing us to iterate more quickly on designs, find issues early and adapt quickly. This is really important in the age of ever-shrinking hyperscale design cycles. And none of this would be possible if we just kept doing it the way we always had. And that includes moving to the cloud. One of the advantages of working with the largest cloud operators in the world as we see how differentiated and performance their technology stack is. So we went all in early in announcing our first deal with AWS in 2023 to move our EDA into the cloud. We invested ahead of the curve when it wasn't the obvious choice. In fact, my IT team told me at the time, Chris, this is going to be more expensive if we do it this way. But I knew where Marvell was going wasn't going to scale without the cloud. So we've worked closely with our entire tool set, all of our EDA vendors and our cloud to optimize the complete flow and move it all into the cloud.

Today, more than 80% of our total compute infrastructure is in the cloud. So may be wondering how does this matter? And does this actually help? Let me give you an example. Last year, we won a design win that we didn't have servers provisioned for. Within 60 days, we had 30,000 new cores and over a petabyte of data provision and engineers productive and working in the cloud. 90 days later, that was up to 70,000 cores. I can't even imagine how this would have been possible if I had people running around looking for servers and data center space to deploy it today. Completely impossible. And by the way, that same chip, we were able to tape out in less than 9 months. It's in the fab today, it will be delivered to our customers next year.

Now let's talk about our supply chain, a critical part of Marvell scaling journey. Everything I said about focusing on fewer customers plays out 10x in the supply chain. It's all about trust. These companies are buying buildings, hiring engineers and buying equipment for products that are going to be delivered 5 years from now. So they need to trust you. They need to know you're going to be there. They need to know your demand is real.

So our strategy is to focus on a small number of critical suppliers who are the best in the world at what they do. These relationships often go back to the founders of these companies. When I took over operations in early 2021, Matt and I went on a sales campaign. We can see where all this was going. So we built relationships deep into the supply chain, not just foundry, but substrates, packaging, you name it. We needed a complete set of relationships all the way through. And we told them our story. Where do all these chips fit? Why are they critical? Why should they bet on infrastructure at a time that they were seeing unprecedented demand from stay-at-home-driven consumer end markets.

We show them how diverse our platform is, how -- when anyone wins, Marvell wins. Because these suppliers are very sophisticated. They're very experienced in this market. They've been burned many times, and they're really wary of the 1-chip moonshot customer. So these trusted relationships are also built on a track record of doing what we said we were going to do year in and year out. So we made the decision again to give our suppliers a 5-year forecast. 5 years, like who does that? But that's what you have to do today.

You can't just show up and say, how many wafers can I get next year? You needed to tell them 5 years ago, how many wafers you were going to need. So in order to do that, we invested in a world-class data-driven business intelligence platform. I have every piece of data at my fingertips today, every customer's forecast. What are the products? How has it evolved over the last 8 quarters? What are all the pieces in the supply chain? How much capacity have we reserved? This isn't just an MRP feed.

At Marvell, we have architectural insights across the stack. We know what's going on. So we build this forecast. I review it with Matt and the Board every year, and we give these suppliers an early look, and we've been doing it now for 5 years. So they can see how we've performed over that period. That fiscal '31 forecast of $70 billion to $90 billion that Matt put up, that might have been a surprise to some of you, not to our suppliers. Matt and I have visited these CEOs, shown them our forecasts, asked them if they could get us there, shook hands and we are now hand in hand to deliver those results.

And the very last step is a capital investment for capacity reservation. This isn't where you start. You can't just show up with the checkbook and say, how much capacity can I get? They'll just tell you to go away. You needed to have build a trust, shown them that you have a track record. And then yes, we are investing ahead of our growth to reserve the capacity. This is to cement the relationship and put skin in the game for our forecast. This is how you build a supply chain that can grow at the rates we have been growing and will continue to grow at.

As you can see, at Marvell, we are not short-term thinkers. We are building for the long term. We have deep trusted relationships with the largest customers in the world. We've built a talent pipeline and tools to feed our growth and keep the company scaling. We have a supply chain that we've built based on trust with the critical suppliers. We are the best in the world at what they do.

My team and I are ready to deliver that $70 billion to $90 billion that Matt laid out. We've grown the company 4x in the last 6 years. We got all the demand and the supply I need to hit the $20 billion next year. We can certainly 4x from that with the wind at our back. We don't need any new home run design wins or any new sockets. We have what we need today. We need to execute, deliver them to market and put them into production. And I'm here to tell you that my team and I are going to deliver that forecast. Thank you.

Please welcome, President Data Center Group, Sandeep Bharathi.

Good morning, everyone. I'm very excited and delighted to be here today. Every dollar that gets spent in the next 5 years by the AI hyperscale data centers and our customers will run into the same 4 constraints or walls: Bandwidth, latency, power or energy efficiency, and data center reach or the distance data has to travel.

So before I get into that, let me tell you and for the next 15 minutes, why Marvell is best positioned to solve those barriers and those challenges. But I wanted to give you my origin story. 8 years ago, Matt invited me to dinner exactly 8 years ago. And he laid out his vision for how he's going to transform Marvell to be a data infrastructure company. This was even before AI. He told me and threw me a gauntlet at how I have an opportunity to transform the product strategy, technology, execution and build the team to take it to the next level. I signed up to the challenge, and that's when my journey at Marvell began in February of 2019.

So in 2020, if we go back to the Investor Day, I presented a 3-pronged pillar based on process, architecture, and design to transform Marvell to be the leading silicon provider for data infrastructure. And let's go through this. On the process side, we had to pivot because Marvell was historically a process fast follower. We were on technologies, 1 generation or 2 generations behind, but implementing products such that it was already energy-efficient but a fast follower. It had architecture to do WiFi and storage products about 200 square millimeters, but we had to pivot the team and the technologies to do reticle size chips. Then came design IP. Analog mixed signal IP that needed to be for the data infrastructure market had to be high-speed, high-bandwidth SerDes. We already had 28 gig and 56 gig, but that had to transition to higher data rates more like 100 gig, 200 gig at advanced nodes. And let's see where we ended in 2026. And I'll go from the top.

Process technology. This was a very important challenge. Matt wanted me to get a team to the next node. We were on 12- and 16-nanometer and this was a company betting moment where we skip 7-nanometer and went to 5-nanometer. This is very difficult to do. And not only did we do this successfully in the years 2020 and 2021, we continued with leading-edge process and first to node with all the IP shuttles with our foundry partners at 3-nanometer at 2-nanometer, and we are already on 1.4 nanometer or 14 angstroms. And not only that, we have transitioned from less than 50% A0 to production. What is A0 to production mean? A0 to production means you need to get it right the first time. Measure twice, cut once, but we measure many times and the masks get cut once, so we deliver time to market to the customers.

Again, next is from an architecture standpoint, we wanted to deliver reticle size dies. The ones that Will and Dave are going to talk to you about. 200 square millimeters and the reticle size die is about 856 to 858. This is defined by the lithography limits and process technology that we can do today. And I'm here to say we have industry's first monolithic 100T switch. Nobody has that. Dave will talk all about it. And we have about greater than 10 products at 600 square millimeters and beyond shipping in volume and production. And Will is going to talk about his XPU and XPU attach where we have accomplished that.

So we have completely transitioned for not only on process technology, but also architecture. And when you take a look at these large dies, why is it hard? It's hard because, let's say, you have a 856 square millimeters. You may get maybe 30 or 40 dies and you need to get it first time right, because you need to have the methodology and the team to execute flawlessly to ensure that they account for defect density, signal integrity and many other laws of physics in the silicon to optimize these architectures and get it first time right.

Now let's talk about design. We were best-in-class IP portfolio, but fast follower, but we had to invest significantly in our technology to get leading-edge IP at 28 gig, 56 gig, 100 gig, 200 gig and 400 gig SerDes. And just in ECOC and OFC, we have demonstrated in silicon. This is just not theory. It is actually done in multiple process technologies, and we have industry's best in class SerDes at all these data rates. So we have delivered and proven at every step, and this is foundational for Marvell.

Now let's talk about what is AI token economics? In the building of the data centers you get into the same barriers that I talked about, bandwidth, latency, energy efficiency or power and distance or reach. And what everybody is optimizing for total cost of ownership is really about delivering the maximum tokens per dollar per megawatt but you also want to have the performance or the interactivity of the user. Whenever a query is served, you need responses immediately on the tokens, whether it is on research on LLM or even other applications that people are interacting with LLM.

So what happens here is AI is no longer a silicon problem, it is a system architecture and the data center connectivity challenge that Matt talked about. Now in order to increase performance, we need to take a look at all the constraints and let me talk about the walls that you will run into, starting with the first one, the memory one. The best way to think about it is an example of the human brain.

The plasticity of the human brain gives immediate access to memory with the compute, it's so intertwined. Let's say, for short-term memory, you will remember what you had for breakfast today or from long-term memory, you will know what you studied in your universities. So in an ideal world, you want infinite memory, uniform latency and a very high bandwidth interaction. Now how is that achieved in the real world? In the real world, the memory wall is because of the hierarchy of memory that exists in the compute architectures and system architectures.

XPU has a distance chasm to get the HBM memory or when you have a pool of accelerators or XPUs, they need to access not only HBM, but pools of DRAM. So memory wall is a real bottleneck for performance for AI infrastructure scaling. And how is Marvell positioned to take advantage of that is memory wall as a shared resource, we have multiple technologies that Will is going to talk about in his section. We have controllers that can spread and reduce the latency or memory access. Compute Express Link technologies in our Structera family for memory expansion and pooling, again, bringing memory as close to the compute as possible. Photonics interconnects for memory disaggregation and Dave will talk to you all about those applications. And not only that, influencing accelerators and the performance needs very high density, highly capable SRAMs very close to silicon, and Will, will go into further details about that.

So re-architecting systems using all these technologies is what Marvell is excellent at, bringing memory closer to scale up fabric from forever from all the history that we have had with these products.

Now let's take a look at the next wall. It is the reach or the copper wall. Matt went into considerable detail on this, but what I'm here to tell you is the copper wall is extending all the way from clusters of AI compute to coming to rack and tray. The reason is, today, if you want to transfer or transmission, a large amount of data movement, the shore line of silicon and the tray is physically bound. And in order to get maximum amount of data transmission with the highest bandwidth, you need to get optics into the system, into the scale-up rack because today, scale-up represents greater than 85% of the data center traffic. So optics scale-up optics is here and now. So solving the scale of bottleneck is the biggest gain we can do. Dave is going to talk about the scale-up optics and cross scale out and scale across. Xi and Russ are going to go into further more detail.

Now let's take a look at how Marvell is positioned to bring scale-up optics into this system? We are integrating silicon photonics onto the silicon, onto the substrate to enable the scale-up optics revolution. If you just take a look at the entire gamut of technologies we have at our disposal, we were already leaders in different modulation schemes.

Optical modulation schemes are very important for getting the reach, bandwidth, distance, and the energy efficiency that every application needs. It's very different. It's not a one size fits all. So you have Mach-Zehnder modulation for distances greater than 20 kilometers plus. Not only that, for within the silicon if you want different modulation for highest energy efficiency, you have Micro-Ring modulators, different modulation scheme. Then Dave is going to talk about the photonic fabric and the electro-absorption modulation, different modulation scheme. And scale in interconnects have newer microemitter technologies like microLED and microVCSEL. Xi is going to talk all about it.

So what is this actually telling you? What is telling you is data movement challenges for those constraints require multiple technologies. So this is the core bet Marvell is making. And we have the industry's largest optical talent. Chris went into how we have enabled talent and building these teams, and this was just a decade in the making. So we have the most brilliant optical engineers, making all these technologies happen at scale proven in silicon.

Now let's take a look at the common technology foundation that we are enabling across all these products. I've already talked about how Photonics is a key piece of our Marvell's competence. Not only that, you have advanced node and process, analog mixed signal, advanced packaging to solve every reach because ultimately, to solve those constraints, it is not just about compute. It is about connectivity because if the connectivity is not solved, then intelligence or access to compute means it's stranded compute, unused intelligence, not usable intelligence.

So let's take a look at what are we doing on the process technology? It is going beyond CMOS. Obviously, we talk about nanometers, but nanometers itself doesn't solve the problem. It is the table stakes to play in the market. However, we also have advances a silicon germanium indium phosphide to implement and produce highly capable TIAs and drivers. Xi is going to talk all about how this is a key core part of its portfolio.

Silicon photonics. This is where scale across is being enabled, including distances from 2 kilometers to 1,000 kilometers. Russ is going to talk all about it. Advanced material science research, thin film lithium niobate. We work with advanced foundries across the board to bring technologies of the future. And this is here and now.

5 years later, we are taking a look at what it's going to be for high-bandwidth, energy-efficient applications. It's plasmonic, that is also being invested in today so that we can have products 3 to 5 years out. So this is about technology enablement even before products are released 3 to 5 years out. So we are fully integrated, process agnostic, foundry ready and future proof.

Now analog mixed signal is the heart of the data movement challenge. Why? Because high bandwidth and low latency requires SerDes. And SerDes is a very critical technology. And if you take a look at what we have today, we have demonstrated and shipped SerDes high-speed, whether it is optical or electrical at 100 gig, 200 gig and 400 gig has already been enabled in products which will be shipping in volume next year. That's 8x growth in data rate in 6 years. And SerDes is just not the only technology that is important for delivering on our products.

For XPU and XPU attach because they're more than 8 or 10 dies inside the package, you need highly capable die-to-die interfaces, and you might have heard picojoules per bit as a currency for high energy efficiency, we have advanced die-to-die interfaces to enable the communication and the data movement between these dies.

And bringing it all together at the architecture level, you use these SerDes so that there is important constraints to be understood at the system level or the tray level or the package level when we have to connect XPU attach devices to the XPU that requires advanced system level, simulation and technologies that we already have built and enabled and shipped in volume. So Marvell SerDes leadership and advanced mixed signal is in here now proven in volume for every reach.

Let's take a look at the most important technology that's also in not only compute but also high-density switches. It's our packaging innovation. I talked about many of this in our June 2025 event. In the past, you had 2D packages, single die, very simple to do. Then it went to 2, 2.5D wherein you have multiple dies on chip on wafer on substrate or any other silicon interposer material. But now where we are seeing this move to is integrating die on die, meaning bringing advanced memory on a logical die or multiple logical dies on a package, greater than 8, possibly 10 to 12. All the innovations that are important in packaging is critical because these substrates are greater than 100-millimeter on the side going to 150 millimeters on the site.

And some of the samples Dave is going to show you not only that, because of the copper wall, optics scaling comes into the package. We also innovate on co-packaged optics. So it's full integration and co-design to scale in volume. And these are the capabilities that you need in every single product that we ship.

So I have talked about a multitude of technologies. It's easy to say, well, we have CMOS. It's easy for a company to say, well, we are excellent at silicon germanium or we are excellent at silicon photonics. But what I'm here to tell you is it requires just not one technology. It requires advances in packaging, all the capabilities in foundry, analog mixed signal all under one roof, and that's how we are well positioned to capitalize on the opportunities that Matt talked about. This is foundational, and this is technology at its very best and bleeding edge. Industry-leading core technology across all these domains means it's process and packaging, IP and architecture and system-level solutions. And you will hear the details from all my colleagues, Will, Dave, Russ and Xi.

Now it's proven execution and deployed at scale. And to put it all together, let me start by saying, tokenomics is just physics. I know when it's just physics. Physics doesn't negotiate with strategy. The company that solves the physics problem of bandwidth, latency, reach and power is the one that is best positioned to go after the opportunity that Matt outlined today. And I'm here to tell you that the team that we have built at Marvell is exceptional at it. Marvell is trusted and undisputed leading solution provider. Are you all fired up? Okay. Thank you.

Ladies and gentlemen, at this time, we would like to pause for a 15-minute intermission. Kindly return to your seats within 15 minutes. Thank you.

[Break]

Please welcome, Senior Vice President and General Manager, Connectivity business, Xi Wang.

Good morning, everyone. Welcome from the break. Matt said, Marvell is a connectivity-first of the company. I'm thrilled to be here to talk about connectivity first. Just like Matt and Chris, this year marks my 10-year anniversary at Marvell, although that 10 years, I spent 5 years at Inphi before the acquisition. Today, I want to show you what we actually mean when we say Marvell is a connectivity first company, and why that position is becoming more critical as AI infrastructure scales.

Let's start with what connectivity first look like in practice. Marvell has the broadest end-to-end connectivity portfolio. We organized our portfolio into 4 categories: scale across, scale out, scale up, and scale in. And together, they cover every distance that AI signal has to travel. That is everything from 1,000 kilometer between data centers down to 10-centimeter inside the package. At each of these distance, Marvell has a solution, coherent module, and DSPs for the longest reach PAM, TIA drivers and AECs for data center. ACC, NPO and the CPO for the rack. And today, I'm also going to share more about what we are doing with optical I/O chiplet using next-generation light source as we bring optics inside the package. No other companies cover this entire stack. Our competitors may try a piece of it but Marvell offer all of it. That is the breadth exactly will let us support our customers' architecture with whatever implementation they go with next.

In my presentation, I will focus on scale-out as well as scale in. Russ will talk about scale across and Dave will talk about scale up. Before we talk about the product and business, I want to take a moment to show you the complete connectivity technology portfolio we have built over the past 30 years. As a connectivity first company, we have placed dedicated focus into being the first to solve tomorrow's AI infrastructure challenges. We build the best franchise in high-speed analog with expertise spanning across all compound semiconductors. We developed our analog IP that is tailored to the specific requirement interfacing optics. We built our DSP portfolio with advanced CMOS from the very beginning. We developed deep expertise in DSP algorithm supporting both PAM and coherent modulations and also with a variety of IPC options. We also developed photonics in-house as well as forging partnership with optical component vendors in the ecosystem. We work with a wide range of optics from silicon photonics to MicroLEDs, micro VCSELs and plasmonics. The result is a technology portfolio that spans every single aspect of connectivity, not by chance, not because of one product, it is 30 years in the making.

I am very excited to be in this market. Personally, I earn my PhD in EE and optics with a focus on plasmonics. I also spent years on high-speed analog with LEDs and VCSELs. I develop datacom solutions before I joined Inphi Marvell. It's exciting to be able to bring all this technology together to support the market we are in today. There is one aspect of this enabling technology portfolio that does not get enough attention, the TIA and the driver. If you take a look inside the optical module, high-speed analog sit right at the boundary between the optical domain and electrical domain. The job of the TIA and the driver is to convert the electrical signal in optic signal and back again. The performance is everything here: noise, linearity, and power. If you get wrong, the whole link suffers, you also have to do it at high speed generation after generation, using silicon certain innovation because, as you know, analog does not scale with process. This is not a single product category each generation will support a wide range of optics, which has a different requirement.

The market is also going to expand to support emerging form factors like NPOs and CPOs. This is a component category where Marvell has built quietly with the industry-leading performance and it is foundational to everything else we do in optical interconnect. Marvell has a long history here. On the product side, we have led the industry since the 40-gig generation that is where Inphi got its start. Today, we are at 1.6T generation, shipping in high volume, leading our competitor by 2 years and continuing. On the technology side, we have invested across multiple process nodes across a wide range of compound semiconductor developed together with our foundry partners. Because different optics, again, require different requirements on the bandwidth, [indiscernible] and [indiscernible] combined with our capacity investment is what keeps us ahead. All of the technology developed fully in-house support our flagship DSP portfolio.

We have been leading since inception of PAM4 with a fully codesigned DSP driver TIA solution. We have been leading at 200 gig, 400 gig, 800 gig, and 1.6T. 800 gig is the workhorse of AI today. It is what powering all the AI models that you are using right now. There is a strong continued demand from the market on our 800-gig solutions. This is what helped us to drive this business to multibillion dollar annually. We are leading at 1.6T. First to sample, first to 3-nanometer, first to 3-nanometer in volume shipment. Marvell is the powerhouse here. We are in the middle of the fastest ramp of 800 gig and 1.6T. Interconnect is critical to AI and the way we engage with the customer has evolved right along with it. 10 years ago, it's very simple. You get a spec from standard body and build to it. However, early on, we realized that model wasn't sustainable for the market where it's heading. So Marvell established a multigenerational codesign model, working directly with the cloud customers, system integrators, and optical component vendor in the ecosystem to build it together, years ahead of deployment.

The result is a solution that is aligned to the customers' architectural need from day 1 and ready to run when the moment is needed. This is even more important in today's AI era, where GPU and XPU refreshes occur every 12 to 18 months. Fast forward to today and our approach to 1.6T reflects just how much AI workload has diversified, training, inference, networking, security. So rather than one solution, we are executing on multiple optimized 1.6T products in parallel, each purposely built. Ara being the foundation, Ara T optimized for power, for introducing TRO optics, Ara X for link robustness, [ Ara M ] for security visibilty in MACsec and Petra for flexible network development. Hyperscaler customers need this multiple optimized solution so they can have the optionality and the flexibility to deploy their network and compute. Our market has outgrown a one-size-fits-all approach. Long gone are days that one product for each generation is sufficient to support this market. We expanded our portfolio to support it.

We have the parallel engineering resources to deliver all of them to our customers' time line. We invest and they scale. Looking ahead, the jump to 3.2T brings a new set of demand. Even as hyperscalers are deploying 1.6T, we are already working on the next step. Double the bandwidth at a much larger scale, more robust, more power efficient, and still in the pluggable transceiver form factor our customers know how to deploy. We started working on this requirement more than 2 years ago. Marvell was first to show a live demonstration of 400 gig per PAM4 in 3-nanometer at OFC 2025. But working with our customer, we learn something important. 3-nanometer alone wasn't the optimal answer and PAM4 modulation has its limits. It's very simple physics. PAM4 has propelled the industry for more than a decade, but at 400 gig per lane, the reach max out around 500-meter to 1 kilometer. Most of scale our interconnect today runs 300 to 500 meters, but larger deployment require reach up to 2 kilometers, and that caused for a more advanced modulation scheme. Our answer is Coherent-lite, where Marvell is first. It bridges PAM4 optics with traditional long-range coherent technologies with a balanced approach to power and cost, giving customers the best of both worlds without forcing a trade-off.

We don't just talk about it. We showed that 3 weeks ago at the ECOC, European Conference on Optical Communication Marvell demonstrated industry first 2-nanometer technology live, low power, 2-nanometer 3.2T solution with 400 gig per lane PAM. 3.2T Coherent-lite for data center and campus reach with balanced power and cost. We started this journey years ago. As a matter of fact, we are in volume production and shipment of our first-generation 1.6T Coherent-lite with O-band optics for campus application. We are bringing Coherent-lite into data center. And our 2-nanometer approach reflects our long-term understanding of the technology and the market and the uniqueness of Marvell to support both PAM4 and Coherent-lite. This is the same platform leadership story extended. We built our DSP, TIA, and driver technology with our own leadership IP, and it is what carried us from 200 gig through 1.6T. Where we are first to ship 3-nanometer in volume. At 3.2T, we are leading with 2-nanometer Coherent-lite and 2-nanometer 400-gig PAM, and the road map continues on to 6.4T. We have the technology depth and breadth and we developed it years ahead of when the market is needed. Scale up is the largest revenue driver from our interconnect business today and continues to be strong in the future.

Now let me talk about what we are doing to bring optics into the package, which is what we call scale in. Why is this important? As bandwidth continue to scale interface between chip-to-chip and chip to memory will become the bottleneck. At the same time, the die-size are increasingly getting bigger. So not only the speed is getting faster, it is also need to transmit longer, in some cases, meters. Traditional interface shown on the left-hand side is built upon electrical SerDes. Electrical die-to-die SerDes has been a workhorse, but it does not scale to what is coming next. We could meet the bandwidth requirement by increasingly speed over time. However, the distance has its limitation. Together with our customer, we identified a solution to it designed to replace traditional SerDes for all future generations. We take next-generation life source technology. MicroLEDs and the micro VCSEL and integrate them directly into the package on the silicon with optical SerDes. This breakthrough isn't the light source of the laser itself. It is the integration, the system-level design and advanced packaging that make it all work, all based on high volume component that is ready to scale for on-chip interconnect.

This level of integration takes actual ordinary engineering. We are already working with customers who are looking to bring this solution into their system. Over time, this could be yet another multibillion-dollar business for Marvell. So let me bring that together. Marvell has built a strong position across 3 things: technology, deeper customer engagement, and scale. These are not 3 separate threats. There are one connected advantages. In scale out, this is our most established business and existing leadership position with new design in coming continue to drive growth. Our DSP revenue has already grown into multibillion annually, and our analog business is rapidly headed towards $1 billion plus annually. We see strong growth continuing in scale out demand with data center, the double -- data double generation to generation accompanied by an increased content for Marvell. In addition, we are seeing new opportunities opening up for scale up with our TIA and drivers with significant revenue ramping next year. As a result, I expect the DSP and analog business that I manage to remain the largest contributor to an overall interconnect revenue, which is in aggregate we expect to reach approximately $37 million in FY '31 at the midpoint of our forecast.

Across all 3, the investment we are making today in technology, the customer codesign, and the manufacturing scale on what let us keep us leading at every hub, every distance, and every generation. Thank you.

Please welcome, Senior Vice President and General Manager, Data Center Interconnect business, Russ Esmacher.

Good morning, everyone. I'm Russ Esmacher, and I lead the Data Center Interconnect business at Marvell, connectivity-first led company. Simply put, my business interconnects data centers to the highest bandwidth and the highest speeds over optical fiber. Now there's been a lot of 10th anniversaries from Marvell today from Chris, Matt, Xi, this is also my 10th anniversary, my 10-month anniversary here at Marvell. If you're not -- see a lot of familiar faces out there. I've been this industry for almost 30 years. I started with my graduate work in electro-optics and high-speed optics, and then progressing to some of the largest IP and optical OEMs in the market, including Cisco, Nokia, and most recently, Infinera. I could not be more excited today to be at Marvell and lead and have the privilege to lead the most experienced, coherent, pluggable team in the market.

So let's hop right in. Marvell has connections for AI infrastructure at all distances. We've heard Xi describe our advance in our leadership and scale out and scale in and Dave will cover next scale up. And I'm here to talk to you today about scale across. Now this market is very dynamic and data center interconnect is changing. So let's jump in to scale across. Now the DCI market has a lot of really positive tailwinds today. First, power efficiency. We heard Sandeep mention this in his talk. It has been a transition over the last 10 years from boxes to pluggables to interconnect data centers. This is nothing new to Marvell, partnering closely with our hyperscaler customers we pioneered and invented this market a decade ago. Data center densification. We're all very familiar data centers are trying to find more power, more locations. This is densifying the network full of data centers.

What does this mean? More fibers, more connectivity, and it's actually shrinking the distance between the data centers, providing more opportunities for the application of coherent pluggables, another very strong tailwind. Third, line system density, millions of kilometers of fiber are going in annually into the network, easy to be lit by optical line systems. There's been tremendous innovation here in the last 2 or 3 years that are allowing this type of high density to accept all of the bandwidth generated from coherent pluggables another third strong driver for coherent pluggables in the market. Now as strong as these 3 tailwinds are, there's a fourth one that has come on very strong in the last 2 years. And this is scale across. This is redefining the data center interconnect market. This is the direct connection of AI clusters to each other from distances from maybe 10 kilometers on a campus, all the way up to 1,000 kilometers. However, the bandwidth here is not the same as traditional DCI just connecting data centers, it's 15x ex the bandwidth. And we're going to jump into this and the impact this is having on the pace of innovation required to deliver such a massive amount of bandwidth in such a short period of time. Again, very strong tailwinds into this market.

Now as I mentioned earlier, Marvell led the pluggable transition a decade ago, moving from boxes to smaller boxes moving into pluggables, this move from boxes to pluggables provides a 75% TCO reduction for hyperscalers. And each generation of pluggables provides a 50% power reduction per generation. As we can see here, there is significant power savings and power efficiency, but we can also look that time frames are increasing. The pace of innovation is pulling the DSPs forward. And this requires an extremely strong technical and deep customer partnership to deliver these. And so we used to have 4 years between generations. It's now down to 2. We used to be able to have 1 DSP for each generation. Now it's multiple.

Now let's jump a little bit further into scale across in the AI clusters. 15x the bandwidth. What this does to the market is very profound. Not only is it more bandwidth, it drives the unit capacity of pluggables way up. I'll give you an example. This year, the total addressable market in units coherent pluggables is right under 1 million. Now versus Xi's business, this is a relatively small unit. But for coherent optics, this is a very large number. By calendar '30, our FY '31, the demand for coherent pluggables between data centers grows to over 3 million units. This is an extremely steep ramp. However, this is perfectly aligned to Marvell's strength as a semiconductor powerhouse and an at-scale optics provider. We are ready to meet this steep ramp and continue to lead and innovate for our customers.

Now this is also pulling forward the pace of innovation with regards to speed. It feels like we just got to 1.6T because we just did. But now 3.2 is required. We must continue to invest and keep the pace of innovation rolling. Now Marvell is also unique in another regard. We have 2 distinct paths to market. Number one, our coherent module business. And we've been in this for a decade. And this allows us to partner very closely with hyperscalers to deliver these modules based on performance and power and speed and security to them. However, there is a very broad market, and we are the leading merchant coherent DSP provider in the market. And this allows us to address all of the accelerating demand, whether it's from hyperscalers, neo scalers or carriers between these 2 very distinct and unique paths.

Now let's look inside a little bit deeper into the coherent module. And I will tell you, these modules, they look innocent enough. Very small fit in your pocket, I will tell you, these run at the highest bandwidth, highest speeds, across every technology Marvell provides today. So all the advancements that Sandeep mentioned, that Xi mentioned are inside of these modules. Marvell is a powerhouse year because everything you see in blue is designed from the ground up by Marvell. Now let's talk a little bit about that laser that's in there. We co-design and codevelop this laser with the leading laser manufacturers in the world who can provide us high quality, high reliability, and highest volume. Now we're also very fortunate and I feel privileged to lead the largest coherent team in the market. We have the largest and most experienced DSP team in the world. They've been working on this since 2006. So they're in their 20th year now. Second, leveraging Marvell's powerhouse advanced SerDes that Sandeep walked us through. Third, we have the best, fastest, and deepest converters to convert the analog to digital and digital to analog back into the DSP.

And last but not -- certainly not least, the most experienced and deepest photonics team to do the high package integration of the optics to the electronics. They've been working on this also for more than 20 years. Now putting all these technologies together is crucial. But I will tell you one of the most difficult pieces with this high-speed, high-bandwidth optics is the high-volume manufacturability. And this is where Marvell excels. And I've been in lots of different optics companies. I can say with high confidence this is a superpower for Marvell that allows us to deliver units at volume to meet that steep ramp. Today, Marvell has more than 1 million coherent modules and SerDes, over 15 billion field hours. We've been in this business since that we started it. We continue to innovate and lead today.

So for me, when I look at all these core competencies, deep technical, this was a very compelling reason. I feel very privileged to lead this team and have joined Marvell. Now multigenerational scale across requires leadership from a long time. We got into this business at 100 gig ZR about 10 years ago. We've been innovative with our customers and brought 400 gig ZR to market. Then we have 800 gig ZR. And we partnered with our customers, and they said we would like you to place -- please put encryption and higher performance in 800 gig, we need this now. So we've built another DSP for them. We had these new features inside of it. And as you can see, as we go to 1.6T, multiple DSPs are required whether it's for campus, metro, long haul, these are optimized for performance, power, and distance. And 3.2T is under development as we speak. This requires not only more DSPs, but much like 1.6T new materials. As Sandeep mentioned 1.6T required thin-film lithium niobate, 30 years later, I'm excited to work on lithium niobate again.

But now plasmonics is here. This requires higher bandwidth, lower power, shorter modulators, and we are making the investments in this technology to ensure that it's ready when needed for 3.2T and will also be first with 14-angstrom DSPs. Marvell is the leader at 2-nanometer technology. And we didn't do 1. Two new DSPs, new modules. We demonstrated these publicly for the first time 2 weeks ago at the European Conference on Optical Communications in Spain. And I'll say in our industry, this is rare to be able to deliver 2 DSPs at the same time. And I would contend it's been the first time it's been done in the industry that on leading node in the market, 2 simultaneous coherent DSPs were built, brought up, demonstrated both our technology and our partners as a leading merchant at the same time. This is the pace of innovation that our customers are counting on Marvell to continue to deliver, and I'm very, very proud of the team who executed this flawlessly with the first tape out on the first shuttle in January.

But like Xi said, demonstrating it is what's important. Having modules, having a little samples, it's great, showing it to our customers on time, first time right is what they count on us for. And this is the live demonstrations in our booth and then our partners' booths publicly at the European conference. So again, thank you to the team who is able to deliver this first for our customers. Now bringing this all together, in summary, I could not be more excited about the tailwind in this business and the team we've assembled over decades to continue to deliver for our customers. Again, we have very strong tailwinds. We see our TAM expanding rapidly, both in units and revenue. In addition, we are shipping to the top 5 hyperscalers today. We are deeply embedded with design with them and making sure we deliver the right technology at the right time with the right features.

As a result, we are on track to drive revenue from business from roughly $500 million in fiscal '26 to safely over $1 billion in fiscal '28 with a clear path to multiple billions in the subsequent financial years in the strategic period FY '29 through '31. I'd like to thank our customers, our partners and the Marvell team for continuing to deliver innovation at scale and on time for our customers. Thank you.

Please welcome, Executive Vice President and General Manager, Data Center Networking business, Dave Lazovsky.

Good morning. I'm Dave Lazovsky, the EVP and GM of the Data Center Networking Group. I joined Marvell in February of this year with the acquisition of Celestial AI. I was formerly the founder and CEO of Celestial AI. So this is my first Marvell Investor Day, and I couldn't be happier to be here. I'm excited about the opportunity here before us. I'm thrilled by the magnitude of the opportunity we've got both in scale up switching and in optics. I feel that Marvell is layering strength on strength with our inorganic growth strategy. As you heard from Matt, we have invested as a company over $40 billion over the course of the last 10 years in innovative technologies and in leading teams. And my business group is the beneficiary in large part for a lot of those investments. So I'm excited about the position that we're in and couldn't be happier to be a part of Marvell right now.

So let's dive into the data center networking business group. The group is comprised of 3 different business units, cloud optics that you just heard from Russ, that includes pluggable data center transceivers and DCI and then switching and integrated optics. Switching includes both scale up and scale out and integrated optics is NPO and CPO. I'm going to focus my talk on these 2 areas of integrated optics and switching. Let's start with switching. So as Matt mentioned, we have an established and growing business in Ethernet switches based on our Teralynx platform. We expect that business, driven in large part by the ramp right now in 51T (sic) [ 51.2T ] switches to exceed north of $1 billion and significantly so next fiscal year. In addition to that, what we're most excited about is a new flagship product that we have recently released which is based on much of the technology that Sandeep introduced in his talk earlier today. This is our Teralynx T100 product. And this it introduces multiple leading-edge disruptive technology capabilities, including it is the first and only monolithic full reticle-limited die that is operating at a full 100 (sic) [ 102.4 ] terabits per second of bandwidth.

How we've achieved this is, as Sandeep pointed out, Marvell has the world's leading 200-gig and 400-gig SerDes. We have 512, 200-gig SerDes in a single reticle-limited die in this device. Why does that matter? Well, it matters because if it's a uniform monolithic device, that means that the latency of this device is significantly lower than a multi-die multi-chip module package. Our latency is leading edge. We're on the order of 20% or more, lower latency and in fact, lower power than any leading competitor in this space. And why that matters is because we can use this device uniquely to serve both scale out applications for conventional Ethernet as well as scale up this emerging market that is taking off right now. So we're thrilled about the opportunity for the 100T switch, and we expect the 100T switch as a product in and of itself to layer on incremental multiple billions of dollars of annual revenue in the coming years. So a huge opportunity from this switch alone.

But right behind that, we have a series of additional Ethernet-based switch solutions. That includes the 200G switch. It includes the 400G switch, and we have ESUN, Ethernet Scale-up Network solutions that include an E115, 115T (sic) [ 115.2T ] Ethernet optimized for scale up, similarly 230 (sic) [ 230.4T ] and 460 (sic) [ 460.8 T ] in the pipeline. So a broad suite of Ethernet-based switches and ESUN based solutions for scale up and scale out. In addition to that, Marvell is developing for our customers UALink-based switches. We're building now, and we'll be releasing next year a UALink U115 switch that is being deployed at one of the industry's leading hyperscalers. And right behind that, we have the U115 -- excuse me, the U230 and U460 switch, a broad portfolio, the industry's broadest portfolio of scale-up and scale-out switch technologies we have within Marvell, excited about this opportunity, a growth engine for the company going forward.

And the opportunity extends also to not just UAL based protocols and Ethernet or ESUN-based protocols. But as you -- as Matt mentioned, we have partnered earlier this year with NVIDIA, and we now offer NVLink based protocol solutions for our customers. So we have the ability to craft solutions for all of our customers for scale up and scale out to meet their requirements on an application-by-application basis and on a customer-by-customer basis. So let's discuss -- what I'll do is I'll go into much more detail on scale up. You heard from Xi and you heard from Russ scale -- the scale across, scale out and scale in markets. I'm going to dive into scale up in detail not just talking about the products and technologies but about the application drivers at the artificial intelligence workload level that are driving requirements for the next wave of data center infrastructure, specifically in scale up.

We feel that scale up is going to drive a tremendous opportunity for the company. It's an inflection point. And it's an inflection point, in particular, with this transition from copper to optical interconnectivity that Marvell is so well positioned to lead. So let's begin with the workloads. The workloads that we've been addressing as an industry over the course of the last several years, began with the ability to train multitrillion parameter models. And this is hard, right? So it puts a lot of pressure on all of the resources on compute, on memory, a lot of network intensity. But over the course of the last couple of years, 2 years ago, specifically, there is a new wave of inference-based models, which are our inference time compute. And what that did is it introduced a set of requirements for higher capacity bandwidth, higher capacity, high bandwidth memory and it introduced the need for scale up networks to increase the amount of memory semantic interconnectivity within the scale of domain, XPU to XPU connectivity. Those workloads were driven by OpenAI o3 and o1, for example, an DeepSeek-R1 that was released a couple of years ago.

And then more recently, you see this push toward mixture of experts and longer context-based workloads. This was the result of a very important innovation that took place in June of 2023, about 3 years ago at Berkeley. And at UC Berkeley, a group introduced an open source inference engine called vLLM and one of the important innovations inside of vLLM was KV cache. And KV cache has now proliferated rapidly through the industry, and it's enabling much more efficient utilization of memory. So I'm going to spend some time in this talk talking about the impact that KV cache is having on the data center infrastructure that we're building with all of our hyperscale customers. But all of these innovations have come together and a shift at the same time has taken place. A shift from a training centric environment for data center infrastructure to an increasingly inference centric infrastructure.

Today, about 60% of total data center infrastructure is inference. And as you all know, inference is the return on that ROI equation. Training is the investment. So we're seeing not just an increase in inference. We're seeing an increase in efficient inference. So what that has done in turn is drive a significant increase in the operating profitability, the operating performance -- operating profits of the cloud service providers. Three years ago, there were some cloud service providers that had operating profits in mid-single digits. Today, almost all of them are seeing operating margins that are approaching 40%. The math is working. The flywheel is spinning. Those profits are being reinvested in data center infrastructure. The $1.6 trillion of CapEx that you just heard from Chris, that's being invested this year, going to $3 trillion as we exit the decade. It's the largest infrastructure investment in the history of humanity. And the fact is it's justified because these are profitable workloads. So that investment is taking place across compute, across memory, across networking and across connectivity, the market is coming to us. We're extraordinarily well positioned from where we sit right now at Marvell.

So let's dive into specifically what's happening within reasoning models and why we care about with this group of researchers that UC Berkeley did 3 years ago. But we don't really care so much about that as much as we do about the utilization, the efficient utilization of memory. What we care about is how the model is building the context token by token. So again, this group introduced the concept of KV cache. So what is KV cache? KV cache is the storing of key and value matrices rather than requiring the need to recompute that stuff. So you have the information available and high-speed memory so that it makes the interaction in reasoning models rapid, right? So you don't have to wait for recompute, humans are inherently impatient, right? So the problem, though, is that the amount of KV cache is not unlimited. So it puts a lot of intensity on memory capacity on memory bandwidth, and it puts a lot of intensity on the network latency. But at some point, you exceed the amount of available KV cache in the system.

And at that point, 1 of 2 things happens. You either need to reload from a different location in the memory hierarchy, those key in value parameters or you have to go back and recompute them. And in both cases, you have to make room in the KV cache for the new key value indices and you have to inject or evict information to make room for it, which can potentially result in hallucinations. So in all cases, this reloading and recomputing results in inefficiencies. It drives higher memory latency. It drives a need for memory and compute transactions, overall, a negative impact on the efficiency of these systems. So ideally, we have systems that have -- and ideally, insane amount of KV cache, high-speed memory that's available that can be addressed by any XPU. The problem is, it is not infinite. The KV cache is finite. So how we're addressing this issue is at the system level.

We're addressing it first with maximizing the amount of high-speed SRAM on the chip, we then increase the amount of high-bandwidth memory in the package, right? So if you look, for example, at state-of-the-art GPUs today, Rubin from NVIDIA, Rubin has roughly 300 gigabytes of memory capacity in the package. The problem is that, that 300 gigabytes is orders of magnitude too small to deal with today's advanced AI models. So that has driven NVIDIA and the rest of the hyperscalers to build systems that interconnect multiple XPUs together in a memory-semantic scale-up domain. In the case of NVIDIA, they use NVLink and NVSwitch. Right now there's 72 interconnected XPUs inside of that rack. The problem is that the memory requirements are insatiable. They're continuing to grow, and they're spilling over what will fit in the rack. The industry needs multi-rack scale-up domains, growing to 512, 576 and beyond.

So how do you get there? And what are the challenges, right? So some of the challenges are, today, 100% of all interconnected XPUs inside of all racks are copper, all of it. That is both the challenge and the opportunity for Marvell. So why is that? So why not just take that copper and extend it to a multi-rack domain? Well, the problem is that the data rates that we're running at, which are 200, 224 gigabits per second, they're going by the way to 448 gigabits per second. But at 200 gigabits per second, the reach that you've got is 2.5 meters. It forces you inside the rack, right? So the only way to overcome this limitation within the scale of domain is optics rather than fighting the laws of physics, knowing that moving information over copper electronically, you're dealing with electronics and unfortunately, electronics have mass.

The beautiful thing about optics is that they have no resting mass right? So it gives us the ability to leverage physics. You use it to our advantage that are trying to fight the laws of physics. It gives us the ability to increase fully connected scale-up domains with optics. Larger numbers of directly interconnected XPUs is sharing the same memory with extremely high bandwidth and with extremely low latency. But the bar is high. It's very different, right, than a scale-out network. If you think about it, the XPU on the left here has to be able to operate, do a load store transaction and address the XPU on the right, the memory in that XPU and pull it across the network. And ideally, it is operating as if it's the same performance in terms of bandwidth and latency as the memory on the package. That is challenging, right? Because HBM has very high bandwidth. It's 10s of terabits per second now. HBM 4 has about 16 terabits per second of bandwidth. And you do not want the network to be the bottleneck for memory transaction. You also want to be able to minimize latency.

Again, the latency for these applications and reasoning translates directly to revenue for our customers. The latency inside of the package is less than 100 nanoseconds. Latency going over a scale-out network, if you had to use a scale-out network for this would be hundreds of times greater than the local memory latency. So what you really need is the latency down around 200 nanoseconds. Really, really fast memory transactions also with low power. Sandeep pointed out earlier that the amount of data traffic going across scale-up networks is 85% of total data center data traffic, 85% of it. Only 15% is scale out. What that means is that if you can reduce power here, even a few picojoules per bit, you can repurpose that energy that's being used to move information and use it to compute information or tokens can be generated. Tokens aren't generated, move information. So the options that we've got for addressing this set of challenges are, unfortunately, not pluggables.

As you just heard from Xi, the leading-edge pluggables are going from 1.6T to 3.2. It's an order of magnitude, lower in terms of bandwidth. The power is not there. The latency is not there. They're not designed for these applications. This application requires integrated optics. It requires NPO and CPO. The good thing about the circumstance though for Marvell is that the market's just come to us because we have a full suite, as Xi pointed out, of optical technologies that we have built over the course of the last 25 years with the best team on the planet building these technologies. And they -- we bucket them in 3 categories. They're the category of working with module providers in the way that we have with pluggables with supporting and providing these module providers and the overall optics ecosystem with drivers and teams, which we're doing today. And then we have 2 categories of fully integrated, what we call light engines. One of those categories we call Fast Pipe, which are 200 gigabit per second going to 400 gigabit per second per lane in optics. And the other, we call Flat Pipe.

Flat Pipe optics are designed specifically for scale-up networking, much lower latency, much lower power. We have 2 flavors of flat pipe, One is based on industry standards that are emerging now. OCI MSA, big set of acronyms that stands for Optical Compute Interconnect, Multi-Supplier Agreement. That's basically the industry converging around ESUN based optical scale up networks and they've landed there. So it's a set of optics that the industry has standardized on or is working on standardizing on, we have that as an option. The other is the technology we developed it, Celestial AI, the Photonic Fabric, which is fully optimized again, ideally for scale up networks where we've got strong customer demand. We put checks in the win column as it relates to customer demand across all 3 of these categories. We're winning in delivering drivers and TIAs to module providers today. We have won a major socket recently, and we're winning multiple sockets in Fast Pipe optics. And we have won sockets, including the world's leading hyperscalers in Flat Pipe as well.

So let's double-click on this and take a look at the level of complexity of these devices, right? What's in here, right? So in the case of the Fast Pipe light engines here's our 200, 400G. You see we're able to leverage things like our optical DSPs and the range of optical DSPs that we've got that are fully retimed or transmit retimed optics. And then if you blow open the light engine, you can see a lot of the innovation that Marvell again has developed over the course of the last 25 years in advanced drivers and TIAs, including silicon germanium. And then we have, again, tapping into the know-how that we've got in silicon photonics with Mach-Zehnder interferometer. So -- and all of the optics and packaging and scale that you heard from Russ and Xi, leveraging all of that in an NPO form factor. So a large opportunity, Fast Pipe optics, excited about that opportunity.

On the Flat Pipe side, very similar other than the fact that this technology has been designed from the ground up for this application, scale up. And what we've done is if you -- the light engine is far more integrated, right? It's a deeper level of integration in the optics. So all of the discrete components are now fully integrated in an advanced ASIC. This is the drivers, the TIAs, the controllers, and most importantly, analog SerDes. These systems are designed to eliminate the need for digital signal processors. We're using analog equalization. And by eliminating the DSP, you take the largest power contributor and the largest area contributor out of the equation, game changing as it relates to performance, game changing as it relates to latency. The ultimate optimal solutions. By the way, that fast pipe, the flat pipe is applicable for both, I'll jump back because it's important. It's applicable for both MRM-based silicon photonics as well as EAM or electro-absorption modulator based photonics sharing the same control electronics, the same advanced ASICs. So this is where we brought the teams together from all that horsepower power that's come from Marvell over the last 25 years with our team from Celestial AI.

So now form factor. Some customers are interested in NPO-based form factor, some are interested in CPO. From our standpoint, the answer is yes, right? We're agnostic. If a customer's operational priorities, our field replaceability of the optics, they're worried about blast radius of a failure or if they want reconfigurability use an NPO, plug it into the board. And if there's a concern, you swap it out, not a problem. For those customers, on the other hand, that are looking for the ultimate in performance, the lowest latency, the lowest power, we're offering today and we have customers deploying co-packaged optics. So this is the deepest level of integration, which provides the most superior performance for scale up network solutions. We are -- we have developed both and we are in the process of deploying both. So again, Marvell is in a position where we don't have to force our customers to make a choice, we can embrace them. And in fact, that's how we do it.

So if you think about how all of this technology comes together and how we work with customers, our customers are operating with us as an extension of their own teams. We're engaging with them to understand what their requirements are for developing -- architecting and developing the right scale-up network across the entire link from the XPU interface going -- in some cases, going from copper to the right optical I/O, determining what is the right physical layer, what optics do they want to run? What is the right logical layer, what protocol do they want to run to the switch, all of it. And these things are highly integrated and highly interdependent, right? So most of these programs that we have with the large hyperscalers in the world have started years ago. So we're working with them to develop solutions for scale up networking that takes time to get developed and implement and deploy it, right? And it enables us to design and optimize for linked performance, including power, latency, bandwidth, it enables us to accelerate time to market and time to first token generation with them, and it also helps them derisk the operation of these devices by leveraging things like telemetry. So they can see the stability and the resiliency of their links and employ things like security to ensure that in the world of agentic AI, their links are fully secure.

So these are examples of how we're working together using the leading-edge technology that Marvell has brought together to address these rapidly evolving architectures in scale up networking. Now what I'm about to show you is how we are adding new capabilities and tools to the toolbox to help our customers disrupt this, meaning help them craft system architectures that can provide next-level capabilities for dealing with things like KV cache sizes. The ability to decouple memory scaling, high speed, high capacity, high bandwidth memory scaling from compute. So what you're looking at right here is what we call the photonic fabric memory module. These modules, 8 to 16 of them are integrated in a photonic fabric memory appliance. And what it does is it provides the first time really in history, the ability to decouple memory scaling from compute. The only sockets that are currently available for HBM today reside 1.5 millimeters away from an XPU or a GPU. So what that means is that our customers are forced to use their GPUs as the world's most expensive memory controller. This technology changes that. It changes fundamentally the economics of memory. And we're excited about where we stand with this. This is a product that we taped out earlier this year. It's been brought up now, and we'll be sampling with multiple customers as we move into next year. So very excited about this opportunity.

So in closing, I'd like you to take away 3 primary things from what I covered. The first is that we have an established scale out switching business. All of our business in switching today, all of it, is scale out. Now that business is growing is doubling year-over-year, this year and will double -- more than double again year-over-year next to a well over $1 billion annual run rate. And that will grow to a multibillion dollar annual run rate in scale up switching -- scale out, excuse me, switching alone. In addition to that, we are leading and enabling this new emerging market segment of scale up switching. And there, we have significant, significant customer traction. We expect scale up to layer in an additional multibillion dollar annual recurring revenue opportunity for Marvell. And in addition to that, we have scale up optics. And what's interesting about scale up optics is the fact that there is significant Marvell content. It's -- there's a significant content for a few reasons: one, because the bandwidths are so high.

The other because you saw the level of content in these highly integrated devices like the Fast Pipe and the Flat Pipe light engines, a lot of content. So the -- if you think about it in terms of the dollar content for scale up optics per XPU. You should think about this in the context of on the order of thousands of dollars of scale-up optics per XPU,right? So it's large, valuable technology. But it's bigger than that. The optics are required on both sides of the link and our customers, in large part, are looking for comprehensive end-to-end solutions. The optics are required on both the XPU side as well as the switch side of these links. So we're excited about the magnitude of what the scale of optics market segment brings to Marvell and the fact that this market has just come to us.

So with that, we are in the right place at the right time with the right technology, and we've got the right trusted team to execute. So with that, I'd like to say, thank you.

Please welcome, Executive Vice President and General Manager, Custom Cloud Solutions business, Will Chu.

All right. Good morning. My name is Will Chu. I've been with Marvell for 9 years, and I lead our Custom business. At last year's Custom AI investor event, I talked about how Marvell was becoming a leader in custom solutions. I thought my team was pretty busy then. It turns out we were just getting started. Since then, our traction and opportunity have grown dramatically. We've increased our fiscal '29 revenue outlook from more than $10 billion to more than $12 billion, and we're on a path to approximately $30 billion by fiscal '31 at the midpoint of our long-term target range.

Today, I'm super excited to show you what's driving that growth. Okay. Let me start with how we build the custom business from the ground up. Very early on, we saw that hyperscalers were going to need significantly more custom solutions. We recognize that Marvell already had the core IP to address this market and world-class engineering teams with 30 years experience in storage and custom ASICs, 25 years in networking, compute and security. We also had decades of experience taking the core IP from our merchant products to create semi-custom and full custom solutions. My mission has been to integrate these teams with our core IPs and build a custom solutions leader. We are focused on XPUs and a diverse set of XPU-attached solutions and on customers that leverages Marvell's entire technology platform. Our strategy is working. At last year's custom AI investor event, I talked about the 18 sockets we had already won. Since then, we've continued with many more designs and with multiple multigenerational wins across the top 4 hyperscalers along with early wins with many others.

That continued momentum is what's driving our strong revenue growth. Let's start with XPUs. Hyperscalers were initially interested in custom XPUs. So that's where we started. Our initial XPUs were already complex devices. One to two reticle size dies with integrated HBM, using 2.5D packaging technology. Today, our XPU business is on track. We've already shipped in high volume, and we're executing very well across all our programs.

Looking forward, XPU complexity will continue to increase as hyperscalers push for more performance. We see more compute dies, more HBM and stand-alone copper I/O chiplets, all integrated using 3.5D packaging. By the N+2 generation, we expect even more compute and HBMs and that these XPUs will approach the copper wall and need to integrate optical IO. This is why at our Custom AI investor event last year, we highlighted the critical technologies you see here. Our deep investment in connectivity IP is another big differentiator and positions us extremely well as XPU architectures continue to scale.

Hyperscalers, we need a partner like Marvell that already has a track record of taking complex XPUs into high-volume production and leading NPO and CPO technology, as Dave highlighted. We are focused on customers that leverage our complete end-to-end portfolio of XPUs with our I/O chiplets, optics and networking. That combination of connectivity leadership and XPU experience sets Marvell up to be a big winner as AI architectures scale.

And our close partnership with NVIDIA further expands that platform. NVIDIA and Marvell are jointly engaged with customers on NVLink Fusion solutions, combining Marvell's custom XPUs and NVIDIA's scale-up connectivity and rack scale infrastructure. Now our opportunity extends beyond the XPU, and there are a number of exciting XPU attach opportunities I'd like to discuss next.

The XPU opportunity really evolved from the traditional data center market. The market had a well-established ecosystem of merchant solutions using standard interfaces like PCIe to support x86 CPUs. Marvell participated in that market for many years. We developed networking, processing, security, storage and memory products and shipped millions to the hyperscalers -- millions of units to the hyperscalers. As the industry transitioned to AI, hyperscalers initially leveraged those merchant solutions. But as XPUs became more complex, they needed increasingly optimized solutions around the XPU. We saw this trend early and proactively engaged our hyperscaler customers to address these new requirements.

Marvell was a natural partner. We had the underlying IP, product expertise, customer credibility and the experience of turning our merchant IP into semi-custom solutions. Now what makes XPU attached very attractive for Marvell is that these sockets are very sticky. They can persist across multiple generations of XPU. They heavily leverage Marvell's IP and expertise, and they extend our reach across the entire infrastructure for AI even with non-Marvell-XPUs.

Let me walk you through a few of them, starting with NICs. In the traditional data center, a vast majority of the market were merchant NICs. Foundational NICs are the most prevalent. There are smart NICs with integrated CPUs and I/O speeds are typically 100 gig or less. Marvell had shipped NICs for decades and millions of parts into production. Marvell invented the SmartNIC back in 2005 and has been in production for over 20 years now.

There are a few merchant NICs on the market today, but all hyperscalers have or are moving to custom because standard NICs lack either the optimization or the performance they need. Hyperscalers are looking for a specific mix of I/O speed, bandwidth and configuration. They need optimized data paths, accelerators as well as custom networking protocols and integrated CPUs dimensioned just right for their applications. All of these requirements tied directly to how efficiently data moves across our network to support their specific workloads.

Marvell is a trusted partner for hyperscalers to solve these challenges. We have leading SerDes IP at 100 gig, 200 gig, 400 gig, decades of experience with NICs, high-performance data path compute and acceleration. We also have the capability to design very complex custom solutions. For example, our latest NIC is greater than 400-millimeter square to give you a sense. We are doing really well here. We have design wins with multiple hyperscalers across multiple generations that are ramping or in execution.

Now let's take a look at memory. In traditional data centers, workloads were compute bound, not memory backed and having memory directly attached to the CPU was generally sufficient. CXL was originally developed for traditional data center applications, not AI. We at Marvell had early investments in CXL, but this market developed slowly. AI changed everything.

Workloads like inference and KV cache are memory hungry and latency sensitive, driving higher memory capacity and bandwidth for both CPUs and XPUs. This surging memory demand, of course, has created a memory shortage. Very early on, we saw the memory wall challenged and worked closely with a leading hyperscaler to define a differentiated solution, leveraging our early investments in CXL.

Today, Marvell is a leader in memory expansion and near-memory compute with the broadest portfolio of high-performance solutions in 5-nanometer. Our early design wins are ramping at multiple hyperscalers. And with multiple multi-generational programs in execution. Our Structera X products support DDR5 and DDR4 for memory recycling, industry-leading memory capacity and compression to extend the capacity further. Our Structera A products bring compute close to memory to accelerate memory-intensive workloads like LLMs and offload the host CPU.

We also have a broad ecosystem across memory, CPU and GPU providers. This is a memory add-in card developed with a leading memory vendor. And the opportunity is expanding beyond CPUs. XPUs need more memory capacity and bandwidth as well. We're now developing custom memory expanders that connects directly to the XPU, at very high speeds using our high-speed SerDes IP, giving the XPUs direct attach to expanded memory. This creates a very exciting new growth vector for our memory expansion business.

And with that, I'll move to storage. Historically, the storage controller market had many merchant solutions, often bundled by the flash vendors with their NAND. There are also merchant accelerators that offload storage and data management functions from the CPU. Again, Marvell brings decades of storage experience with millions of Bravera SSD controllers and accelerators shipped across multiple generations.

Looking ahead, hyperscalers want to control their storage, firmware and software, so they can leverage their investment across multiple generations of SSDs and multiple NAND suppliers without being tied to a specific drive vendor. AI workloads also rely on flash now to continuously feed data to the XPUs, making storage offload performance increasingly important.

This plays directly to our storage heritage. We leverage our merchant technology to build a leading portfolio of semi-custom 5-nanometer SSD controllers and storage accelerators. For hyperscalers developing do-it-yourself SSDs, our multi-vendor controller delivers high performance and custom features while giving them full control of their software.

For storage accelerators, we optimized our merchant technology for an initial hyperscaler and have already secured design wins beyond that initial engagement. Our accelerators increased storage throughput and provide confidential compute and virtualization offload, freeing up the CPU. Now I also see storage requirements continuing to increase, and they're doubling -- they're roughly doubling generation over generation. This is creating a strong tailwind for our custom storage business.

Now I'd like to discuss a couple of emerging XPU attach opportunities that we've never talked about before. The first is a new class of AI infrastructure management silicon. We talked before about NICs, memory and storage. Today, we're introducing an entirely new XPU attached category, driven by a fundamental change in AI infrastructure. In traditional data centers, BMCs monitor the health of a relatively simple server, typically 1 to 2 CPUs.

These servers have approximately 150 sensors generating relatively small amounts of data, so the processing and I/O requirements are pretty modest and the impact of a failing server are also relatively contained, typically 1 to 2 CPUs. AI changes this dramatically.

AI servers are some of the most complex servers ever created with more than 1,500 sensors and generating hundreds of megabytes of data per day. Just managing this complexity requires 1,000x more performance. And the impact of failure is much, much greater. A single XPU failure can disrupt the work of thousands of XPUs. And traditional BMCs weren't designed for this. AI infrastructure needs an entirely new level of performance processing and I/O performance.

Okay, at Marvell, we recognized this challenge early and proactively engaged with multiple hyperscalers to develop a new infrastructure management solution. They needed a much more powerful multi-core processor to monitor the servers -- their servers and switches across their AI infrastructure. We already had deep relationships with these customers and a long history of delivering infrastructure class processors. So we partnered closely with them and developed an optimized solution, leveraging our OCTEON technology, proven 5-nanometer IP and experience in high reliable, mission-critical applications.

The Marvell semi-custom processor delivers the 1,000x increase in performance needed for these AI infrastructure management workloads. Today, we have programs with multiple hyperscalers, creating an attractive XPU attached growth opportunity ahead of us.

Now let's move on to another emerging XPU attach opportunity. The next opportunity is inference acceleration. And this is an exciting emerging category that could significantly expand the XPU TAM. Inference, as you all know, is growing rapidly and architectures are evolving to deliver significantly more performance. One of those changes is the use of specialized inference accelerators to attach to the XPU to offload specific workloads. These are highly complex, large devices that require the most advanced process nodes. This represents another significant silicon opportunity around the XPU and Marvell was already investing in the technologies needed to address it. That includes our high-speed SerDes and die-to-die connectivity with a path to optics.

Our SRAM technology, which can deliver 17x more bandwidth at 2/3 lower standby power than standard solutions and advanced 3.5D packaging technology integrating 3D stacked memory and/or logic die to enable even more performance together. These technologies allow us optimize inference accelerators for performance, bandwidth and power. We believe inference accelerators can become a significant new XPU attached market, and we're already engaged with multiple customers. Marvell has the core technologies to win here.

Okay. So let's summarize. We're engaged with all the major hyperscalers. Since last year's custom AI investor event, we've deepened our customer relationships and have won additional multigenerational designs. All of our XPU programs are on track and XPU attach has become a big multiplier to our opportunity. Standard products are moving to high performance and more complex semi custom solutions for NICs, memory and storage. New attached categories are emerging, including AI infrastructure management and inference acceleration.

As AI performance scales and XPU complexity grows, we see higher attach rates and higher ASPs, significantly expanding our opportunity. You can imagine 1 to 2 sockets attaching to each XPU with ASPs around $1,000. You guys are going to write all that down. Do the math, and you can see how each of these attached categories can represent a $1 billion opportunity with some reaching several billions. So as these programs ramp, we're building a large and increasingly balanced custom business across both XPU and XPU attach.

Okay. I'm very pleased with how quickly our custom business is growing and diversifying. As XPU attach ramps, it will drive greater balance between XPU and XPU attach. We were on track for our custom revenue to more than triple from fiscal '28 to more than $12 billion in fiscal '29, well above our prior fiscal '29 target of more than $10 billion. Looking further ahead, I am personally very confident in our ability to grow custom to approximately $30 billion in fiscal '31 at the midpoint of our long-term target range. My confidence is driven by the momentum I discussed today across all the Tier 1 hyperscalers in both XPU and a diverse set of XPU attached programs.

As you heard from Matt, we don't need new wins to achieve our target. We are in full control of our destiny. We have the customers, the team the technology platform and the programs in place to deliver on the tremendous custom opportunity ahead of us. So like I said at the beginning, we're going to be pretty busy. And we're just getting started. Thank you.

Please welcome Executive Vice President and Chief Financial Officer, Dan Durn.

Hi, everyone. Good morning. Thank you all for coming today. I'm Dan Durn, Chief Financial Officer, and I've been at Marvell a little more than 3 months. From a career perspective, I got my start in the military. I'm absolutely honored to have worn the uniform of my country for a dozen years. Subsequent to my time in the military I spent a little more than 2.5 decades in and around the semiconductor industry. First, as an investment banker with Goldman Sachs in their merger department covering semiconductor companies, then in private equity investing in semiconductor companies, and now in the last 15 years in operating roles as a CFO, leading finance organizations. Before diving into the financial model, I want to share how excited I am about the opportunity we have in front of us.

Marvell, we're at a unique inflection. We believe we're on the cusp of increasing the magnitude of our revenue by a factor of 10, and that's going from $8 billion to $80 billion of revenue at the midpoint of our long-term model and doing it in a very short period of time. And it's all predicated. It's all predicated on a vision, one that was laid out 10 years ago by Matt and the team, and it hasn't changed. A decade later, it is the exact same vision. So what has changed?

We've taken that vision, that North Star for the company and a point of view of where our end markets are going. And we've backed it up. We backed it up with conviction and a decade of investment. We've invested tens of billions of dollars to bring this vision to life. And now we're purpose built. We are purpose-built for this moment. We're intersecting the largest wave of infrastructure investment in human history. And we're doing it with critically enabling IP and foundational technology and it's IP and technology that directly addresses strikes right at the heart of the single biggest rate limiter in data center performance today, and that's connectivity.

How do you efficiently move, store, process and secure data? How do you do it at an absolutely massive scale and power efficiently? We, Marvell -- we're built for this moment, and it's been a decade in the making. And as CFO, I take comfort in the underlying drivers of growth. And you heard it from Matt and the team today, the drivers of growth, they're diverse. They're diverse across products, customers, technologies and multiple generations of design wins. And we've got many shots on goal, and no mega socket is needed to deliver on our long-term targets. I can't think of a better time to be at Marvell.

With that, let's dive into the financials. Before looking forward, let's do a quick recap of how Marvell has performed relative to its long-term targets that we put forward a handful of years ago at our last Investor Day. I think it's important context setting and forms the foundation of our journey ahead. At the time, in 2021, we laid out 3 key priorities and Marvell has delivered on each.

Revenue, we delivered a 23% compound annual growth rate from FY '21 to FY '26, exceeding the high end of our target long-term revenue growth of 15% to 20%. On earnings, we delivered strong operating leverage. Our non-GAAP operating income growing at a 32% compound annual growth rate, nicely outgrowing revenue over this time period.

Finally, capital allocation. We've invested heavily in growth, $8 billion of organic R&D investment, and we've complemented it with $11 billion of inorganic investments, all while returning about $4 billion to shareholders via dividends and share repurchase. So to recap, we've invested in growth. We've returned capital to shareholders all while maintaining a strong and flexible balance sheet.

With that behind us, I know you're here to focus on the next 5 years. So let's jump into that. What have you heard today? First, we see a huge revenue opportunity in the next 5 years, and it's largely coming from our focus on connectivity and compute for our hyperscaler customers. We've got a massive $400 billion TAM in calendar year 2030. And that's a greater than 4x increase from the last TAM we provided. And it's growing at a 45% compound annual growth rate even when factoring in a moderation in data center CapEx, which we have growing at a 35% CAGR over this same time period. So we window back out. Data center CapEx, 35% CAGR. Our opportunity or TAM 45% CAGR. Our revenue growth, 55% to 60% CAGR.

Second, we purpose built a vast array of connectivity and custom technologies to address the massive TAM that we see. That includes our leadership positions in DSP and optics, our analog mixed signal capabilities, our silicon and packaging technologies. These capabilities are foundational to our success. They're truly differentiated and they're truly world-class.

Third, combination of this massive TAM, our key differentiated technologies, that positions us to accelerate our revenue growth in the years ahead. Now let's put some numbers around this. Going forward, we remain focused on the same 3 metrics: driving strong revenue growth, delivering earnings leverage, growing cash flow. And I'll dive deeper into each of these in the subsequent slides, but I just want to share a few quick highlights.

Revenue, we expect the revenue CAGR to be roughly 55% to 60%, which is significantly faster than the growth of data center CapEx and our opportunity, our TAM. On earnings, we expect to grow earnings meaningfully faster than revenue and deliver operating leverage and do it at scale. Finally, we expect to generate strong and growing cash flow that gives us positive optionality for capital allocation in the years ahead. Now let's double-click into each of these individual pieces of the 3 focus areas we just talked about.

So Matt and Chris showed some of this earlier today. They highlighted in a forecast $400 billion TAM for Marvell in calendar year 2030. And as you know, that is the equivalent of our fiscal year 2031. Within that opportunity, we believe Marvell can grow our revenue from $8 billion last year to $80 billion of revenue at the midpoint of our long-term model in FY '31. We expect the communications and other business to grow at the same low single-digit rate that we've discussed in the past. So no change. But as you can see, our data center business, this is the primary driver of the growth with a 65% CAGR at the midpoint of our long-term model in the coming years. So let's dig a bit deeper into the data center.

Consistent with the data center splits that we've highlighted in the past, we see strong growth across all 3 pillars of our data center business in the years ahead; interconnect, custom, switching and storage. For interconnect, with the move to optical connectivity supercharging growth, we forecast a revenue CAGR of about 65% at the midpoint, driven by scale out, scale up and scale across. For switching and storage, we see a revenue CAGR of about 45%, with our switching business expected to grow even faster. And that's driven by scale out and scale up. Finally, custom. We see a revenue CAGR of approximately 80% at the midpoint, and that's driven by both strong acceleration of our XPU business, and strong acceleration of our differentiated and sticky portfolio of XPU attach products.

Taking a step back, the key takeaway, all 3 pillars of our data center business, they've got strong growth in the years ahead. We have 3 large, diversified, high-growth engines that are powering our data center business.

So next question. How does this revenue growth translate into earnings? As we've said for many years, Marvell's gross margin, that's mix dependent. Custom silicon carrying a relatively lower gross margin but has an attractive operating margin due to customer-funded NRE and scale of the business. Merchant silicon on the other hand, has a relatively higher gross margin but also has a higher R&D profile.

So the net of this dynamic, both custom and merchant, yield attractive operating margins despite the variations that they have from a gross margin perspective. We expect to grow operating expenses at roughly half the rate of revenue growth. And that will deliver nice operating leverage as well as a sizable upside to the operating margin in the years to come. Netting this out, we remain committed to growing earnings at a rate that's nicely above our revenue growth between now and FY '31.

So based on this combination of significant revenue growth and strong operating discipline and execution, we're going to deliver a structural increase in the cash flow generative capabilities of Marvell and our priorities for this significant increase in cash generation. We're going to remain oriented towards growth. We're going to continue to fuel the growth of company, and that's going to be both through organic investments and inorganic investments. And we're committed to returning greater than 50% of our free cash flow on average over time, and that's all while maintaining a strong and flexible balance sheet.

So let's summarize all of this in a single table. Our new long-term target model, FY '31. We expect to deliver revenue of $70 billion to $90 billion, and that's driven by a diverse set of customers, products, multigenerational design wins, and that's across all 3 pillars of the data center business. We expect a gross margin of 56% to 59% with the range being mix dependent, and that's consistent with what we've shared in the past.

It's also important to keep in mind this mix dependence. It acts somewhat like a hedge. The low end of the gross margin range, it likely requires a significant upside to the base case revenue forecast for our custom silicon business. Conversely, if connectivity revenue nicely outperforms, our gross margin will likely trend towards the upper end of the 56% to 59% range. So the mix dependence acts as a bit of a hedge.

We expect an operating margin of 44% to 46% as OpEx grows at roughly half the rate of revenue. And taking a step back, putting that in context, our new operating margin target is 6 points higher than the prior long-term target we put forward a handful of years ago. This significant increase in profitability as a result of the increased scale and differentiated positioning we have as a company.

We expect a tax rate of 15% and a free cash flow margin of greater than 36% over time. And I know that you guys all took a stab at what the earnings power of the company is a couple of hours ago, when Matt previewed and laid some bread crumbs. So to demystify it with these assumptions baked in, confirm that you guys got it right, which I'm sure you did, here's the math.

Combination of these metrics imply a non-GAAP EPS of greater than $30 a share in FY '31, at the midpoint. So when I window back out, when I think about the earnings power of this company and how to frame that, I think of $30 in '30, greater than $30 of EPS in calendar 2030, which again is the equivalent of our FY '31. So greater than $30 of EPS in calendar 2030, $30 in '30.

So let me bring you back to a slide from the end of Matt's presentation. Why invest in Marvell? You heard about the technology. You heard from the team, we talked about the large market opportunity. There's 5 numbers I want you to walk away with from this room. $400 billion TAM, calendar year '30, massive and growing. $20 billion, revenue guidance for FY '28, $2 billion higher than our prior guidance. $12 billion-plus custom revenue target, FY '29 up from $10 billion plus. $70 billion to $90 billion, revenue target FY '31, bill bottoms up with a conservative view on data center CapEx. Last $30 in '30, earnings power, long-term model, greater than $30 of non-GAAP EPS in FY '31, $30 in '30.

We at Marvell, we've worked hard to earn the trust of our largest partners. Similarly, we appreciate the trust you, our investors place in us. On behalf of the entire Marvell management team wanted to express appreciation and say thank you.

With that, let me welcome the rest of the team back up, and let's kick off the Q&A. Thank you.

[indiscernible] the Q&A, but before we do that, I think, Matt, just wanted to kick it off with one comment.

Yes. Anyway, it's great to see everybody. We'll do a Q&A and then we'll have lunch. But before I do that, I actually want to give just a special recognition for a moment of a very important person here who has supported you guys tirelessly for really almost 2 decades, and that's Ashish Saran. Ashish joined me in 2018, and Marvell was not in the place that we are today. He was very brave to take this on with me. And they say being a CEO is a lonely job and it is.

And I think one of the few roles and people that understands that implicitly always is the Head of Investor Relations. And so in my darkest times and deepest criticism and things just not going the way we want it because, look, it hasn't been all open to the right for the last 10 years. Although if you look at it, it's pretty good, right? And the 300, not bad. But along the way, Ashish, you and I had a roller coaster. And I just want to have everybody -- Ashish, stand up, please, give Ashish Saran a round of applause. He is retiring soon but we're keeping him on the payroll for a little bit longer because we just can't seem to let him go.

Anyway, with that, why don't we kick off, Ross, and we can moderate the Q&A.

Raise your hands, wait for the mic to get to you, so those on the webcast can listen. And I've been in your seat, so please listen to this last thing. One question. Not 5-part questions, one question. All right. First ask, Vivek.

Matt, my question has to do with your custom opportunities. So to cover that perhaps how multisourced are they? And then maybe look at the forecast, if you gave the $30 billion [indiscernible]?

Yes, sure. Yes, that's a great question, Vivek. I think first, the way to think of it is, fundamentally, these programs that we're executing on are all proprietary sole source. It's Marvell IP and technology, especially when you get to the more complex products and on XPU attach, it actually starts with Marvell at the core. And in some cases, it's our entire design. It's what you call build-to-spec, which means we basically get a specification of the customer, we work with them and we deliver it to them.

And on the magnitude of the opportunity, when you go out to 2030 calendar fiscal '31 and you're looking the $30 billion, what I said is, I think the mix, we still don't know exactly, but think of it as largely balanced, right, between the existing XPU programs we have coming and then XPU-attach. And I could see that tilting one way or the other. I think it depends on how some of these programs take off.

But with respect to the XPU attach and the large strategic agreement that we announced in August, the way that we've got that modeled right now in fiscal '31 is very pragmatic and judged. So don't think of this as the max case when you built your model on what the value of that warrant is. As usual, the way I do it is, I'm not conservative, and I'm not aggressive. I'm pragmatic. I use most probable outcome and we start from there. And then as we build over time, we adjust, right? We adjust our update. So that comprehends not the full value of the warrant, but some portion of it that, in our view, is a very appropriate judge view for this time.

So what that means is you've got to a very healthy set of other sockets coming in because as Will talked about, we had 18 of these already won like a year ago we've layered in more and they're across all the different hyperscalers across all those different technologies. So it really will be a very diversified, rich business when you get to custom in 2030. And it's actually a great way to play custom because you're not rolling the dice on one giant socket and hoping and seeing what happens. We've developed quite a portfolio here. And I think that's going to serve us well as we go through the next few years.

Thanks for the question, Vivek. Next question.

Let me go to Tim.

And I'll direct traffic on these. So ask the question, and I'll farm it out.

So Matt, one, the emerging theme is sort of powered shell and whether there's going to be enough powered shell for all these XPUs. And Jensen would say that there will be enough for his product, but there won't be enough for anybody else's. So I don't know how much does that? I know that you're being very conservative in your XPU model for fiscal '31. But like how do you think about that? Like when you're talking to hyperscale CEOs, is this something that's like coming up?

No, not in the context of our XPU programs, our custom business are, quite frankly, anything to do with our current revenue. The way we have our CapEx, I think to set aside land power and shell, just take a step back, if you look at our model, which is 35% CapEx growth over our period from fiscal '26 to fiscal '31, that's not a linear CapEx. So right now, it's growing like 70% or more, right? And so we anticipate at the tail end of this, it's probably growing more like 20%. So we think we've built in our model just a lot of cushion for the AI business to kind of digest over time.

If CapEx does better, actually, we'll do better but we don't see that as any kind of constraint or any kind of customer discussion at this time. And remember, we're across all the fleets and all the different customers, and we sell to everybody and we sell the systems, not only custom-based systems, but obviously, our broad-based business connects to every GPU, XPU accelerator on the planet. So not an issue for us.

Next question.

Let's go to Tom.

For the interconnect TAM, I was curious if you guys could break that down a little bit further into calendar year '30. I think it was $38 billion. Is that more DSP share, more DSP volume, NPO, CPO? Any kind of breakdown that you could give us. Because that's obviously a really large number and where you see the most growth?

Yes. I'll give you some of the assumptions behind it. Maybe, Chris, you want to chime in after that. But I think the way to think about it just on the growth is that -- and I think, you did a great job, making a very compelling case, right, for why scale out continues to perform. That's our largest business today. That's going to continue, right? So you kind of know what that model looks like today. I think you should assume that we at least can grow with the market. We don't intend to lose any market share there, okay, just to be super clear.

I think Russ did a great job outlining the scale across, which has already been growing, but with this sort of scale across use case, right, with the data traffic increasing and the number of units going up, you should assume that we scale with that, right, and definitely hold our own. By the way, in both of those businesses, each of those generational changes that we go through let's say it's from 800 gig to 1.6T to 3.2T, all of those come with ASP uplifts, right? So it's not just units, but it's also the dollars.

And so I think you can make a model on that, you kind of know those numbers. And then you should just assume in interconnect that scale up optics, which Dave talked about, that's going to layer in the rest. And obviously, that's going to grow at a much faster rate because effectively, we have 0 revenue there today, multi-hundred million starting next year, but that's going to ramp extremely hard. And then who knows, there's a call option on scale in, as G talked about, with some of this micro-emitter technology. That's not really material at that point in FY '31, but it could be. So that's kind of the bucketing I would think about today. It's -- I think we're not going to give a lot more precision than that.

But Chris, is that about right?

Yes, that's right. You got it.

Next question. Why don't we go to Ben up here, please, Carmen.

Ben Reitzes with Melius. I was wondering in the target through FY '31 is there anything in there for the AI labs how are you working with them? Is that potential upside? And if so, which category would it be in? Would it be in customer attached or optics? And how are you thinking about your relationship with those folks?

Yes. I think the answer is yes, and I think the opportunity set is very broad for the labs as well as the current customers we had. As Chris pointed out, I think here's the good thing. In our model today, the core driver and engine of the revenue growth through the period that's currently forecasted is highly leveraged to the big 4, but very diversified. Like I said in my opening we're talking about selling 15, 20, 30 products each to some of these big companies. So very deeply embedded in the infrastructure. That growth of CapEx is robust, but then we see the top 4 taking more and more of that CapEx.

At the same time, I think it's a real call option, some of the things that we're doing as well with the labs. But we would be embedded in that infrastructure no matter what has G said, every model so far that's ever been created has been trained using Marvell connectivity as an example. So that's going to be broadly used across all of the model makers around the world. The upside could be as they look at more custom or other types of solutions, that's an opportunity for Marvell as well.

Why don't we go to Mark over there?

Mark Lipacis, Evercore ISI. I really appreciate it. Really appreciative of you guys taking a stab at what you think about your business in 2030. I think that's something we all try to do, and it's all appreciated the transparency is really appreciated. At the same time, it's really hard to go out that far. And I think if you look at historically, when you have high-growth markets like this, your customers will often make a guess at their demand and give you a forecast that is more than they won, so they get what they need.

And I'm wondering if you could just talk a little bit about how you think about managing that risk and what's different this cycle versus last kind of super cycles? And I'd love to hear, Matt and Dan, you've been around for a while, do you have a perspective on that, I'd love to hear that?

Great. No, thanks, Mark. I'll start off, and then I'll let Dan comment. I think a couple of things. And yes, you're right, we've both been around the block. I'm almost 33 years in this industry, and kind of right at the front line. So I definitely have seen the cycles. I've touched the stove before. I'm not saying I'm perfect, but I understand. A couple of things give us comfort on this. The first is that while we're framing this is a 5-year, and we are, right? We're taking -- because last year was our first full -- last fiscal year was the first full year to start the measurement period. You go out 5 years, that's pretty typical.

But think about it. We have line of sight right now to $20 billion in revenue next year. That's 2027. Our forecast is out through 2030. So you got to assume -- and we feel really good about the next year, okay? So then you got to go '27 to '28, '28 to '29, '29 to '30. That's it. So it's not -- I'm not -- I'm actually not calling the ball like 5 years from today. I'm calling the ball with a retrospective view, right, of what our business has done and how it's performed. And so actually, just to go from '27 to '30, I think we feel really good about that.

Now look, we got it. We're all exposed if the world turns upside down and something happens and I can give those caveats like anyone would always do in the semiconductor industry. Well, what if something big happens. But at the current moment, we don't see that. These programs are completely on track. AI investment continues to be extremely robust. It's outperformed all of our expectations. When I go back to April '24 in the bull market hotel, right, versus now, it's continued to rip.

And I think what's built in from a hedge point of view for us, one, we have CapEx moderating at the end of the period. And then the other thing is we've given you a range, right, a range of outcomes which I think should give you a sense of where we can land. But if you just take the 20 even to the low end of the range, it's not -- so I know these numbers are big, I think anyone's going to try to catch up and -- but as Chris said, like we've had our head wrapped around what this could look like for a while. We got the supply chain lined up. So we have a lot of conviction on what we can go do. But certainly, it's market dependent. And certainly, it's dynamic. But I don't -- I think it is a 3-year kind of a pick, not a 5-year.

Dan, do you want to add anything?

I think that's well said. I don't have anything to add to that great explanation of where we are and captures our thinking.

We go to Tore, please.

Tore Svanberg from Stifel. By the way, I love the $30 billion by '30, simple. I had a question on the XPU and XPU attach business or the custom business. So based on my math, I think you're only targeting about 13% share. Given that XPU attach is so much networking related, and there's not many custom players out there, why wouldn't that number be bigger? Are you just basically giving us your guidance been on the bottoms up? Or are you being conservative? Just wondering why it's not bigger than $30 billion?

Yes. Yes. I totally get the question, and I just want to take a second just to take a step back, the fact that a real question in the room is why is $30 billion so low? I mean that's kind of the question. Because of the market, right? And the market has really run away from everybody, I think, on what I think -- I mean, we sat here in April '24, right, and we called out a $40 billion XPU custom TAM, right? It was a custom TAM, $40 billion, and there was a huge debate, well, custom going to happen. Could it be 20%? Remember all these debates? And now it's like our view is like it's $235 billion.

Where we think about it is, yes, I think we've got a very realistic plan. You should assume on the XPU attach side, that size of the TAM has gotten way bigger than we thought even from a year ago, right? We said that was about $15 billion a year ago. It's gone up by multiples of that, right, in terms of where we can land. And I think -- and we know because of our design win hit rate, our share is going to be very strong in XPU attach. So think of it as XPU attach very strong, multitude of design wins and then XPU, very selective, few key flagship programs carrying us very deep, very long term, but that's kind of how you get that diversified mix over time.

And you're right, if you just do the simple math and you say, hey, $30 billion out of $235 billion that's what you get. You get 13% share, okay? So that's why I think it's actually not an unreasonable target because we're -- by the way, shots on goal all over the place, right? It's just about ultimately where we think we can add value and our customers really want us to participate. That's kind of how we're approaching it. And we're going to be there for them if they want us to do more. But at the current time, you look at Will's book of business, you look at the design wins we have, you just layer it through, I think we have a very, very compelling path to get to the $30 billion with a range on it.

Go over to Blayne.

I want to go back to the scale of opportunity and maybe talk about how that's evolved since the Celestial acquisition. NPO is a big topic. Kind of where you're seeing design activities there? And I'm just curious, you threw in Micro-VCSEL, is that a scale-up opportunity? And where are you with that?

Okay. I'll do an intro, I'm going to have Dave do part and G do part. So here's what's happened on scale up. I mean it's kind of very exciting, okay? So in 2025, we were looking at the scale-up opportunity strategically as a massive inflection. And I remember we did our strategic annual review, G actually stood up there. He showed this chart, and it was just this crazy hockey stick up on scale up optics, like this is happening. And we have a great team inside of Marvell developing scale up optics. Dave showed you that, by the way, that light engine road map that was in the middle of that NPO. That team has been working on that for years.

So what we said is, look, we think this market is going to evolve. We decided to go out and go big and looked at what was out there and ultimately aligned -- and I'll Dave comment in a minute, aligned with Dave and his team to join us and create really this powerhouse optics team and franchise to go after this market, what's happened is the NPO part of it has really gotten a lot of legs.

In parallel, we had gone off and won and got huge position and print position in all of these NPO modules that have been developed over the last few years with our [indiscernible] products, and then you bring in Celestial. So all of a sudden, we closed Celestial, we get into 2026. We start talking road maps combined, we start showing our scale-up switching road map, and it's like out of the woodwork, right? All these designs that we had, one kind of came out of their latent state, like the designs were already won a year ago on NPO at the module vendors. Light engines already been developed. Those are now landing in real customer design wins today.

And so the way it's going to happen, Blayne, I think is that NPO is going to ramp for sure. CPO still tracking. And it's not going to be one goes and then it just falls off and then the other one takes off. It's not going to work that way. NPO is a train that's going to run. It's paving the way with most customers for ultimately going to CPO.

But we have our own CPO engagements where, as Dave said, some customers want to go on some of their platform to the final step. So we're going to drive that in parallel. So don't think of this as some sequential thing. Okay, here's an NPO cycle, here's a CPO cycle, even further than that. Here's a copper cycle, here's an NPO cycle. It doesn't work like that. All these are going to exist in parallel. But that's sort of how we arrived at scale up.

Dave, why don't you make a comment on your perspective? And then G, you can cover the micro emitter opportunity a little bit more and how we think about where that fits in the application stack.

Yes. Maybe a few comments on the acceleration. So what we are seeing is an acceleration of optics based on the drivers that I just walked through. In fact, a half note earlier, we're seeing the industry being effectively forced based on the requirements for artificial intelligence needs to move toward whatever optics that can push into production as quickly as possible. And in many cases, that is using the pluggable data center transceiver and these fast pipe light engines that I walked through, repackaging that into an NPO form factor leveraging either coming from us directly or coming from our module providers and in both cases, for NPO and that form factor, we win. When our module partners win, we win and when we're providing direct fast pipe optics, we win.

The way to think about this market, though, was a little bit confusing. I think there's a little bit of just general confusion around the fact that for us, it doesn't matter, right? So every one of those optical technologies that I walked through, we can provide in either an NPO or a CPO form factor. If our customers want the photonic fabric and an NPO form factor, the answer is yes. It's relatively straightforward to restructure the form factor in exactly what they want.

So one thing that we've done as I mentioned as soon as we integrated the Celestial team with the Marvell Optics team is we took the flat pipe teams and we merged them quickly, right? So we have a singular analog team that's working on fully integrated optics, where we can leverage the whole suite of silicon photonics foundries, and we're working with all of them, right, including TSMC [indiscernible] and we can work across all the different modulator technologies as I pointed out and as you pointed out, so we're completely agnostic. We start with the customers' requirements and we work backward from that.

Great, Dave. Thank you. And then, G, just maybe some comments on microVCSEL and micro LEDs.

Transition from copper to optical, this is a once-in-a-lifetime opportunity. I think the sheer volume and also the application use cases is we have never seen before. So we developed all this technology in the past. We focus on the traditional laser source to enable this technology as Matt and Dave mentioned, but we also start looking at the micro emitter technology, right? So because this market is so big, we are looking for diverse supply chain, not the traditional -- not just the traditional laser sources, but the brand-new type of laser sources.

That can give you more flexibility to help the customer to deploy with this unprecedented volume and that is where we start looking at micro emitter technology, and that can combine with our die-to-die experiences, optical experiences and everything they can combine that as an integrated solution to provide to the market. So that is how we are thinking about this whole thing holistically.

Yes. So for scale-in and scale-up.

We have time for 2 more questions. Harlan there, please. Jennifer?

Harlan Sur, JPMorgan. The XPU attach strategy, I think, is a very smart strategy. As you guys mentioned, it really allows you to exploit the IP, whether that's storage, whether that's memory, whether that's networking, and it really allows you to sort of exploit a lot of the portfolio of IP that the Marvell team has developed. And I think relative to, let's say, a full-blown custom XPU because XPU attach is more heavily biased towards existing Marvell IP, less contribution from your customer. First question is, does that reduce the cycle time, the velocity of bringing these products to market? In other words, relative to a full-blown XPU accelerator, can you bring XPU attach to the market design cycle-wise, like sooner relative to XPU, full-blown accelerator? That's the first question.

And 2nd question, because of maybe the faster time to market and because more Marvell IP per XPU attach, is the gross margin profile relatively richer versus a full-blown like full custom XPU accelerator?

Yes. Harlan, great question. Maybe I'll just cover it quickly. I think the first kind of framework is our customers regardless of XPU attach, we got to move super fast. Now that being said, on XPU attach, because it is highly leveraged and we can actually show like we have products in the market that are -- or maybe the customers already use that product as an example, we can spin very quick time-to-market adjustments and road map adjustments and really tailor these. And that's like -- that's a superpower we have actually is to be able to take some core we have and then customize it. So that's high leverage, which is great.

And -- but on the XPU side, I'd say if there's incremental things that need to be done, we can do those fast. But if you're starting from brand-new process, brand-new package, certainly, that would be a longer cycle time. And then yes, and we even said this at our Investor Day last year, you should expect that the XPU attach side is more gross margin rich than the other. And what we said last year is primarily that's some of which is our IP and differentiation, but it's also the volume.

Although I'll just finally say what's interesting is we started out with this idea of cloud-optimized silicon in 2021. And I think everybody was like, what is that? And even XPU attach last summer, just to be fair, I think it was, hey, is this a diversion because you're just not winning enough XPUs or something. And I'm like, I don't think you understand this is a big market. This is really -- should be a good business for us. So it turns out it's a really good business for us, to your point, it's where the market is moving, and that's going to be a sizable portion of the custom revenue.

But definitely, the volumes, which I think we were thinking were going to be smaller are not small, right? Will talked about this. And you start thinking about number of accelerators, the kind of ASPs we're talking about, the attach rate, and these are meaningful opportunities for a company our size, and they layer in nicely as we head out towards the $80 billion. I actually really like the balance in the portfolio there. Thanks.

All right. One last question. I guess it's kind of poetic. We'll have Chris Rolland do it.

Chris Rolland, all right. You got to do it for me.

All right. Well, first of all, thank you for the shout-out, Matt. I was right. It was a very different, unrecognizable Marvell. The stock was probably low teens at the time, too. So congrats on your success. What was not so successful was the picture of my very large bald head. So my question is actually coming back from ECOC, scale-in, everyone is talking about it, the new buzzword, Matt, you mentioned it as well. People are talking about it as multiples of scale-up even. And I think there's -- maybe we're having some definitional problems here just trying to nail this down. But I think it's all about remote memory access via optics.

And this seems like it could be a potentially massive market that you guys are really well positioned for. And Matt, you said there wasn't anything in your '31 number regarding this. But maybe you can talk about the size of this market, where you think it can be over time, what engagements look like today, what timing looks like because we were hearing maybe calendar '29 would be the earliest scale-in opportunities. And anything else you could say about this market?

Yes. No, I think it's a great way to wrap-up the Q&A because it's a long term, what happens in the future. I think, look, we can give you a whole presentation on that right now. We actually have a point of view. We've got -- we're spending R&D on this right now. We have multiple engagements with multiple customers in this area. I think it's actually going to be massive, but I think today is not the day. We just loaded you guys chock-full of all kinds of awesome information about how the core business alone can take us to multiples of where we are today.

And, but we didn't want to ignore it because I actually think, like I always do for you guys, I mean, I do think about this, like what are we saying now that we can come back to in a few years and then update you on, right? So I think -- but I think just for the group, I think scale-in will be another massive meaningful leg of growth to Marvell, which could start in the period. But certainly, when you think about a future Investor Day and you roll years beyond that, I think that will be a key thematic part of the Marvell connectivity story where you're adding an entirely new basically 4th leg.

Now remember, leg 3 hasn't even started, which is scale-up. But we've already got leg 4 kind of in the chamber, and we're developing -- and we're investing aggressively here. This isn't just like a couple of people running around doing an experiment. We have full-blown teams working on this today with key partners. So I think that will be the last question. Do you want to say a few words and wrap it, Ross? Or you want to say anything first?

Go ahead, and then I'll hit them with some logistics.

Okay. Perfect. He'll handle the logistics. Really appreciate the time today for everyone to come out and everybody on the webcast, investors, Marvell employees, customers, everybody watching. Thanks so much for your interest in the company. It's been an incredible journey over the last 10 years. It's been an honor of a lifetime. I mean when I walked into this company 10 years ago, I mean, I think none of us had any clue where it was going to go. I certainly didn't. I had a point of view, though, I really did. And it's very cool to be here today and be up here with such an incredible group of people.

I mean, you heard it in all the presentations today, the word team, the word team. And this is a fully integrated team. I've also got the rest of my team up here, too. I've got our CTO, our Head of Legal, Head of M&A, don't talk to him, by the way. Head of HR, finance, you name it, like we're all here. And if you're not here and you're on the Marvell team. The whole Marvell team, by the way, is 9,000-plus strong, you're on the call. Thank all of you. Really, you guys did an amazing job today. I'm really proud of all of you. And thank you for your interest in the company. We're going to have a great lunch, and we're going to have to tell some stories and talk about bull market hotel one more time. Ross, go ahead.

Perfect. So thank you, Matt. Lunch, straight across, past the stairs. The whole executive team will be at tables in there. No need to come up and mob everyone quite yet, do that on the other side. Let us have a chance to get the microphones off. So head over there, start getting into lunch, and we'll join you momentarily. Thank you, everyone.

Yes. Great. Thanks, everybody.

Welcome to day 2 of Citi Global TMT Conference and the lunch keynote. It's my pleasure to welcome Matt Murphy, Chairman and CEO; and Dan Durn, Chief Financial Officer of Marvell Technology. Marvell is the top-performing AI semis stock year-to-date. And according to the baker of the 5-layer cake, Jensen Huang, the next trillion-dollar company.

Matt?

That quieted the room.

Right. Exactly. That got the attention. Matt, before I get started, I want to give you an opportunity to update us a little bit about the state of AI from a company that has evolved from ground zero over the last few years from ChatGPT to the Astra moment. If you can just walk us through the evolution and where we are in that journey.

Sure. Can you guys hear me? How about now? Working? Okay. All right. Well, first of all, it's great to see everybody. Enjoy your lunch. Atif, thanks for having me. And I would be remiss if I didn't reflect, first of all, that this was 10 years ago, my first conference as a CEO was here at Citi. I became CEO in July 2016, came into Citi. It wasn't the friendliest environment. I mean he had a sell rating on us. I just have to give you s*** one more time. It's the 10-year anniversary, why not? No. But Marvell was in a very different place.

But I think to your -- I'm bringing this up to your question, which is our pivot to the data center began in 2016. Basically, back then, we were a consumer company, 9% of our revenue in our fiscal '17 was from data center. And most of that was just enterprise. It was really enterprise servers and storage. But that's the pivot we made was to focus on the data center and data center technologies and data infrastructure technologies. So that's been our guiding principle actually for the last decade.

And we went through, I think, great cycles and growth in enterprise, great cycles in carrier and 5G. And then we've had a very strong data center story for the last 5 or 6 years. Just to put it in perspective, in calendar '23, we did about $2.2 billion in data center revenue. And next year, we're looking at $15 billion, $16 billion, just to give you a sense. So the business has really inflected.

And while ChatGPT and the rise of AI has been just an enormous driver and the driver of semi TAM, we were already positioned there because this was already our strategy going back from almost a decade ago. So I know now it's the place to be and everybody has figured out who's in semis that, wow, I better be in data center and I better be in AI. But if you just figured that out over the last couple of years, you're -- it's going to take you a long time, is my view.

I mean this has been a company we built brick by brick, year-by-year, M&As, divestitures, huge organic investment. And now we're sitting here, I think, with one of the best. My view is positioning's relative to the breadth of the products that we offer, the suite of solutions that we have and then really, what we think is a best-in-class financial model in growth rate for the next 4 or 5 years off of the back of a decade of investment already.

Wonderful. To be clear, I do have a buy rating on Marvell now. That was 10 years ago. All right. Matt, we at Citi, look at you guys like the Swiss Army Knife of AI. There's a lot of focus on your compute business and XPU sockets and all that. But fundamentally, we think your networking portfolio is what outshines the peers.

I was at the Hot Chips Conference a couple of weeks ago. The message was networking is the next compute. NVIDIA rolled out 2 more scales: scale in and scale context on top of scale out, scale up and scale across. So clearly, networking continues to benefit from more connectivity.

So my first question is on the scale-up opportunity beyond optics. As you look at the switching layer, where different standards and proprietary approaches like ESUN, UALink, NVLink are all in play. How does Marvell think about its silicon switching opportunity across that landscape?

Yes. No, it's a great question. And we think the -- we see the scale-up opportunity, which we view very much as a combination of the switching platforms, coupled with best-in-class optics, both NPO and then fully integrated CPO, which we offer both of. That's going to be an integrated sale in my view. And it's sort of greenfield at the moment.

Now the backdrop, and I think why we're well positioned is we've spent the last 5 years building out our scale-out switching platform, which is we call Teralynx. And we've basically acquired a company, Innovium, 5 years ago. It had no revenue, but was projected to do about $150 million of revenue. We now said that, that business is on track to do $1 billion plus and over the next years, we'll probably grow even faster.

That fundamental Ethernet architecture we have lends itself very well to Ethernet scale-up networking, which is ESUN, which is the scale-up standard. Even our existing product, our 100T part, which I talked about at Computex, that product already is suitable and applicable to scale up as is. So we've got a whole suite of products coming on ESUN and a road map there.

In addition, we see the market still not completely decided on a standard. So we've also got a robust investment as well in UALink. And I think what's nice and common between the 2 is both leverage our high-performance, best-in-class electrical SerDes technology for copper. And then we also are going to offer SKUs with the optics as well. So kind of a very full suite.

And then finally, with our -- with the investment from NVIDIA and our partnership there, we're also marketing and promoting NVLink with Marvell as a technology partner to enable that as a protocol to enable a lot of network fungibility as well. So a lot of shots on goal for us on scale-up networking. It's brand new.

And today, it's really dominated just by NVLink, but in the next few years, the need to connect more and more GPUs and XPUs together and enable the scale-up opportunity is going to be, I think, a new market and one where Marvell can really make a meaningful impact out the chute.

Great. Matt, there has been a lot of discussion at our conference around the near-packaged optics road map leading to the co-packaged optics. Can you help us understand how you're positioned to benefit from this near-term wave around near-packaged optics before we enter the co-packaged optics volume?

Sure. So a couple of things there. The first is that we've been investing in NPO. It also used to be called OBO, on-board optics. And these types of solutions for at least 5 years since we acquired Inphi. So if you go back to the Inphi acquisition, a lot -- and it's been obviously very, very successful. It was a high multiple at the time, but it turned -- it worked out really well.

One of the key capabilities they brought to Marvell was silicon photonics. Now the way that, that's been used in Marvell to date has been primarily in our DCI products. So in our modules that we sell, both for 100 gig, 400 gig, 800 gig now to 1.6T, that all uses proprietary Marvell silicon photonics inside these modules.

So we've been in high-volume manufacturing for 10 years. So that same team as a parallel effort has been developing NPO, and we demoed that at OFC for the last 3 years actually. So this isn't something new that we just came up with. This has been demoed and proven and now its time has come. What's happened is along with that, we acquired a company called Celestial AI back in December 2025, which brought us even more integration in terms of CPO technology. So we've integrated those 2 teams together. It's one very, very strong combined engineering team. And together, we're able to show a suite of solutions from NPO to CPO.

Now on top of that, which is going to layer on even more revenue opportunity for us is that in third-party NPO modules where a traditional module manufacturer would be involved, and these are some of the people we already do business with today on scale-out modules like at 800 gig and 1.6T, they're building NPO modules for the hyperscalers.

We participate there with our TIAs and drivers, which is our silicon germanium analog product line. This is significant business for us. I mean we talked about this being a $1 billion business for us already just on analog components. That's really in the near term. And then, Atif, as we ramp into NPO, our content is very, very high in the NPO module ecosystem with TIAs and drivers. So that's another leg of growth.

So when you add all that together, the broadband analog, NPO, CPO and you look at like where we were this year, which is effectively 0 revenue from those. You look into next year, a quarter ago, we said it was going to be 0 to $300 million. This past quarter, I said that was going to be much higher and a big part of our guide up for next year was going to be driven by networking and scale up optics as being one key part of it.

So imagine that number is even greater. So from a velocity standpoint, unbelievable growth. And that's just at the outset, right? So calendar '28, '29, we're going to see a big ramp in NPO with CPO also layering in. So this is not an or. This is going to be an and, and you're going to see simultaneously NPO solutions in the market for some time. You're going to see CPO ramping in.

And I encourage all the investors here to get away from treating this, as sometimes we tend to do, as a binary thing. Well, if there's NPO, then it must mean that CPO is now gone or it was like saying, well, I don't know, copper is just going to keep going, so optical will never exist. I mean they're all going to coexist. Copper has got a great runway as well, right? But you're going to see all of these coexist in the market for several years. And it's a really exciting time because this is fundamentally new TAM for Marvell that we weren't in before.

But now we're very well positioned when you hear about scale-up optics. And of course, now we have the switching as well coming with it. A lot of our competitors don't have that. They may have one piece. And then our expertise on the XPU side, deep design knowledge there, customer partnerships and our ability to up-integrate CPO and NPO with the XPU is also a skill set we bring. So when we go to our customers, we really have the end-to-end, and it's a compelling story.

And at the end of the day, Atif, these are going to be bookended solutions in a lot of cases where you really have to have an understanding of the digital silicon on both sides. And then the optical link, and we're uniquely positioned to enable our customers in this market. And you're already seeing real revenue next year from this. This isn't just a PowerPoint slide of what we might do someday.

Excellent. On the data center interconnect or scale across, you guys -- that market has been more mature and steady in the past, and you've had the leadership position on the DSP with the pluggables. You've been riding the 800G wave. And as we look into the 1.6T transition, competition seems to be coming in as well. How do you feel about your competitive situation at the 1.6T?

Yes. We're really excited about the DCI business. Marvell and Inphi pioneered this business at 100 gig with a very publicized product called COLORZ with Microsoft. We've maintained a very strong position at 400 and 800 gig. And I think we're as well positioned as we've ever been at 1.6T. We were first to market on announcing our 2-nanometer DSPs that go inside the module. The bring up on those has been excellent.

Our silicon photonics platform tracking very well. Customer interest is through the roof. And because of our track record in 10 years of doing this reliably, we have like 15 billion device hours of performance and reliability data we can show with best-in-class performance. So I think given our leadership position on the DSP side, that's going to really help us.

On top of that, the market is going from traditional DCI to what you mentioned, which is scale across. And there's market estimates that, that could 2, 3, 4, 5x the size of the DCI market as scale across really layers in. So for us, it's the same fundamental set of components, but the use cases when you get to 1.6T enable the scale across architecture to happen.

So we have really outsized growth plans right now in DCI. We've got an excellent leader for the business. We're investing not only on the component side, but in manufacturing capacity because we actually make the modules here. And we do sell our DSPs to third party as well. So there's an ecosystem that Marvell DSPs have created with our own products and then our module partners.

But I think the exciting part is the inflection with the scale across use case coming in. But even if you didn't have that, just the DCI business because you get more ASP per generation of DCI module, the number of ports are going up. The DCI use case alone would justify a lot of growth, but I think scale across when it layers in is going to really upsize the market. So more to come on that, but very pumped on that business. Yes.

Great. Going to you, Dan, you are no stranger to semiconductors, GlobalFoundries, Applied Materials. Welcome to Marvell. I have a question around your R&D prioritization. When you look at portfolio of products that Marvell has, and recently, when you look at your operating margin profile, help us understand how you're prioritizing your R&D focus areas and driving towards that 38% to 40% target model?

Yes. I think the -- first and foremost, we see this incredible opportunity that is multifaceted. And the diversification embedded in the portfolio has a bit of uniqueness in terms of the way we're driving the business. So we're going to orient towards growth, and we're going to take this company structurally larger in size, materially larger in size over time, and we'll have more to say about this in a few weeks at the Analyst Day.

Embedded in that is a philosophical approach that Matt takes to how we run the business, the culture that exists. There's a transparent aspect of how we synthesize the most meaningful opportunities that are out there. And in a shared decision-making process, Matt drives discipline from a capital allocation standpoint across those opportunities. So we focus the investments on the most material drivers affecting the company, growth drivers affecting the company, the opportunities that we see that can also yield the best profitability.

So there's an entire rhythm and culture that Matt instituted when he came into the company and seeing it on full display over the last month, you see a bit of the magic as to why we've been able to tap into those incredible growth drivers. And again, we'll have more to say about taking the company structurally larger.

But we also want to grow the company in a very disciplined way. So at a moment in time where lots of things are possible, how you narrow the aperture, focus on the most critical items and do it in a disciplined way and then drive execution with crispness, with precision, with rigor, with discipline makes all the difference in capturing that growth, but doing it in a way where your OpEx will grow roughly half the rate of revenue over this time so that we embed significant operating leverage in the model that as we take

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operating margin standpoint over time.

We're going to exit this year entering the long-term target model for operating margin at 38% to 40%. We will exit next year touching the top end of that range. And in a few weeks, we'll reset what we think the new long-term target is. And so it's all about discipline, orient towards growth, execute well and then grow the company in a profitable way.

Right. Let's talk about supply. It's a never-ending debate around how much supply there is available to you guys and the peers. You've raised your '27, '28 outlook last 2 quarters. How much of that is demand upsiding versus supply unlocking? And can you just walk us through the process for the audience's sake, like what is the process to get more supply these days?

Right. Well, I think on the first part of it, if I just contextualize it for a moment, if I go back a year ago, this month, post earnings, I did a fireside chat after this conference to try to clarify for investors how to think about fiscal '27, which is this year, and fiscal '28. And at that time, I said basically, look, I think we can do $9.5 billion this year in fiscal '27. There's not going to be a revenue hole. We haven't lost any business, and things are looking good.

And then in fiscal '28, which would be calendar '27, I signaled I thought we could do $11 billion plus, let's call it. So that's $20 billion over that 2-year period. You fast forward to today, and we've now said we can do $12 billion this year and $18 billion next year. So that's $30 billion. So in one year, we've basically gone from $20 billion over a 2-year period to $30 billion.

So our supply chain has been able to flex up 50%, right, over that time on a graduated basis. I think most of that has come -- so it's all in conjunction, Atif, but certainly, the demand environment has gotten better, right? CapEx floated up a lot versus what we thought a year ago. That's helped. I think the take-up rate and our success rate on our new products has been very, very strong. Our execution success has been great. We're getting to production 90-plus percent of the time on first pass silicon on advanced node. So that's really helped us on time to market.

I think we also had some pretty conservative plugs in for kind of market share and our growth and probably called the ball way too low on connectivity. And looking back a year later, haven't missed a beat, have executed through our product cycles, both on 800 gig, which remains very strong and 1.6T. So any of those concerns that were out there, I think were overblown. That's gone very, very well.

We've said that, that business this year is growing like 70% plus, right? And that growth rate is going to roll over into next year as well, high growth. We haven't specified exactly. But clearly, the raise up to $18 billion, you could assume connectivity and interconnect keeps ripping higher. So all that's been great, right? So supply has continued to perform.

And look, I think how you do it, and we had to learn this lesson a little bit the hard way 5 years ago, is the first 5 years at Marvell, we were -- the company was set up to do smaller packages, was more tactical in nature. We would have 3 or 4 suppliers for everything. We would kind of beat people up against each other. We used a very traditional model. And once we acquired Avera and then Inphi and Innovium, we got these very complex reticle-sized products that required deep relationships in the supply chain in terms of substrates and back-end capacity that wasn't that fungible. I mean you basically had to pick your partners.

And during that time, we promoted Chris Koopmans to Chief Operating Officer, and he and I basically went off and struck a bunch of deals, long-term deals with all of our supply chain, not just TSMC, our sole-source vendor on the fab side, but also on the substrate side, back-end capacity, et cetera. And that worked really well. I mean that's basically what's gotten us from, call it, $4.3 billion run rate when we bought Inphi. That was the run rate the quarter we closed, right, in 2021.

Now here we are in 2026, and we're looking at $12 billion in revenue, right? So we've almost tripled the size of the company. If you roll into the next year, then it's obviously, it's up 3.5, getting close to 4x. So that -- those investments we made helped. We put in CapEx at the time. We did prepays, but we told our story.

I think that's the biggest thing, actually, is suppliers are a lot like you guys, okay? At the end of the day, they want to figure out who's the management, where is this company actually going? What end markets are they in? Are they credible? Do they have a good plan? And you can go to a lot of meetings in the Asian supply chain, and they'll be very polite and you'll get a head nod and they'll say, thank you very much. And if they don't believe your story, you're not going to get what you need.

In our case, we have a very compelling story that we've been telling consistently for 5 years. So they trust us. We've gone to fewer suppliers, more deep relationships, that's appreciated. We've upped the CapEx and the prepays to represent now the scale of the future opportunity 5 years later. So we're re-upping some of those.

But I just got back from an entire week in Asia visiting my supply chain. New vendors, existing suppliers and just kind of reaffirming where we're going. And so that has really helped that combination of credibility, trust, compelling road map and then capital you put in, which is really putting skin in the game, right? At the end of the day, they just want to see you're committed and you have conviction. So I think we feel very good about our prospects.

We got an Investor Day coming up on October 6. That's one of the reasons I wanted to do this deep dive with my suppliers is get them on board. I mean, I gave them a preview. Hey, here's where we're going. Are you all in with me and Marvell or not? And all I got last week was a resounding yes, and we're going to be there with you with whatever you need, and let's plan it out. Let's plan it out.

So yes, there's going to be challenges. Things are tight. It's been constrained since the pandemic. It's very acute right now in some areas. I'm not making any light of this. I'm not saying this is easy. But you have to have had a system and a mechanism and a set of relationships that was 5 years ago, if you're going to get what you need.

If you just popped out of nowhere and you said, hey, I got a data center part now, and I think I need like billions of dollars of revenue like next year, I think people are going to look at you like, where were you 5 years ago? I mean you can't get some of the substrate capacity until the end of the decade if you haven't started. How are you going to get it if you didn't start 5 years ago?

So that's the advantage we have of having a very single-threaded strategy in data center and data infrastructures. This is all we do. We don't have some consumer side bet that is distracting us and keeping our -- keeping us defocused. We're fortunate in a way that our concentrated effort on data center and now AI has led us to an ability to tell a very clean story to our suppliers.

Wonderful. Looks like you're getting your fair allocation on the wafer side. Matt, you guys have a seat with the hyperscalers. You engage with 3 big ones and then you're working with others on XPU attach sockets. So this topic around LPS, land, power and shell, is increasingly coming up with clients and your peers are highlighting that this could be some sort of a bottleneck beyond silicon supply chain.

So when you're talking to your hyperscaler customers, what are you hearing from them around concerns around whether it's regulatory approval or the timing of availability around land, power and shell?

Yes. I'm not sure I have too much new to offer there. I think this has been an ongoing issue and concern, right, as we ramp through this kind of outsized CapEx cycle. To date, you can obviously see the demand side hasn't been curbed by that. I think the other one that's hanging out there, too, that -- I mean, actually, our suppliers seem worried about is the societal pushback, right? Like, hey, is -- are people going to allow some of these data centers to happen because they're worried about it being in their backyard.

So there's a bunch of constraints in the system, which in a way, I actually think is not the worst thing because I think in a way, I mean, look at the growth that companies like Marvell are experiencing with all these constraints. And I've been around the block long enough in semis to know if you kind of get unfettered access at some point to infinite supply, the industry always overdoes it.

And so I actually think there's some degree of healthiness on the AI infrastructure build, which is very durable in nature, very long term in terms of its planning cycle and seems to have a lot of legs and is delivering a lot of growth despite the LPS constraints, the pushback regulatory society-wise, and then just like memory and advanced node wafers, and you can go through all the constraints.

But look, I mean, companies that are able to execute are managing through a lot of chaos. And the same thing happened in the pandemic, different framework, but some companies just were completely upside down on their supply chains and they were extended and they didn't know what to do. And it was like all these semi cycles, you emerge either a lot stronger or a lot weaker. There's kind of no in between. And I think we are proving to be one of the resilient companies through these turbulent times. But so far, we're getting what we need, I think, to deliver to the commitments we made.

Dan, coming back to you, this topic of AI financing comes up a lot with clients. You've committed $1 billion in fiscal '27 supplier prepayments, which kind of makes sense. But when you're looking at your peers, some of your peers that are forming partnerships and consortiums with financiers on funding some of these data centers. Would love to get your thoughts on the risk profile of that as well as where is Marvell positioned? Are you also looking at those kind of engagements?

Yes. So every company will do what they feel is right to facilitate the growth for their company. I would say our approach is going to be focused on bringing industry-leading technology to market, differentiating ourselves with that technology and enabling customer success. That's what we've been doing for a very long time. That's what we're going to continue to do: solve your customers' highest value problems, drive their success, drive our success.

We're going to stay focused on being a technology leader and a key enabler of our customers. And I won't comment on what other companies are doing in risk profile. I just know that we're focused on being the industry's best enabler of our customers in those highest value sockets.

Yes. And I'd just make one broad statement that I do think it does point just broadly that the amount of kind of the breadth of investment that's now happening has gone from being kind of very concentrated to much broader in nature because at the end of the day, a lot of smart people are looking at the economics and saying this makes sense.

And so I think it's going to be good to see this outside capital at the end of the day come in to really make sure that the financing was there and the capitalization is there to really enable the AI returns to happen. So as Dan said, we're really not in that. I mean we're kind of just heads down focused on doing what we do really well as a best-in-class semi company. But I think it's -- the positive for me is that there's a lot of legs behind the capital commitments coming in for the AI build, and they broadened.

All right. On the NVIDIA NVLink Fusion relationship with NVIDIA as both an investor and a partner via NVLink Fusion, how do you manage the tension between supporting NVIDIA's ecosystem and winning your own custom XPU sockets and the networking?

Yes. I would say it's the opposite of tension. I think what -- first of all, it's the partnership that we struck with them is, as you know, is far reaching. NVLink Fusion kind of being one of the core pillars, which we can utilize as a partner of theirs to really enable like network fungibility ultimately and drive that standard more broadly because it is the most widely adopted scale-up interface in the world.

Now that being -- and I think -- but that being said, we're going to go where our customers want to go. And so we have multiple shots on goal right now. We have a ground-up UAL investment. We talked about that earlier on scale-up switching. We have ESUN, which gets a lot of leverage from our scale out. And then we have NVLink.

So from an NVIDIA point of view, they know we're working together to promote -- we promote their solutions. We actually -- and we're unique in that we can offer it at multiple layers of the stack. But at the end of the day, everyone understands customers are going to want to do what they're going to want to do. We just need to make a compelling case for each of them and then let them choose.

And I think it's money well spent right now to have multiple shots on goal here. And that team ultimately is pretty common. There's a lot of common investment, especially on the SerDes. So at some point, if one standard wins or we need to move it harder one way or the other, we've got the scale of the engineering team that can really go execute. But right now, we're very comfortable with the shots on goal we have and the partnership

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as well. We really appreciate all their support.

But as you saw from the announcement, it's broad reaching. There's DSPs, there's a collaboration on optics. There's a project on AI-RAN. There's a number of things that we're doing with them that were a continuation of what we were already working on, but this definitely memorialized the types of opportunities we have. So it's very strategic in nature and long term. And so we'll see how that goes. But we're actively promoting NVLink Fusion as a key standard in the industry and trying to help enable their vision.

Awesome. Let's talk about the custom ASIC or the XPU business. Another theme that came out of the Hot Chips Conference was this theme around disaggregation that the industry is moving towards prefill, decode and many different types of chips around SRAM, different memory architectures to improve the flow of data, particularly in the agentic AI era.

So you guys, the knock on your stock a couple of years ago was that you had too much concentration risk with one hyperscaler that you were ramping on this XPU socket and waiting for the other one to kind of layer on. But most excitingly, you guys have announced another partnership with Google recently in the $120 billion warrant-like revenue structure.

My question is really around that engagement, the timing of the engagement. When should we expect revenues to kind of flow from that deal that you have signed with Google?

Yes. No, great question. So a couple of thoughts. The first is you're right. When we started on this custom journey, you got to start from somewhere, okay? And we didn't have much. I mean, we basically got the core of the custom capability from Avera, which was a spinout of GlobalFoundries. It was the custom ASIC team that ultimately had come from IBM, right? It was IBM's custom ASIC team.

They've been doing this for 30 years, taped out over 1,000 products, a very experienced capable team, but they were in GlobalFoundries, where the road map on advanced node had been curtailed and so they needed a home and so they ended up at Marvell. So the whole run rate business of all of Avera was like $300 million when we bought it and very, very little to no data center revenue. But I knew and we knew that, that market was coming because we were getting asked by all these customers to do custom for them, and we didn't have a team that could do it.

So we started from nowhere. We pretty quickly got it to $1.5 billion, but it was really concentrated in like one big customer, to your point, with another one coming. But we said also we got more design wins, right? But that wasn't really making investors very happy. It was like, hey, this is just too much and it's the curse of the mega socket, right? I mean you want to win it. It's so exciting. It's so great and then you win it and you realize you're over your skis, you're concentrated and everybody runs for the hills on the multiple.

But in 2025, and I'll come to the relationship with Google in a moment. But in June 2025, we tried to assuage some of this concern, and we did a full-blown custom AI silicon event where we showed like, look, we got like 18 -- it's now 20-plus design wins across all the 4 U.S. hyperscalers of both XPU and what we call XPU attach. And then at that time, I think there was a view that -- and we called that as about a $15 billion market in 2028, which, again, people sort of said, well, that looks kind of small, which I think that looks pretty big.

I mean when I started Marvell, the whole TAM of all of Marvell was like $8 billion, right? So this XPU attach actually is very meaningful. And we talked about all the technologies we have for it in terms of our die-to-die, high-speed I/O, custom SRAM, right? We had a whole presentation on that. Mark Kuemerle stood up, detailed it because that was a whole IBM thing that came over with that acquisition that we still kept the team around on. It's used in high-performance networking chips plus high-performance AI chips. So laid out all the technology.

And I think there's still a fair degree of skepticism. But if you look at what we just filed on with the SEC, the 8-K with the warrant with Google, that is really an XPU attach relationship, and it covers all the same product categories actually we talked about a year ago, NICs, CXL, storage controllers, near memory compute, AI acceleration, I mean, a suite of these. And if you look at the total scale of the potential of the warrant at max performance, it's pretty stunning, right, what it could do.

Now there's a lot of questions about it and investors trying to model where does it layer in and how much do I put in? And we have a great opportunity at our Investor Day coming up to contextualize that in terms of where our custom business is going. But the way you guys should think about it is there's no one trick pony in there. This is going to be a very diversified business within Marvell, I'm talking about the custom business, that's a number of sockets across all the big hyperscale customers that will be very diversified and very rich in Marvell IP, especially the XPU attach side because in many cases on those products, in general, we get asked to do a chip for them, but it's a build to spec.

A lot of cases, it's actually Marvell doing the whole chip, but it's got the customer name on it because they don't either have the team size to go complete the project on their own or they just don't have the people to do it that have the skill set. So it will be a mixture of XPU, XPU attach, but it's going to be -- so we'll contextualize -- and we'll contextualize a range of outcomes actually because I think no one knows exactly how to call the ball with precision in 2030 on anything. So I think some ranges are important.

But the key takeaway should be that XPU attach was not a, hey, look over here strategy from the Investor Day, it was -- we think this is a meaningful new market and a market that Marvell is actually pioneering and has a leadership position in. So somebody asked us earlier today, well, can other people do these XPU attaches and how does the competitive landscape work? And we talked about that, which we feel very good about because this again, is Marvell homegrown IP. A lot of it going all the way back to the acquisitions we did like Cavium, like Inphi, like Innovium.

But I did jokingly say, at some point, I think a whole bunch of companies are going to come out with their XPU attach strategy, right? And all of a sudden, there's this market now, and here's what we're doing, and here's how we're going to go take Marvell's business. But I think we were ahead of the curve on that one, which has served us well because while other people thought it was a distraction, look at the magnitude with one account. With one account, and we're working across the whole spectrum of customers, of which we don't have warrants with 8-Ks on them. So you don't know how big the other ones are. But you should assume that this is a very big category for us.

And so between XPU, XPU attach, it's a meaningful opportunity. But I don't want anyone here also to get -- go back to the future where we were in '24 and '25 and get hung up that there's one big socket we got to go obsess over and also think that custom is the only game in town. I mean Marvell as a company is driven by its connectivity technology. That's our core. That's what we're the market leader in. We are the category leader in interconnect in connectivity. That's the bulk of our revenue.

I showed this at Computex. That's a differentiator of Marvell. We have compute and we have custom, and that's a great base piece of our business. It's going to grow really fast. But that's all going to be led on the back of our leadership in I/O and connectivity. And that's what -- that's the delivery mechanism, right, for our large digital silicon chips.

It's -- the other day, you were joking around about, hey, it was so crazy. Marvell hired an analog guy to go run Marvell. Well, it turns out back to the future, all the key proprietary technologies we have and why we win is in the analog mixed signal domain and DSP. That's where the value is, and that's where Marvell is driving. And now it's moving, by the way, last comment from electrical SerDes and electrical I/O and copper interconnect to optical.

And so when you go -- I'm now merging us over to this other discussion of connectivity. But when you go to the optical domain and you then look at XPUs of the future, XPU attach of the future, switching in the future, having that core capability in CPO and NPO and the ability to integrate, I think, is going to be the key to the kingdom for the next 20 years. So we can do both simultaneously.

But again, I think there's very few companies that can lead in the electrical domain on connectivity and I/O and lead in the optical domain or at least do both of those very well simultaneously. And again, that is going to be the key to the kingdom on all these larger digital silicon chips that sort of get a lot of excitement and news. I think at the end of the day, it always comes down to the I/O, and that's what we're really good at.

Great. No, I got to give you guys credit on the XPU attach term you guys came up with first and definitely delivering there. We'll stay tuned for the Investor Day. But for now, you guys have said that you're on track to get to that $10 billion to $11 billion custom ASIC fiscal '29 number and it's custom sales are doubling next year.

It's on a good track. We've been very consistent and kind of programmatic and prescriptive on this one because I think in the past, some of the custom expectations would run a little wild. Sometimes you get third-party data, somebody posts on X. There's some tracker and the correlations. And I totally get it, there's a need to kind of try to contextualize the market. And I think our approach we kind of flipped at the end of last year was we're just kind of trying to tell you what we're going to go do. And then we're just going to go do that and give you a number.

And I think for the Investor Day, we probably need to give a range for the future just because I think there is a range of outcomes. But even the base case would be very compelling. And certainly, compared to a year ago at our Custom AI Day or even earlier 2 years ago at our broader AI event in New York, I think custom sort of only floated up. But the rest of the business has ripped also beyond, I think, what we had even thought was possible.

Great. Dan, as semiconductor investors, we get fixated on gross margins. And the nature of the XPU custom business is because you guys share the IP with your customers is intrinsically lower gross margins. So my question is really around navigating. Is there a structural floor to the gross margins for custom business where you walk away from certain sorts of sockets? And how you guys are kind of optimizing the portfolio around the gross margins?

Yes. So there's multiple parts to the business. As Matt keeps saying, it's a multi-pronged strategy, not geared on one particular socket. We've got a great merchant business with a clear leadership position with an enviable market position and a margin structure that reflects that. As we think about custom, not all custom opportunities are built the same in an XPU attach. Think of it as semi-custom. Think of it a lot of it as Marvell IP that's just customized in several ways for the environment that, that chip goes into that has a very different margin profile than maybe, say, an XPU opportunity.

So you've got different parts of the business. As custom grows, as the mix of custom grows, you will see incremental step down from a gross margin standpoint. But the operating margin opportunity will grow. You see that in the current environment. You see a slight tick down as we're ramping custom into the back half of the year, slight tick down from a gross margin standpoint.

But in the most recent quarter, you see a 180 basis point improvement in operating margin. You're going to see sequential increase in operating margin in Q3 and again in Q4, getting us to the low end of our long-term target range of 38% to 40%. At a similar range of gross margin as we window into the next year, calendar '27, fiscal '28, you're going to see that operating margin walk from touching the low end of the 38% to 40% range to touching the high end of the 38% to 40% range.

And we'll have more to say about this as we get into the Analyst Day and give the ranges of outcomes as it relates to merchant, as it relates to custom, the interplay and what it ultimately means at a structurally larger scale for how the margin profiles, particularly from an operating margin standpoint over that window to drive EPS growth in a very attractive way. We'll have more to say about that.

But clearly, the mix will play out, and we've got multiple aspects of the business, both very attractive merchant business as well as an attractive custom business that is going to produce a very nice EPS trajectory over time.

And maybe just to add, that was -- I think Dan said almost all of it. But just to add for some investors that are new to the story, the custom business, and we actually -- I mean, we articulated this from day 1 when we acquired Avera is while the custom business carries a lower gross margin, it's got the ability to deliver commensurate operating margins with the overall company.

And then you might say, well, how is that possible given the differential? And again, so for people new to the story, the way it works and how we account for it is a custom program, you're getting customer funding to do it because it's for them. So they're going to pay you a bunch of money to basically go in and make this custom chip for them. And in some cases, the NRE is very meaningful because the development costs are high.

And so when you do that, the way we treat it from an accounting standpoint is an offset or contra R&D. So in the end, even if the product is carrying a lower gross margin, you get that offset. And so the OM and the flow-through is actually very, very competitive. So that's just part of the dynamic. That's why, as Dan said, as we're ramping with a little bit of margin compression in the second half this year. And it's not a lot. It's not a crazy amount. It's coming down mildly, but we're delivering very strong operating margin leverage through there.

And I would just say for next year, we were -- usually, you get beat up on gross margin questions when it goes down. We were having a meeting today where people are saying, geez, next year, you guys said it would kind of hang in there at the same level as the exit rate, but your custom business is doubling next year, but you're not doubling as a company. So how is that possible? And I think that's a positive story. I mean, we're managing it is what I would tell you.

We have great -- we have margin-rich opportunities within the rest of the business, right, that's kicking in. And remember also when we were -- before we were saying you probably assume margins come down a little bit, gross margins next year, a quarter or 2 ago, that's when Marvell revenue was like $13.5 billion next year with custom about the same as it is today, right? So as we've raised from $13.5 billion to $18 billion, most of that raise has come from interconnect and switching and storage and some from custom, some.

But custom has been pretty consistent in terms of the double. So that's helping us, right? If you -- so -- and I think the key point I want to make sure everyone knows here is we're managing the business. I mean we're not just going to print the results that just show up. I mean we're going to also manage the business. And that means cost reduction, mix, allocation, price, the whole 9 yards, right, to make sure that we're managing a competitive gross margin for the company despite mix under the hood.

Now if custom just goes and becomes half our business someday, of course, the company gross margin is going to come down. But the flow-through on OM and EPS is going to be so massive. It will be worth that for every investor, okay? But I'm saying even in the short term, next year, given the mix we're looking at today, and that could always change if things bias up or down, we're actually able to manage with a lot of growth in custom an operating -- a gross margin flattish with OM expansion. So not a bad story, at least heading into next year, and we'll see how the year plays out.

Dan, on the capital allocation front, Marvell historically has been acquisitive, Cavium, Inphi, Celestial AI, more of a tuck-in type acquisition recently. So when you look at your priorities of dividend versus share purchase, debt serving (sic) [ debt servicing ] and also M&A, and you guys have a tremendous IP portfolio. Like how do you rank order where we go from here?

Yes. As I think about capital allocation, I typically think of it as 3 priorities. First, we're going to orient towards growth. We're going to invest in innovation. We talk about a healthy pipeline from an R&D standpoint, organic growth. We'll complement it from time to time, as you point out, from an inorganic growth standpoint. But pillar 1 of capital allocation is grow the company.

Second, strong and healthy balance sheet, flexibility in an environment like this is important. Third, return excess cash to shareholders, and you see that balanced between both dividends and share repurchase. In an environment like this, where you're seeing a major inflection shaping the end markets and the end markets are going structurally larger as part of growing the company, we want to make sure we have and preserve the flexibility to put order in the supply chain and retire those key pinch points of constraints before they materialize and be a rate limiter of growth.

So there's another element in terms of growing the company in an environment like this. We work deeply with our supply chain. We've got a great ops team, supply chain team and a good rhythm around this where we're looking out on the horizon and making sure capital is deployed in a way so that it facilitates the incredible opportunities we see on the high line -- on the horizon. Grow the company, strong flexible balance sheet, be disciplined capital allocators to investors with excess cash.

Awesome. One last question for Matt. Matt, as you look beyond fiscal '29, once the current wave of XPU and XPU attach programs matures, what's the next multibillion-dollar product category Marvell is building towards or we're underappreciating?

Yes. I think the biggest one is going to be -- and I'd say this like in totality is the scale-up opportunity. I think if you look at the silicon switching TAM and then you look at the optics attach, right, at some point, you're looking at optics attach around the switch that's commensurate, I think, to the ASP of the switch. And then if you can bookend the solution, then you're putting that same amount of optics content on the XPU, GPU side. So it's quite meaningful depending on where it biases upwards to.

But that whole area, which is in the higher -- the in scale up and then also higher layer networking and scale out, again, that's a business we don't talk about as much. We're growing into that. But both of those in total, I think switching plus optics is going to be very big. And I think when you look at the whole franchise, and then, of course, you've got on the scale-up, both UAL and ESUN. So we'll see how that plays out in the mix. But I think that one is a very large future TAM where we're investing very heavily.

And I think when we look back, that will end up being one of the big additional growth engines for Marvell. But even the existing businesses we're in, like I told you, like DCI is going to scale across, right? That's got a dynamic that's going to crank the TAM up. On the traditional even interconnect business, right, as we go from -- on scale out, right, which is our biggest business and you go from 800 gig to 1.6T to 3.2T, you're getting more ASP per generation. And the content, the attach rate of optics per GPU and XPU is going up significantly from generation to generation.

And the whole industry has been shooting behind the 8 ball on transceiver shipments. You can see this, right? Transceiver shipments keep floating up dramatically because I think there was not a good understanding of what those attach rates would look like. I think also CapEx has floated up. There's a bunch of reasons. But if I look out over the next few years, this interconnect story for us on traditional optical DSPs, TIAs and drivers into the module ecosystem, that's going to have a very strong year in calendar '28 and '29.

And as you have product transitions, like I said, into 3.2T and the attach rate keeps going up, that's got to -- I mean, that should continue for some time. So don't count out the existing businesses growing at 50% a year plus off a pretty big base. But you're right on layering in new things, I think the switching plus optics combination on a 3-, 4-, 5-year view out and kind of where a big meaningful chunk of revenue could come from that we don't have today is I think that's an area that's very exciting for us and right in our wheelhouse.

Awesome. We'll wrap it up. Matt and Dan, thank you for coming to the Citi conference.

Yes. Thank you. Thanks, everybody.

Good afternoon, and welcome to Marvell Technology Inc. Second Quarter of Fiscal Year 2027 Earnings Conference Call. [Operator Instructions] Please note, this event is being recorded.

I will now turn the conference over to Mr. Ross Seymore, Senior Vice President of Investor Relations. Thank you. You may begin.

Thank you, and good afternoon, everyone. Welcome to Marvell's Second Fiscal Quarter 2027 Earnings Call. Joining me today are Matt Murphy, Marvell's Chairman and CEO; Dan Durn, CFO; Chris Koopmans, President and COO; and Sandeep Bharathi, President of our Data Center Group. Let me remind everyone that certain comments today -- made today include forward-looking statements, which are subject to significant risks and uncertainties that could cause our actual results to differ materially from management's current expectations.

Please review the cautionary statements and risk factors contained in our earnings press release, which we filed with the SEC today and posted on our website as well as our most recent 8-K, 10-K, 10-Q and other documents that we file from time to time with the SEC. We do not intend to update our forward-looking statements. During our call today, we will refer to certain non-GAAP financial measures. A reconciliation between our GAAP and non-GAAP financial measures is available in our earnings press release.

Let me now turn the call over to Matt for his comments on the quarter. Matt?

Thanks, Ross, and good afternoon, everyone. Before I discuss our results and outlook, I want to briefly highlight 2 management transitions that occurred during our last quarter. First, Willem Meintjes stepped down as Marvell's CFO in mid-June. I deeply appreciate Willem's steady hand, leadership and tireless commitment to transforming Marvell over his decade with the company, and I greatly respect his desire to spend more time with his family. To ensure a seamless transition, we simultaneously welcome Dan Durn as our new CFO. Dan brings more than 3 decades of experience in senior finance roles across semiconductor and enterprise technology company.

And having most recently served on Marvell's Board of Directors, Dan comes into the role with a deep understanding of our business and strategy as well as a unique appreciation for the significant growth opportunities at Marvell ahead. Second, in July, we began a transition in our Investor Relations leadership. After 8 years with Marvell, Ashish Saran will retire from the company in April 2027. The I want to personally thank Ashish for his leadership, partnership and countless contributions to Marvell. I also appreciate the thoughtfulness and care he has brought to planning this transition, including helping us identify the right successor.

On that front, I'm very pleased to welcome Ross Seymore, who comes to us from Deutsche Bank, where he covered the semiconductor industry for more than 25 years. A warm welcome to you, Dan and Ross. Now let me move on to our results and outlook. For the second quarter of fiscal 2027, Marvell delivered record revenue of $2.739 billion, reflecting 13% sequential and 37% year-over-year growth. Revenue and non-GAAP earnings per share of $0.94 both exceeded the midpoint of guidance. On our last earnings call, we increased our sequential revenue growth expectation for the third and fourth quarters of this fiscal year to double-digit percentage growth, up from our prior outlook of high single-digit growth.

Since then, our outlook has continued to strengthen, and we now expect revenue growth to further accelerate in the second half. The strength is reflected in our guidance for the third quarter of fiscal 2027 where we expect total company revenue of $3.15 billion at the midpoint, representing growth of 15% sequentially and more than 50% year-over-year. We expect growth to further accelerate in the fourth quarter, both sequentially and year-over-year. As a result, we now expect overall Marvell revenue in fiscal 2027 to grow approximately 45% year-over-year to roughly $12 billion, up from our prior outlook of approximately $11.5 billion just 1 quarter ago.

The increase in our revenue outlook continues to be driven by our Data Center business, which we now expect to grow by approximately 60% this fiscal year, up from our prior expectation of approximately 50%. Importantly, this growth remains broad-based. Interconnect continues to lead the way, while our custom business is expected to ramp significantly in the second half. For our communications and other end markets, the trajectory remains largely as expected. Despite typical quarter-to-quarter lumpiness in these businesses, we currently expect fiscal 2027 growth to approach our 10% target.

Looking ahead to fiscal 2028, aggregate demand continues to accelerate, and our operations team is doing an outstanding job securing additional supply despite pervasive industry-wide constraints. As a result, we now expect Marvell's Data Center revenue to grow more than 60% year-over-year in fiscal 2028, driven by strong growth across all of our key data center businesses. This includes custom more than doubling as we indicated last quarter. We look forward to providing a deeper dive into the specific drivers of our longer-term growth at our Investor Day in New York City on October 6, but the key takeaway for today is clear.

The strength of our data center business continues to exceed our prior expectations. Putting it all together, we now expect fiscal 2028 revenue of approximately $18 billion, up $1.5 billion from the $16.5 billion outlook we provided just 1 quarter ago. And importantly, even as our revenue base becomes significantly larger, our growth rate is accelerating. We now expect fiscal 2028 revenue to grow approximately 50% year-over-year compared with approximately 45% in our prior outlook.

With that, let me provide color on our current business, beginning with Data Center. In our Data Center end market, we delivered record second quarter revenue of $2.17 billion, representing 18% sequential growth and 46% year-over-year growth. Both sequential and year-over-year growth accelerated from the first fiscal quarter when Data Center revenue increased 11% sequentially and 27% year-over-year.

Now looking ahead to the third fiscal quarter, we expect this acceleration to continue with data center revenue forecasted to grow more than 20% sequentially and roughly 75% year-over-year. The drivers of this growth remain very broad-based as AI demand for our products continues to rise. We are seeing strong tailwinds across each of our data center businesses, including interconnect, switching and custom.

Connectivity continues to be a critical enabler of AI performance driven by robust demand for both our interconnect and switching products. Thus far, the largest driver of growth for these businesses has been for scale-out applications. Here, Marvell's market-leading franchises in optical DSPs, switching and broadband analog components continue to see significant demand. On the [indiscernible] DSP side, 800 gig demand remains strong, while our [indiscernible] business is ramping rapidly, a trend we expect to accelerate further in fiscal 2028. Within scale-out switching, our business remains on track to more than double this year driven by a strong ramp in our 51.2 T products across a broadening array of customers. And within broadband analog, demand for our industry-leading TIAs and drivers continues to exceed expectations.

Now moving beyond scale out, we expect this connectivity strength to broaden as hyperscalers build significantly larger AI clusters that increasingly span multiple data centers. As we have discussed on prior calls, aggregate bandwidth requirements for these scale across networks are projected to be more than 10x greater than those of current front-end DI Networks. Marvell is ideally positioned to address this opportunity through our leadership in coherent enabled DSP -- coherent DSP enabled 1.6 T ZR and ZR+ DCI modules.

Finally, we continue to expect the adoption of scale-up networking and AI infrastructure to create a massive new TAM for Marvell. Scale-up domains are expected to become significantly larger, requiring high bandwidth interconnects closely coupled with high rates low-latency switches. Now while customers are initially deploying copper interconnect for scale-up networking, as cluster sizes grow, the reach and bandwidth limitations of copper are increasingly driving customers towards optical interconnects as well as purpose-built UALink, ESUN and NVLink scale-up switches. As a result, we are investing aggressively to lead the industry in next-generation scale of optical interconnect and switching technologies.

On the interconnect side, pluggable modules remain the primary form factor for scale-out networks, and we do not expect that to change. However, the significantly higher bandwidth density required by scale up networks is best served by bringing optics much closer to XPUs and switches. While the transition and scale-up networks from copper to optics is expected to take several years with both technologies coexisting, customers are aggressively planning scale-up optics deployment starting as early as next year.

Given how early we are in this transition, customers are evaluating a broad range of potential solutions with multiple technologies under consideration, including NPO and CPO packaging options, with both leveraging advanced silicon photonics as well as 3 different modulator technologies, MZM, EAM and MRM. Each of these choices has different considerations around cost, power and technology maturity. Importantly, given the breadth of our optical portfolio across modulation technologies fully supported by our broadband analog TIAs and drivers, Marvell is uniquely positioned to help customers move towards the optical scale of architecture that best meets their needs.

The full spectrum of Marvell developed solutions is reflected in accelerating design activity with a broad set of customers. In addition to our ongoing success in CPO, we are also seeing a strong adoption of our NPO solutions at multiple customers. As a result, our fiscal 2028 revenue outlook for scale-up optics has increased meaningfully compared to prior expectations, positioning Marvell to be one of the largest enabler of NPO in AI infrastructure.

Moving to scale-up switching, we are seeing similar momentum. Marvell is uniquely positioned to support all 3 purpose-built scale-up protocols through our internally developed UAL and ESUN switches as well as our partnership with NVIDIA around NVLink Fusion. Our scale up switches leverage decades of experience developing large reticle size switch silicon combined with our in-house best-in-class high-performance SerDes technology. the close coupling of optics and switching in scale-up networks provides another important differentiator for Marvell, given our market-leading positions in both technologies.

This allows us to deliver highly optimized scale-up solutions designed to provide customers with exceptional performance and reliability while accelerating time to market. As a result, we are engaged with in multiple deep discussions with Tier 1 customers across our scale-up switch portfolio, with each engagement representing a multibillion-dollar lifetime revenue opportunity given the expected size of the scale-up TAM. Taken together, we are extremely excited about the continued acceleration and broadening of networking demand as AI architectures require ever-increasing performance across scale out, scale across and scale up domains.

Okay. Now let's turn to the custom business within our data center end market. As I mentioned earlier, we are seeing a significant acceleration in custom demand in the second half of this year. We remain confident that this business will more than double year-over-year in fiscal 2028 and accelerate significantly in fiscal 2029. We expect this growth to be driven by both our XPU and XPU attached products. In XPUs, we continue to make strong progress across current and next-generation programs at multiple hyperscalers.

And the XPU attach, we are benefiting from increasing demand for both CXL and custom NIC. Looking further ahead, we expect our custom business to continue to deliver strong revenue growth as we see ongoing robust design activity with hyperscale customers. The most recent example of this momentum is the day we filed last week, disclosing an expanded commercial agreement and associated warrant with a key hyperscaler, one of the largest adopters of custom silicon. The warrant agreement encompasses custom programs already in execution that were awarded to Marvell over the past several years, new design wins and future potential programs.

The warrant structure reflects the scale and long-term potential of the relationship and further aligns common interest as our work together expands, expands a broad range of custom silicon programs, including those that attached to the TPU ecosystem such as AI inference accelerators, storage controllers, network interface controllers, memory interface controllers and near-memory compute. We look forward to continue working closely with this customer to enable the next generation of AI infrastructure.

This expanding range of attached products and the scale of this agreement provides significant validation of the XPU attached category that Marvell has pioneered. We are excited to see both the use cases and attach rates for this category of products continue to broaden. These products are built upon a rich portfolio of Marvell IP and perform specialized functions designed to significantly improve the performance and efficiency of the overall AI data center. This is another strong confirmation of Marvell's leadership in connectivity, compute and memory technologies and the increasingly important role they play in enabling our customers to design more advanced AI infrastructure.

In terms of the impact of the new warrant agreement, revenue from programs covered by the agreement through fiscal 2028 is already reflected in the overall custom revenue target we have previously provided. Looking at fiscal '29 and beyond, this agreement, along with several additional programs gives us even greater confidence in our ability to grow the custom business to a significantly larger scale in that time frame. We look forward to sharing more details on the long-term trajectory of our custom business at our upcoming Investor Day.

Turning to our communications and other end markets. We delivered second quarter revenue of $568 million, down 3% sequentially and up 10% year-over-year. Going forward, we expect to remain -- revenue to remain somewhat lumpy on a quarterly basis, given the mix of businesses in this segment. For the third fiscal quarter, we expect revenue to decline in the low to mid-teens percentage range both sequentially and year-over-year, a solid sequential recovery in the fourth quarter.

To summarize, the momentum across our business remains exceedingly strong. In the near term, that strength is reflected in the significant increases to our outlook. Compared with the expectations we provided just 1 quarter ago, we have increased our fiscal 2027 revenue outlook by approximately $500 million and our fiscal 2028 outlook by approximately $1.5 billion. The center of this higher outlook is our data center business, where growth continues to both accelerate and broaden.

We've increased our forecast for data center revenue growth in fiscal 2027 from our prior expectation of 50% to approximately 60%, and we see potential for further acceleration in fiscal 2028. Within connectivity, the [indiscernible] strength established in areas such as [indiscernible], while also seeing significant growth across broadband analog TIAs and drivers, scale across DCI modules and scale-out switching. Each of these 3 businesses is on or ahead of the trajectory towards the $1 billion annualized revenue run rate we highlighted last quarter.

Scale-up opportunity remains massive and is still largely ahead of us. Marvell is ideally positioned for the transition toward NPO and CPO optical interconnects as well as the adoption of purpose-built scale-up switches. Our custom business, including both XPU and XPU attach is also on a strong growth trajectory, both near term and longer term. The 8-K we filed last week highlights the expanded scope of our relationship with a key hyperscaler and reinforces our confidence in the increasingly important role custom silicon will play in the ongoing AI infrastructure build-out. We look forward to sharing more about the longer-term growth opportunities we see for Marvell at our Investor Day on October 6 in New York City, and we hope to see many of you there.

Now with that, I'll turn the call over to Dan for more details on our recent results and outlook.

Thank you, Matt. Good afternoon, everyone. Before I get into the financials, since this is my first earnings call as Marvell's CFO, I want to spend a moment on 3 things: why I joined Marvell? What I hope to accomplish as CFO? And what I believe that should ultimately mean for our stockholders? First, I joined Marvell because I believe the company has incredible growth potential. I believe Marvell is at a unique inflection point with a broad and diverse set of capabilities that have been intentionally built and are ideally aligned to enable the future of AI infrastructure.

Second, my goal as CFO is to help Marvell scale efficiently and effectively to capture what I expect to be a tremendous opportunity. The company has a strong history of disciplined execution and maintaining that rigor will remain paramount as we strategically allocate capital to fuel our growth.

And third, I expect that growth to translate into significant value creation for our stockholders. I recognize that the growth opportunity ahead must be matched by its quality, and I plan to remain intensely focused on expanding operating margins, growing cash flow and driving attractive stockholder returns.

With that, let me turn to our financial results for the second quarter of fiscal 2027. Revenue was $2.739 billion, growing 37% year-over-year and 13% sequentially. Data Center was our largest end market, contributing 79% of total revenue and growing 46% year-over-year. GAAP gross margin was 53.1%. Non-GAAP gross margin was 58.9%, slightly above the midpoint of our guidance. Moving to operating expenses. GAAP operating expenses were $996 million, including stock-based comp amortization of acquired intangible assets, restructuring costs and acquisition-related costs. Non-GAAP operating expenses were $611 million, slightly above our guidance.

GAAP operating margin was 16.8%, while non-GAAP operating margin was 36.6%. Non-GAAP operating margin expanded 180 basis points year-over-year and 160 basis points sequentially, demonstrating the significant operating leverage in our model. For the second quarter, GAAP earnings per diluted share were $0.33. Non-GAAP earnings per diluted share were $0.94 [indiscernible] above the midpoint of our guidance and up 40% year-over-year.

Now turning to cash flow and the balance sheet. Cash flow from operations was $606 million in the second quarter, down slightly quarter-over-quarter, primarily reflecting the higher capacity prepayments to suppliers in support of Marvell's future growth. Inventory at the end of the second quarter was $1.36 billion, down just slightly from the prior quarter. During the quarter, we purchased $200 million of our common stock through our ongoing capital return program and returned $54 million to stockholders through cash dividends.

At the end of the second quarter, total debt was $4.96 billion, with gross debt-to-EBITDA ratio of 1.32x and net debt-to-EBITDA ratio of 0.27x. Turning to our guidance for the third quarter of fiscal 2027. We are forecasting revenue of $3.15 billion, plus or minus 5%. We expect GAAP gross margin to be between 52.9% and 53.9%. We expect our non-GAAP gross margin to be between 57.5% and 58.5%. Revenue levels and product mix remain key determinants of gross margin in any given quarter with the forecasted acceleration of our custom business creating the sequential headroom in the fiscal third quarter -- the sequential headwind in the fiscal third quarter. We currently expect to maintain gross margin in this range in the fourth fiscal quarter.

We project GAAP operating expense of approximately $1.015 billion in fiscal Q3 and non-GAAP operating expenses of approximately $655 million. We expect GAAP other income and expense, including interest on our debt to be an expense of approximately $86 million. On a non-GAAP basis, we expect other income and expense, including interest on our debt to be an expense of approximately $36 million. We expect a non-GAAP tax rate of 11%, looking ahead, given the significant increase in our revenue and earnings outlook, we expect non-GAAP tax rate of approximately 13% in fiscal 2028.

We expect basic weighted average shares outstanding of approximately $900 million and diluted weighted average shares outstanding of approximately $921 million, both roughly flat with the second quarter. We anticipate GAAP earnings per diluted share of $0.48 to $0.58. We expect non-GAAP earnings per diluted share of $1.05 to $1.15. As we look ahead, we intend to continue investing in our business to drive substantial revenue growth in the years ahead while delivering operating leverage.

For fiscal 2027, we expect non-GAAP operating expenses of approximately $2.55 billion, slightly above our prior expectation of $2.45 billion, reflecting the significantly larger revenue opportunity we now see. Importantly, we expect revenue to continue growing substantially faster than operating expenses. As a result, we expect significant operating leverage with non-GAAP operating margin likely to enter our 38% to 40% long-term target range in Q4 of this fiscal year.

Looking ahead to fiscal 2028. We currently expect non-GAAP operating expenses to grow at roughly half the rate of revenue growth in percentage terms. This reflects continued investment against an expanding opportunity set while yielding continued operating leverage to achieve the upper end of our target non-GAAP operating model of 38% to 40% as we progress through the year. Moving to cash usage. Based on the design wins we've secured and our confidence in the sustained customer demand, we're aggressively securing additional capacity to support our growth. We remain on pace to make approximately $1 billion of capacity prepayments and to suppliers in fiscal 2027.

Consistent with the guidance we provided last quarter. As a reminder, these prepayments will be applied against future material purchases and will be funded through our strong balance sheet, and robust operating cash flow. In parallel, we intend to continue repurchasing shares to manage dilution. Now let me come back to where I started. I joined Marvell because I believe the company has an exceptional opportunity ahead of it.

Having now stepped into the CFO role, I'm even more convinced of the incredible strength of our technology portfolio our deep customer relationships and the substantial long-term growth potential. Our job from here is to execute with discipline as we efficiently scale the company to capture that opportunity. and ensure that our growth translates into expanding margins, strong cash flow and compelling returns for our stockholders. I'm honored to be Marvell's CFO at such an important point in the company's evolution and I look forward to working with Matt and the rest of the team to deliver on the incredible opportunity we see ahead.

With that, ready to start Q&A. Operator, please open the line and announce the instructions.

[Operator Instructions] And our first question Tom O'Malley with Barclays.

Appreciate it, good results. I wanted to ask first on the warrants with Google, obviously, a very robust relationship over a multiyear period of time. I love you could give a color on what's contributing to that revenue? Obviously, you have an inference accelerator, but you talked a lot about XPU attach, which you guys did kind of start the industry standard on in terms of defining. So maybe what XPU attach are you excited about there? And like any sort of color you can give us on the percentage of contribution between the inference accelerator and some of the attach that you're seeing there?

Yes. Great. Thanks, Tom. Good to hear from you. So I think you captured it well. It's a very exciting time for Marvell. This engagement and warrant is significant. You can see that in the scale of the opportunity we have. And as you pointed out, a couple of things I would just validate. The first is it's very broad-based. It's a number of products and product lines, which is very exciting. It includes inference accelerators as you mentioned, also storage controllers, nicks, memory interface controllers, near-memory compute, a whole bunch of different products and you're right, we did define the -- what we call the XPU attach category a couple of years back, and actually we gave quite a detailed view of that in our June 2025 custom silicon event.

And I think all of our projections to date have been under called, meaning that opportunity continues to get more and more significant. So, it's a broad set of products, Tom, that are covered here, and it's very broad-based in terms of where we can engage and where we're going to contribute. And I wouldn't call out any one of them at the moment specifically, but all of them in total, you can see represent -- if you look at the total envelope of the opportunity, it's just massive for Marvell and game changing at the sort of peak performance of what could be achieved now over the next 6, 6.5 years.

And your next question comes from Harlan Sur with JPMorgan.

Welcome to the team, Dan and Ross. Matt, given the Google commercial program you signed back in the July, a $120 billion in cumulative revenue over 6 years, if you hit all of your milestones, right, that puts you if you just annualize it at about $18.5 billion per year in revenues just in Google XPU attached custom ASICs, right. I actually thought that, that would start to show up in fiscal '28 or your calendar '27, but given your guidance, it looks like custom is still going to be around $5 billion to $6 billion in calendar '27.

But maybe some of the big programs associated with this commercial agreement more back-end loaded. So maybe the better question is, the team has previously targeted $10 billion to $11 billion in custom revenues in fiscal '29 or [indiscernible] what does that number look like now based on the Google commercial agreement and some of the new programs associated with the agreement?

Yes. Yes. Great question, Harlan. Thank you. So first, you're right. If you look out to next year, we have comprehended already revenue that would come as part of this warrant in our numbers. Now that's because some of these programs, obviously, are already in flight or have already started, but the programs ahead of us that are either in execution or just starting production, those will contribute much more significantly in fiscal '29 and for next year, all I've said, by the way, is that custom is going to over double. So I haven't capped it. I haven't sized it exactly, but it is going to overdouble next year.

And then -- so then you look out to fiscal '29 where in our last call, I talked about a $10 billion kind of plus number for custom in fiscal '29, which isn't a new number, by the way. That was something that we outlined back in June '25 and even back in April '24, we were talking about custom revenues in the $8 billion to $10 billion range. So we've had a consistent view of what that can look like. This opportunity with this customer greatly -- greatly increases the revenue opportunity for us in custom with some of that potentially starting in '29. I'm not going to size it on the call here today, but you should assume with our Investor Day coming up Harlan, the Marvell team, we always do a thorough job in our investor -- in our analyst/investor days.

And so you should expect a very robust detailed review of how we step through the revenue, not just through fiscal '29, but really out until the end of the decade. And so we're excited to present that to everybody, which will then really help us contextualize the scale of the warrant that we just signed, along with all the other exciting programs we have in custom. So if you don't mind, hold tight on that one, there will be more to come. But clearly, there's a lot of upside bias in those numbers in fiscal '29 and beyond in custom.

Yes, absolutely. Absolutely. Looking forward to it.

Your next question comes from Vivek Arya with Bank of America Securities.

Best wishes to Dan and Ross. Matt, I was hoping you could give us an update on the other large XPU program that you're planning to start in the next year. I think the assumptions there are quite modest for next year, $600 million or $700 million or so and I was hoping you could give us an update on that?

And then what is the opportunity for that program over time? Because that hyperscaler is just getting started on their XPU type like every one of their competitors, I imagine they want to make that XPU program much larger than what it is. So give us maybe an update on what the progress is? Can this be a really meaningful program right for you over time?

Yes. Thanks, Vivek. So yes, we're very encouraged by our custom setup for next year on the double plus. That new program is clearly part of that. And we've been judging that, I think, in a very conservative and practical manner as we've made progress, but we make -- we continue to make progress every quarter, not only on design execution, but also supply commercials and figuring out the sort of the envelope of that opportunity. And that's only gotten better.

So without quantifying it, exactly what I would say is from the last call, if you look at the $1.5 billion raise we're doing for next year, just at a high level, it's broad-based. So some of that is from custom next year. There's also actually get another question on this one, probably the most meaningful part of the next year raise is actually from the scale-up optics switching in other areas, but customs definitely part of it, Vivek.

So even when we size that opportunity, which goes back to a couple of years, we've always said that, that is probably one of Marvell's largest revenue opportunity opportunities we have, and that's still the case. So we're very encouraged by the project -- the prospects of this project. And there'll be more to come, but it certainly is tracking, and we feel very good about next year and that layering in the year after and beyond.

Your next question comes from Aaron Rakers with Wells Fargo.

And welcome Dan and Ross. Maybe kind of building on that last question a little bit. Matt, if you can maybe talk a little bit about what you're architecturally seeing in CXL and how that's evolving, obviously, with the [indiscernible] product and it seems to be a broadening ecosystem around that. And then similar on an architectural perspective, any update on -- you just touched on scale-up optics, the Celestial AI numbers that you've previously outlined, how have those progressed relative to your initial targets?

Sure. So let me start with CXL and then we'll talk about scale-up optics. So with respect to CXL, I mean this investment we made organically over the years has really evolved and is turning out to be a home run for a couple of reasons. As you might recall, this started off as a server-centric traditional compute-centric memory architecture it turns out all that investment we've made is just ideal for memory expansion and inferencing.

And so we're seeing this technology now getting deployed at multiple hyperscalers with varying architectures by the way, in extremely high volumes. One is just the demand of inferencing require it. The other is what we're seeing is as a result of the scarcity that's out there in memory, customers are modifying and adjusting their plans to actually use more of this type of technology. So this has continued to have a strong upward bias. We've actually secured additional design wins in this area in the last couple of quarters. we're going to outline all of that at the Investor Day.

But that opportunity, Aaron, turns out to be massive. And I think it's a case where the pivot we made about 5 years ago where we really put the pedal to the metal on organic internal investment on a number of new technologies. This is one that's really bearing fruit. So very exciting, and you'll -- you should expect to see a very comprehensive memory expansion section in our Investor Day presentation.

On scale-up optics, this is turning out to be, I think, one of the most exciting areas for us. Last quarter, the way we framed it was we had the Celestial AI CPO photonic fabric solution, which for reference, was about $150 million for next year. We had actually said that overall scale-up optics inclusive of that was about $300 million as a category, that includes NPO, by the way. And as I said in my prepared remarks, all of that together, scale-up optics is accelerating even further from the number I gave you last quarter.

And so, a significant driver of the $1.5 billion raise we have for next year, Aaron, is coming from that area. And it's not just a one-trick pony. I think that's the thing I want to stress to you is the CPO is absolutely a key part of it. It will be for next year and certainly the year after. But if I look at the opportunity set that's happening now at a much faster pace in parallel with the CPO programs we have is for NPO.

And in NPO, we participate through a wide variety of design wins we have and partners, some of those are with our broadband analog products in silicon germanium, both TIAs and drivers, which we have a significant market share and content and also on our own organically developed solution, which call our light engine, which we've been in development on for several years, and we've shown it off at OFC for several years.

So all of that is a category, Aaron, is really how we think about the business. Certainly, Celestial and photonic fabric is a key part of that. But what I want to stress is that this is not an or it's an and. And it's a little bit analogous to when people thought, well, there's 800-gig DSPs and then they're going to move to 1.6T and it's all going to just cut over. That's not how this works anymore. Our customers have varying architectures that they're pursuing. They have a number of different solutions that they're going to implement simultaneously.

So we see this as an and, not an or. And I think the magnitude of our scale-up optics opportunity next year is much larger than we thought just a quarter ago. The year after is going to be, I think, way larger than I sort of could have ever comprehended back even last year when we were looking at Celestial. And if you look at the solution we're providing, which is here on my last comment, we are pedal to the metal on our switching road map and coupling those optical solutions with our switches, both UAL and ESUN as well as being able to seamlessly integrate and architect with our customers on the XPU/GPU side.

So all of that together and having the end-to-end length that we're able to provide in the entire solution and the scale in manufacturing, R&D, the diversity of all the technologies we have in terms of packaging, modulator technologies, silicon photonics, a decade of experience there. It's a massive opportunity and Marvell is very uniquely positioned to participate in it. And we couldn't be happier with the Celestial team. They've integrated well. They're a key part of the program. But this thing is going to be a much bigger overall business for Marvell.

Your next question comes from Joe Moore with Morgan Stanley.

On the same lines, can you talk about your progress in copper scale up, and you mentioned the sort of success across the 3 protocols. How do you think about copper scale-up as it transitions to optical? Is it those initial successes foundational to what you do in optical? Or are those sort of 2 separate decisions?

Yes. Thanks, Joe. I think you're talking about from a switching perspective, right, as we implement those electrical/copper solutions and then how does that success translate when we move to optical? So a couple of things. One is, on the Ethernet side, we've seen great traction and success with our Teralinx architecture, which came from the acquisition we did of a company called Innovium back in 2021. That business has a significant head of steam on it. We've expanded the customer base. We're driving significant revenue there, and we've proven to the market that we can deliver these solutions in volume.

So that translates itself, Joe, very seamlessly to scale out. And in fact, we're seeing even at 100 T, our scale-out solutions be applicable to scale up as well. So we're driving that independently of the optics or not. Same thing on UAL. We're aggressively investing in UAL switching that product development is coming along nicely, and we certainly can intercept any electrical or copper-based solution there. What customers really want to see though, and that's why I'm spending time on it, is, that's all great. And at this point, they trust us that we can deliver these very complex switching products because we've done it already, which by the way, is no small feat.

There's been a lot of companies that have tried and failed to do these [indiscernible] size very complex Ethernet switches, and it's only getting harder with the SerDes performance and the speeds. But the next level of that, Joe, is that you then need to show a compelling clear road map that you can execute with credibility on the optics side, both NPO and then all the way to full integration on CPO and so our additions while certainly there's opportunities in the next few years that are going to come and we're going to have on the copper side, I think why we really win long term is because we convince our customers we can execute on the full end-to-end, which really is what our customers are looking for at the end of the day, especially in scale up, they need to book end the link, and they need to trust it on both sides of it and everything in between. They've got a partner that can handle that job.

And point solutions at this juncture, we believe are not going to get it done. You really have to have the end-to-end portfolio. And that's what we're hearing from our customers, by the way. So the existing silicon will do fine, and it will do great, but even more excited about the optics attached once that gets going over the next few years because it just effectively almost doubles the [indiscernible] of the switching in terms of the attach you can get Thanks.

Your next question comes from Ben Reitzes with Melius Research.

Matt, so I want to go back to the Google deal, I think people are just wrestling with this. And I realize that you have a great Analyst Day coming. So I -- don't shoot me. But for FY, if you look at the $120 billion over the course of the years, that's about $18 billion a year and at the $120 billion divided by [indiscernible]. And that's like adding an FY '28, Marvell every year. And I realize that we don't know how much is incremental versus what's already in your guide.

But, are we talking like FY '29 and FY '30 big step-ups as a result of this incrementally because these numbers are huge. And I know you're going to tell us at the Analyst Day, but I think we're all just trying to figure out how high to go in those out years? And is it at the comparable margin? And -- just any more color if you're in our shoes, how we should handle it into Analyst Day or just wait, that would be great.

Yes, Ben, thanks. And by the way, fully valid question. I mean, when you look at the scale of this, your math is not wrong. And what you can conclude from what I'm saying is, because most of this is comprehended already in next year, the big impact would be in '29 and beyond. So it's -- if you took the full performance and the full opportunity, then you're right, it's just -- it's just a monster number.

What I would say -- and so we do need the Analyst Day, though, I think you guys understand to contextualize it and probably show some ranges of outcomes. But you should assume in that time frame that on the custom side, these numbers would be a lot larger than -- overall custom than anybody has been modeling so far. I mean, I think there's been doubt for years that we could even do the $8 billion to $10 billion. This should give, I think, investors comfort that we secured a pretty big set of programs, not just here, but across the broad range of our customer set.

On the margins, just in general, this is a custom business, and we've got a financial model for custom. We've got a financial model for our standard and merchant products. It would be in line with that, but it's significant. And I'm not able to quantify it today for you, but you should assume starting in FY '29 and beyond whatever you've modeled previously prior to the warrant for custom numbers definitely goes higher.

How big we'll be happy to show the range of outcomes. But in the context of where Marvell has been, I mean, we were an $8 billion company last year. We just took everybody to $12 billion this year. We haven't even finished that year and $18 next year. And the rough math you do at full performance provides an incredible step up to the scale of the company. If all those programs that come to fruition at their max performance, which -- but I think what this is helpful to show is just the scale of the opportunity in general that Marvell is participating in.

Because we have significant engagements across the customer base. This one is a little unique because of the warrants that given the magnitude and the equity side, we needed to disclose it. But I think you've seen over the last couple of years, we've entered into very strategic partnerships with other big players in the AI market. And some of that we've done publicly and some of that we're doing just on our own.

So I think one takeaway I would have right now is just a significant validation of where Marvell sits in the market today, and we're very honored to be a part of the ecosystem, the TPU ecosystem and we'll see how it plays out. But I hope that's enough for now. I want to save a little bit of firepower from Investor Day.

And I appreciate that and congrats on that deal. I'll see you soon.

Your next question comes from CJ Muse with Cantor Fitzgerald.

I think one of the more interesting takeaways from NVIDIA's report last night is Jensen's view of the fungibility of compute, networking and memory to deliver performance in the AI data center in a cost-constrained world. And considering your vast experience and expertise across all these 3 areas, how is this backdrop, particularly in light of where memory pricing is today support your new design wins? And is it really focused on the memory controllers, custom HBM to increase short line? Or is it also driving strength on the XPU side as well? Would love to hear your thoughts there.

Yes. Thanks, CJ. No -- first of all, I see the same thing. I'm very mind-melded with what they talked about. I think at the broadest level to start, it definitely -- this fungibility requirement, given the dynamic nature of the market and some of the constraints we're seeing. Some are supply constraints, some are power constraints, some are architectural constraints, having our ability to very quickly execute custom and semi-custom designs or modify our products or adapt to shifting architectures at Marvell. It's a key capability, the flexibility that the company has because we've built a business around being able to customize quickly, and it's been in our DNA even from 2021 Investor Day.

We talked about how every hop in the network at some point was going to get some level of customization, it wasn't going to just be the accelerator. And here we are 5 years later, and that's playing out. CXL and memory expansion is one example where very quickly, customers are adapting, but there's also other opportunities where to optimize for inference as an example, and this is one of the things that was in the warrant, but it's a trend in the market. AI inference accelerators, that's another trend in the market you see. So I think companies are all looking at how they can maximize their performance, how they can maximize the cost and performance relative to the tokens generated.

And we're in a monetization era. So this stuff really matters. It went from training very, very quickly to inference and to companies now monetizing this. And so we're seeing a big pickup in activity. And it's not just on the custom side. I mean this discussion we had earlier about CPO and NPO and optics and copper, that's all moving very, very fast because, again, companies are architecting at a speed we really haven't seen to make sure that they have the most competitive solutions.

So Marvell fits right in there, CJ, on a number of fronts. It's not just "our custom" revenue, but it's the solutions underneath we provide including our networking and our storage and storage and memory in our compute .

Your next question comes from Jim Schneider with Goldman Sachs.

was wondering if you could maybe just give us a little bit of update in terms of the growth rate for productivity, you expect -- I think, Matt, you outlined those growth rates for both this fiscal year, next fiscal year last quarter. Can you maybe just give us an update on where those are landing, given the incremental strength. It sounds like most of that's being driven by that subsegment right now?

Well, yes, thanks, Jim. As I said, the way to think about it is the $500 million raise for this year and the [indiscernible] for next year is broad-based connectivity clearly is a driver, and I say connectivity at a broader level because underneath that, we spent time talking about scale-up optics. That's one, which is our NPO and CPO and [indiscernible] products. But it's also just the transceiver market for scale-out and optical DSPs going into that segment, that's upsized versus the prior growth rates we talked about. So that's in the $500 million and the $1.5 billion, that business continues to be absolutely on fire, and we're executing well there.

And then within connectivity as well as a broader segment, you also have our switching which is biasing higher this year, but also from our last quarter update, again next year. So you really have those three, plus, I'd say, custom that are all floating up versus our prior expectations. But Jim, we're really seeing broad-based strength. There's -- I think it's across almost all of our product lines when we look out, but those are a few of the ones I'd highlight. And you're right. The connectivity is a bigger bucket, it is probably the largest driver net-net of the $1.5 billion raise. If I just look at all those pieces I mentioned underneath, scale out, scale up and switching.

And our last question for today comes from Quinn Bolton with Needham & Company.

I guess, Matt, just wanted to come back to the sort of the near-term guidance. Within data center, I think you guided up greater than 20% sequentially. But with margins coming down 90 basis points quarter-on-quarter, is custom the fastest-growing segment within data center that drives that lower margin? Or is there some other mix going on within data center kind of driving the lower 90 -- or sorry, the 90 basis point lower guidance for the October quarter?

Yes, sure. Thanks. Let me -- I'll tee it up, but I'm going to have Dan comment because you guys are sparing them too much on this call. I mean, he's the new CFO. You're supposed to be asking him questions and you're asking me all the questions. So joking aside, you can clearly see it in the numbers. I mean, stronger Q3 guide implied a much stronger Q4 guide. We did say custom was ramped meaningfully in the second half. I said that, Dan said that. But Dan, maybe why don't you make a few comments on the margins and how you see that playing out and also through next year as well as we grow.

Sure. So just jumping in, we clearly see the performance of the company doing well. You see the acceleration in Q2, followed with acceleration in Q3, follow with acceleration in Q4. Part of the acceleration story in Q3, as you point out, mix is the primary driver. We've got a strong ramp in custom. And so you can see that play out in the profiling of the margins. Not a surprise. We've been signaling that custom ramp for quite some time as we window into Q4, that strength, we're signaling a bigger step-up, much larger step-up from a revenue standpoint, if you roll in the $12 billion annual target.

And that step up in Q4 is broad-based. You see it not only in custom, you see it in connectivity. You see it in a rebound in comm and other. So broad-based performance net it all out. We see gross -- Q4 gross margins in the same target range as Q3. If we use the back half of the year as a jumping off point and think about how that looks going into FY '28. That broad-based strength continues. We take the monounsaturated iterations and we push that forward into next year, and it's cross custom's, it's across connectivity all parts of the business are higher. They're up.

Gross margin depends on ultimate mix. My preliminary view is, is gross margins next year are going to be in a similar range, same range as we're exiting this year. So back half of this year, same range for FY '28. So we feel good about the performance of the company. We're going to drive growth at this company. We're going to do it with discipline, and we're going to deliver strong margins.

But when we think about that margin profile, operating margin still has significant leverage embedded in it. You're going to see it up in Q3. You're going to see us entering our target long-term model range, 38% to 40% exiting this year. You'll see us achieve the high end of that range as we progress through FY '28, and we're going to reset that long-term target model here in the coming weeks at the Analyst Day. So we feel good about the performance of the company and the broad-based strike.

Thank you. And ladies and gentlemen, thank you all for your participation. This does conclude today's teleconference. You may disconnect and have a wonderful day.

Welcome back to Day 2 of The Six Five Summit: AI Unleashed. Yesterday, we set the foundation. Today, we go up the stack into where AI actually meets the business. We are kicking off with Matt Murphy from Marvell on where AI silicon is heading, then across 4 tracks: connected intelligent edge and networks, AI devices, enterprise AI software and agents, sustainability. We are going to hear how AI is moving out of the data center and into the network, the endpoint, and the application layer.

Pat, you've been beating the drum on this for a year. Compute, it's being solved. You could say maybe it's been solved. It made NVIDIA a $5 trillion company. Memory, it's being solved. The memory wall remains, but we're making progress there. And now connectivity is a new bottleneck. Jensen literally crashed Matt Murphy's Computex keynote to call Marvell the next trillion-dollar company. So frame Day 2 for us. What does it mean when the wire between the chips, what connects the chips becomes every bit as important as the chips themselves?

Yes. So Daniel, this really is running historically as we've seen before, right? When you lose the capability, let's say, in 1 rack of data center equipment, you've maxed out the compute, you have the power, you have to go elsewhere, right? And you can build it up inside the rack, you can build it outside the rack. And that's really what Marvell is doing here.

Not only is it intelligently connecting things inside the rack and then between racks, but also between data centers. And that's how you get this distributed computing that we need for training and by the way, inference. And as we'll also hear in Day 2, we're distributing also on devices and on to the edge as well, kind of playing out historically like you would expect.

Absolutely. We've only touched on the power of physical AI, robotics, autonomy. But of course, today, we're going to get a little bit more on that. And then, of course, we're even going to have the energy conversation in our sustainability track.

Yes, looking forward to that.

All right. Well, let's everybody welcome Matt Murphy to the stage. Let's get into it.

Welcome to The Six Five Summit 2026. It is AI Unleashed. It is Day 2. I'm Patrick Moorhead joined by my bestie, Daniel Newman. Today, we're kicking off things by talking about X infrastructure behind the next phase of AI and discussing what will it take to keep pace the scale of the build-out. We're joined by Matt Murphy, CEO of Marvell. Matt, welcome to The Six Five. You've been on the show before.

Thanks, Pat. Great to be here. Hi Dan.

Matt, it's been a minute, but you're a wily veteran of the show. So it's great to have you back here. I kind of heard Pat in the setup. I mean, look, it's all the things. And if you look at Marvell's, your M&A and your building over the last few years, it seems like you were kind of playing all the right cards as we keep talking about where is the constraint, and you guys are playing in every -- in all of them.

But look, let's start at a high level. I mean, we are in the middle of the largest infrastructure build-out in history. Probably the largest technological revolution that any 3 of us young men will experience in our lifetime. From where you sit in the ecosystem right in the middle of the action, Curious kind of what is your overall observations of this transformation that's going on? And do you think people actually underestimating this even still as big as this is getting?

Yes. Well, again, great to be here. And I think a couple of things to think about. I think the first is we've been on basically a 10-year journey here, right, at Marvell. We made a pivot to what we called the data infrastructure market, which we kind of named 10 years ago that really didn't exist as a sort of a semiconductor end market.

But the belief we had basically was that all these millions and millions and billions of units of devices that had shipped and had created data were going to create a whole bunch of data that was going to need to get sorted through and monetized and ultimately transmitted, moved around and stored. And that the -- at that time, the advent of cloud computing and data center technology was really taking off. So that's where we pivoted the company.

It was less than 10% of our revenue back then, and it will be 80-plus percent of our revenue, not in the too near future. And the company has grown over 5x over that period. So it's not a new thing for us. But I think to your point, the AI application became kind of the killer app of data infrastructure. And while it feels like we're at the top here or like can it keep going? I mean we've -- I think we've all felt that way since ChatGPT dropped back in the end of 2022.

So from our standpoint and what I see in the market, being in this business day in and day out, we are still at the very, very early stages of the deployments. And even more importantly, I think, the very early stages of really having as a broad ecosystem, the technology required to truly scale AI to the levels it needs to. And we can talk about that. But Pat referred to it at the beginning. You had the compute and that got all the attention and it was sort of like who can make the best GPU and XPU and custom ASIC, and we could talk about all that and processor.

And then the memory and the storage has really been sort of a pronounced super cycle, if you will, that has been sort of unprecedented in the last year or so. But what's coming next and what we're in the middle of is now to the point, the connectivity that needs to get unleashed and the interconnect that really enables the memory, the compute and all of the data processing and memory processing that's happening to actually move between the chips within the racks across the pods, up in the upper layer of the network, scaling across data centers and ultimately back to where the consumer is benefiting from this. So we're at the very early stages of that, and I'm happy to talk more about it.

Daniel referred to kind of the early bets that you made and photonics, I mean, you absolutely crushed it, right? You acquired Inphi 5 years ago, and you're looking very smart for doing it and being able to build that out. Let me ask you this, and a lot of it is around the debate of the copper wall and things like that. But what did you see then -- and how do you see the transition from electrical to optical connectivity playing out from here? There's a lot of talk about CPO is the ultimate destination, 3 versions of that. But how do you see this playing out and when?

Yes. Yes, you're right. We closed Inphi in April of 2021. We announced it in the fall of 2020. And that had been a company actually since December 2016, which was about 5 months after I became CEO that we were interested in. I've known the company for some time. And the stars aligned in 2020, but that was at a moment of inflection where inside the data center, there was a massive transition happening on the optical side to PAM-based DSPs, which basically was the modulation technology and the architecture that was required to really move to the next generation of high-frequency communications over optics.

So we got a great DSP business. But by the way, it's not just that. Within those modules, you also have to have high-performance analog, which is typically silicon germanium-based TIAs and drivers. And we're going to come to that next because that technology, which, by the way, I was very familiar with from my Maxim days. I mean we were 1 of the pioneering companies actually at Maxim to develop silicon germanium technology in our own fabs, and I managed those product lines. I had these kind of components 25 years ago.

Now a much more crude state of silicon germanium that exists today. But these broadband analog components actually, we'll get into this later, have become a key component, not only of the optical-based DSPs, but now when you go to NPO, which is near package optics and then CPO for linear drive, you're going to have to have the silicon germanium technology. So we got that from Inphi.

And then on top of it, we got silicon photonics technology, which was used designed by -- brought to production by Marvell and Inphi together, and that was used in long-distance communications called DCI, which is for between data center, long-reach applications. But we've shipped millions and millions of units and have 15 billion hours of reliability data over the last decade in silicon photonics. So now we're sitting here at this advent where all of a sudden, silicon photonics, broadband analog components, DSPs, all of that is the fundamental technology you need to not only build the scale-out network.

But as you go to scale up and then even scale in, those are the key building blocks. And I think people are now realizing, wow, this -- first, it was moving to DSP-based optics. Now it's actually moving directly to CPO and NPO. We've been doing this for 10 years. And so Inphi was a part of it. And to accelerate that, we did another acquisition at the end of last year of Celestial AI, which had a very, very competitive purpose-built CPO and photonic fabric solution that really we then combined those 2 teams together.

So we've got kind of the best of both worlds. We've got 10 years of development on our side on DCI and then NPO solutions, Celestial coming in with CPO. And basically, we have in Marvell now, the most broad, diverse and competitive silicon photonics and optics team out there, which is, by the way, not a stand-alone product because you actually want to connect those optics to your XPU, if you're going to go do custom silicon on 1 side or we can work with third-party or merchant GPU companies to integrate the technology.

And then to move the data around, you need to send all those -- all the data through a switch, which, again, we can communicate, we can attach our optics to Ethernet-based switches, UAL-based switches or even NVLink-based switches. So all -- having all these pieces under 1 roof is going to prove to be a very compelling thing for our customers because everyone is trying to figure out how to take advantage of all these diverse technologies that are required to really drive thousands of GPUs and ultimately hundreds of thousands of GPUs and millions of GPUs to communicate with each other.

And the clusters are just going to keep getting bigger, aren't they? Dave, by the way, the Celestial CEO joined us for a session here at The Six Five Summit, everybody. So make sure that you tune in for that.

He'll have a great perspective on that. And he's leading that entire combined effort for us now. So Dave didn't just run the Celestial business. He runs the Marvell silicon photonics. He runs the DCI module business for us, and he's responsible for our entire switching platform. So we have 1 executive that's kind of got the end-to-end ownership of this. So yes, he'll be very exciting to listen to. He's right in the middle of this entire technology revolution.

By the way, there's another bottleneck that I think Marvell is addressing or attempting to address, and that's the memory wall, right? I mean every -- connectivity is a big challenge. Memory is also a big challenge, especially with the scale of inference. Just in your viewpoint, why is this such a hard problem? And you kind of hear about everyone's working around the memory wall or architecture like what do you see there? Is that happening?

Yes, it's a huge amount of activity there. And it predates the memory shortage, by the way. So this -- the memory expansion technology we fundamentally possess now was all organically developed at Marvell. So this was something that we decided to do on our own. And the first effort we made there was with kind of an industry standard technology that emerged about 5 years ago called CXL.

And basically, CXL at the time, this is pre-AI guys. It was envisioned for industry standard servers. And Pat, you know this business very, very well. And you remember, traditional CPUs, x86 and RAM, all have a fixed number of memory controller ports. And so what we were -- what was happening even in standard servers is when people wanted to add more DRAM and more memory, you'd have to buy more CPUs, which didn't make a lot of sense.

And so effectively, people wanted to get put -- and created a standard and the idea was you could put a CXL memory expander or even later a pooling device, but basically gang up larger amounts of memory, not have to scale your CPUs with memory, and you could do those things in a disaggregated way, which is where disaggregated memory came from. So that's been happening. Now AI actually kind of accelerated the use cases for this type of thing because 1 in inference, again, you're going to want to have disproportionate amounts of memory attached to your XPU for KV caching. That's one.

The other -- and then on top of that -- so that whole trend is happening. And then on top of that, with the memory shortages that people are seeing that everyone is getting creative -- so we're actually seeing a faster adoption now of customers that were already designing us in on some of our solutions, trying to go faster because basically, it obviates the need to buy as much memory as they thought before if they could put some level of memory expansion capability in between.

So that's become very strategic to us, and we've got multiple customers on either custom-based memory expansion or we have a whole standard product line of CXL expanders, CXL switches and CXL retimers. So it's an end-to-end kind of offering we have. And I think people were wondering, is this really going to take off after the x86 kind of application slowed down when AI hit, but it's actually -- it's on turbocharge. And we've called this out as like $1 billion, multibillion-dollar kind of business for us in the future. So it's become a real thing, and we have absolute product and market leadership here.

Yes, it's interesting. I think we met 10 years ago right after you started. And back then, I think Marvell, 10% of its revenue was data center. And here we are today with memory solutions, connectivity solutions and at Computex, Jensen calls you out as the next trillion-dollar company. I guess more editorial, congratulations. You keep making the right moves. I want to talk about custom silicon. We've chatted about this a lot. You do a lot of it. You have a lot of IP in there. For those who don't live and breathe it like us on here, what does it mean? And why do hyperscalers -- why they continue to invest in it?

Yes, it's interesting how that's evolved. We got into this business through an acquisition we did in 2019 of a company called Avera Semiconductor, which was a spinout of GlobalFoundries, which had all of its roots, and it was IBM's original custom silicon design team, which was a very successful team. They really needed to be able to operate at the leading process nodes. And so when GlobalFoundries decided to focus on mature and specialty technologies, they spun the group out.

We put them right on TSMC and on our technology platform. And we pointed at the data center market. And we ended up winning a number of custom silicon sockets pretty quickly in the data center. And Pat, to your point, there was a debate just a few years ago whether these would ever go to production, right? I mean there was a debate whether the custom XPUs could actually penetrate a reasonable part of the market.

And if you fast forward to today, companies like ourselves and a few other large peers have taken into production very complex custom XPUs that are being deployed and now running training workloads on them or inference workloads on them and customers are using them. So this is -- and when we had sized this 2 years ago that maybe you'd have like 25% penetration of custom silicon versus merchant. I think the prevailing view is that number is probably going to be higher in terms of units.

And the reason that happens is customers have found reasons why they believe for their own workloads, which they know better than anyone else, that for a portion of their fleet, they see a lot of economic advantages and technical advantages and architectural advantages to doing some of that themselves. Now the notion that custom is going to take over all of the market, I've been not of that opinion consistently for a long time. It will coexist. It will be a part of the market. That's where we come in.

And by the way, we -- you mentioned Jensen and NVIDIA, they did do a $2 billion investment into us earlier this year. And part of that agreement was actually us being able to use a lot of their very rich IP in our custom products, so we can actually interoperate with their merchant products. So they're not fighting it either, and they see that this is the way the market is evolving. And they're just trying to make sure that the ecosystem ultimately supports the best possible technology that gives the best performance and returns for our customers.

So we're very active in this area, both on the -- and what gets talked about a lot is the accelerator itself. So a lot of excitement about that. A lot of people want to talk about that, a lot of articles pretty much every day, you'll see something. And we're in that business and customers rely on us for that. But there's another category that we've basically called out and defined ourselves, which we called XPU attach, which is all of the key custom silicon components around the XPU, which one of -- some of those, Daniel, are memory expansion.

But also we see the NIC or the network interface products also being customized, security products. I can go on and on. And so that whole category, which was looked at as, maybe that's just too small, it's too nascent. Our design win momentum here is significant. And if you think about these different ecosystems that have now developed, the TPU ecosystem, the Trainium ecosystem, the MTIA ecosystem, there are several of these now. And by the way, we also do XPU attach, which can work with somebody else's custom XPU or a merchant GPU, by the way. Some of these get deployed on servers from both.

And so that business is doing extremely well for us and customers see real value because ultimately -- and as far back as 2020, we were saying this, basically, every cloud is different. Every cloud is going to be its own market, its own architecture and everyone, ultimately, all the pieces of it will require some level of customization. We said that 5 years ago, and now it's happening. And I think we said a year ago at our AI Day, we have like 15 or 18 different designs across all 4 big hyperscalers plus others of these XPU attached products, which can get up into the $500 to $2,000 content level per accelerator.

And this is all Marvell IP, by the way. These are chips that we design, build to spec typically. It's not a lot of RTL or design from our customers. Sometimes it is. And so we can add a lot of value here, especially in conjunction with the XPUs we have, but also just the broader business we have with these hyperscalers.

Yes, we've entered the era of abundance, I call it. There's this kind of perpetual narrative in the market that someone has to lose for someone to win. And I think that's been wrong all the way up. We continue to revise our forecast up, Matt, but we have close to $700 billion of cumulative just XPU between now and 2030. And I think that number continues to rise with every quarter when we revise it, the number keeps getting bigger.

I think we've -- I mean, we did a recent data center CapEx forecast. I think it went from like $10.7 trillion cumulative between now and 2030, Matt, to over $12 trillion in just 3 months, just as we keep watching this grow. So -- and I think your attach story got missed for a long time, but I do think the market is beginning to appreciate it, which is funny because you've been doing it and saying it all along.

Right. Well, I think it's funny. Some of it actually because of your point you made, there was a point in time. I think that's gone away, but where it was viewed like there's 3 sockets, it's a 1 or 0. If you don't have -- if you have 1, you're great. If you don't have 1, you've lost and then everything else is an excuse. So I actually think in some ways, when we articulated our XPU attached strategy, people thought it was it was like, hey, just go look over here.

That's right.

And we're like, that's fine. But yes, we're just -- we're going to kind of do it like we always do with guys, like very consistent, talk about our business, frame the opportunity, go execute against it. And if I look over the last decade, we've been very, very consistent and very accurate, right, in how we sort of frame these things. So there was no other conspiracy theory on this. We basically said, look, there's XPUs and we're doing well there, and here's how big this is. There's all these other sockets we've won.

And it's not 1 or 2. It's like a dozen plus, a couple of dozen. And they will generate meaningful revenue for us. And they're also very strategic, right, because they ultimately are like a very bespoke part of our customers' architecture that gives them advantage in what they're trying to do. And then when you combine that with our strength in connectivity and switching, then you're talking about a very nice architectural end-to-end approach we can take and share a lot of that IP as well between all these different solutions.

And customers see that, especially in an era where you can't miss, you've got to execute on time and you've got to have large, reliable suppliers to count on. And it's absolutely not a 1 guy wins and 1 guy loses. And it's like this thing is absolutely at this point, this market is not a zero-sum game. And it's -- there's enough market growth that the key participants will all, I think, do really well.

You can all win, right?

Yes.

It's -- the one with era of abundance. You guys are in the tray, in the rack, in the data center, and across the data centers, and there's opportunities in all of those. So gone pretty deep and appreciate that, Matt. As we sort of wrap this up and get into our day here at The Six Five Summit, we'll ask you a bigger question, just a broad viewpoint. There's debate constantly. Pat and I go on CNBC or different places, you use the same. People will say, what inning are we in or how early are we or how far into this AI revolution are we?

I proclaimed that we're still in the pregame, tailgating. I've heard people go on and say we're in the third inning. Just kind of curious like where do you think we are? How early or late is this? And how would you define -- how would you answer that question?

I'd refer to it as early innings. I don't know if I can get that precise. But clearly, there's momentum, right? There's -- things are happening. And we -- I mean, when ChatGPT dropped and it was sort of like early 2023, we were trying to figure out what's our content? How much -- how are we attached to this? I mean I knew we had design wins.

I knew our content because I knew even back when we acquired Inphi, were doing diligence on these guys in 2020, and they showed me the whole team, all of their GPU clusters they had won. I mean we saw them all. And so like -- but how do you quantify? That was definitely a pregame early inning, right? No question. And by the way, it was crazy at that time, we said in May 2023, we're going to do $200 million this year in AI and $400 million next year.

And it was like our stock went up like 40% one day on that. I mean we're doing -- our data center business is like north of $2 billion a quarter right now, just to give you a sense. So we're definitely progressed. But when I look going forward, the TAM opportunity is massive and the technological advancement right now is still early. I mean the real big 1 is this is where the connectivity comes in, guys, just to kind of wrap this. You still haven't seen mass deployments of GPUs and AI accelerators scaled up. You haven't seen it.

It's -- this is all in front of us. I mean think about the compute and memory power that's going to get unlocked when you can gang up in daisy chain now, multiples of GPUs inside of rack, multiple racks and pods together. Scale across is one that we didn't really talk about, but that DCI application I talked about, which was just sending data traffic between data centers, you're going to be able to fairly soon coherently connect up clusters in different data centers and have them operate as one.

So this era of connectivity, I'm telling you, is going to unleash a whole new wave of innovation. It's going to enable new use cases. It's going to enable cost to come down, performance to go up. None of this has happened yet. So when you hear about the scale-up market, it's going to be big, yes, because it's the next way you can actually drive the scale of compute that's required by the AI market. So that's why I think it's still very early.

And we're still looking right now, like, for example, CPO, give you 1 last 1. That's coming, and we have certain customers that are going to adopt it. But like what's hit us in the last like 6 months is that NPO for near package optics probably will hit first in a bigger way and then CPO is coming. So it's all coming, but it's just not going to come at once. So I think there's many, many years in front of us here.

And I mean, I'm just getting off of our annual strategic review. We do it once a year, this time of the year, every year since 2016. I was CEO for 5 weeks, put it together, reviewed the whole portfolio, deep dive. I'm doing it right now. And I'm telling you, I've never seen anything like this in terms of the TAM in front of us, all the solutions we can go after. So from our standpoint, we're very early innings in what we can go do as a company, but also where the AI market is in terms of its kind of technological advancement relative to the silicon that's required.

It's a great answer. So I'll sum it for our audience that if the game is really long, if you're willing to acknowledge that this is like a cricket game that can go like 2 days, it's the early innings. If it's a shorter game, maybe I was right and we're in the pregame. I'm not putting words in your mouth. But the fact is the utility like we're actually industry stuff we're using is really just getting started. The build-out is probably, like you said, a little bit further along.

Matt Murphy, Chairman and CEO. Thank you, Matt, so much for joining us.

Yes. Great to see you guys. Thanks for having me on.

And everybody, stay tuned. Day 2, it's on. Stick with us.

All right. Good afternoon. Welcome back to this session at our BofA Global Technology Conference. And as a real huge surprise and positive surprise, we have the team from Marvell join us. Really honored and delighted to have the CEO, Matt Murphy; and Ashish Saran, the Head of Investor Relations. And I was told that Matt actually just landed back from Taiwan, where I think he had a little bit of a quiet trip, right? It was quieter than usual.

Very calm trip. [indiscernible]

Very calm. Nothing happened at all.

[ Chasing ] wafers.

Exactly. So I'm sure we will talk about market caps and such, but let's get to fundamentals. So Matt, how would you kind of describe Marvell for the next 5 years, right? What -- how do you see Marvell fitting into this ecosystem where you have 1 or 2 really large companies who have both kind of compute and networking resources? And then you have other companies who are good in compute or in networking, right, but not in both. So how does Marvell fit into this ecosystem? What is kind of your strategic plan for the next 5 years?

Sure. Maybe before I talk about the next 5, just for a moment, just a quick recap because it's important to understand how we got here and where we are, right? So actually, I'm coming up on June 20, 2016, I was announced as the Marvell CEO. So you can believe that for those of you guys have been around, I can't believe it's been 10 years.

But the first 5 years of the company was really about rebuilding and transforming into really to try to get to where we were today, which was our aspiration to be a leader in data center and data infrastructure silicon. So a lot of ins and outs in the first 5 years, selling businesses, acquiring businesses.

But net-net, even though there was a lot of ins and outs, and we shrank to grow a couple of different ways, we doubled Marvell actually in the first 5 years. We were at $2.2 billion in the first quarter run rate I was CEO. We ended 2021 post-Inphi at like $4.5 billion, $4.6 billion, something like that, pretty well positioned.

Took a big risk with Inphi, if you guys remember. Actually, fun fact, the banker told me this, the 2 highest multiple transactions of any scale in the chip industry in the last 25 years, number one was Inphi, 13.3x forward multiple. The second was the divestiture of the automotive business of Marvell, which was 12-plus times forward. So I've been involved in a couple of these high stakes ones. The Inphi one worked out really well, but that was sort of 15% growth in the first 5 years getting ready. We took a breather. We digested. We integrated. We fired up the M&A machine again.

In 2025, we did the auto divest. We acquired Celestial and XConn really to address the scale-up opportunity, which we're going to talk about because that's a key sort of call option in front of us. And so if you just take The Street revenue this year of $11 billion plus, we'll have grown the company about 20% a year compounded for the second 5 years I was here.

And actually, even if you go back to the Investor Day we did in 2021, when we closed Inphi, the whole company was at $4.3 billion run rate. So we've actually hit the high end or more than our Investor Day targets, which normally are 3-year targets, right? And then you sort of reset it. 5 years, we've been growing the company. So that's all been great.

I am so fired up on the next 5 years, right? I mean, the last couple of years, we've been growing at a faster rate, right? So first 10 years was like 18% compounded. Obviously, shareholder returns were way above that. Data center went from sub-10% of revenue to 75%. So next 5 years, data center is going to continue to grow in importance for us in terms of the contribution.

Total top line, I mean, if you just look at the last couple of years, data center last year grew 46%. It will be like 50% this year. And then we signaled our current indication for next year would be like 55%. So it's accelerating, but that's all on the back of 10 years of blood, sweat and tears, man. This isn't some overnight success, some new PowerPoint presentations, some new concepts. I mean you had to start on this a long time ago, okay, to be ready.

So why we're well positioned, I think, to keep this kind of a growth rate up and the position we have is that -- and here's where we're unique. As you mentioned, there's a lot of the big scale AI players -- and I said this in my COMPUTEX presentation, there's 3 big compute ones, and these are all $1 trillion or close to and then $5 trillion for NVIDIA, compute-heavy companies with some networking, but they're compute-dominated, right, compute-heavy. And then you have the memory companies, those are obviously like big companies and solid, they're all memory.

If you look at us, we're like, whatever, majority is connectivity, not compute. And that's one of the reasons why NVIDIA invested. By the way, we can come to that investor if you want to talk about it, but we're very complementary to the rest of the ecosystem. We're not battling it out in some compute war. It's a part of our business. But even the people that use us for our custom are typically using us because of our connectivity IP and our I/O IP and the fact that we can stitch it all together with the rest of our solution.

So when you look at the, let's call it, the 70%, whatever your number you want to pick is, the connectivity, which includes a whole bunch of product categories, that has a ton of legs to it because that's -- and I'll pause in just one second, but that's today, the growth has been driven just by the scale-out deployments, which has really been in our traditional DSP business but also even like in scale-out, the switching is really doing well now. But you've got scale-up all in front of us. That market is probably as large an opportunity for us to scale-out in terms of connectivity.

And then you have scale-across, which prior to that was just really DCI, that's moving now AI workloads across. So I don't -- that's where I think a bigger opportunity exists -- and we don't know how big that can be, but certainly, we're well positioned, again, because of the last decade of investment, which at COMPUTEX, I said was basically $22.5 billion of acquisitions, $18 billion of organic investment and $4.5 billion of divestitures. So $36 billion of kind of net spend has gone into this to get to where we've gotten to today.

So Matt, you were just back from COMPUTEX. I was hoping if you could give us an update on what were sort of the key points, right? You made a 102-terabit product announcement as well. But I think bigger picture, I wanted to get your take that everyone seems very positive right now. And you have kind of gone through a number of these cyclical ups and downs. How do you sense kind of the durability of this cycle, right? What are your customer discussions indicating?

And you're saying cyclical from a -- take a long-term view of the semi industry, you're not saying Marvell specific.

Exactly right.

Yes, yes, yes. No, I'm in my 32nd year in this industry kind of on the front line from day 1 as a product manager all the way to general manager and VP and whatever, all the days for different things I did. So I've gotten to see all of the major cycles we all remember. And I also remember the ones that everybody has forgotten, by the way. There's been a lot of them.

Remember the Greece issue? Remember that one? There was like a Greece financial issue and that had a slowdown, 1998 contagion. And anyway, there's all kinds of different ones. But this one is really interesting.

I think one is we're just in a much more thematic cycle here because it's a true global infrastructure build on AI is kind of on the scale of an industrial revolution type of event. And I think -- so one, as you can see in our own numbers, right, just us as a proxy, one company, 46% data center growth, 50% -- 55% as we stand here today is the outlook. That cycle, to me, at least at the moment, looks very healthy.

And the reason is there's -- this is with a lot of natural constraints in the system. There's still not enough logic wafers to go around, and that's going to take the leading companies several years to put that capacity in place. I think the memory shortages are understood and there's a path there, but that's going to take time.

There's just the global power grid. There's permitting. There's -- so there's all kinds of, I think, constraints, Vivek, in the system that I think in the past, we had these kind of unfettered access to supply, which then created these issues like PCs over cycling or smartphones over cycling or -- and then COVID, by the way, was a supply-related shock.

We're in like a demand shock now. But I don't -- we don't see it slowing down. And if anything, we're being accused of being a little conservative for next year because in our model to get to our $16.5 billion target, we do assume CapEx will moderate. We don't think it's going to collapse, but we have kind of a 30% plug in there for next year. We're not the experts. You guys have better data than us. But to the extent CapEx bias is higher than that, we would probably do better. And I think there's a chance that it does. But right now, I think everything is -- bookings have been incredibly strong. Backlog is laid in.

And then I would just say on the design side, by the way, this point about really having the core IP developed and production worthiness of what we do. And I mean just take silicon photonics, for example. We've been in production for 10 years on silicon photonics. We have 15 billion hours of data in the field. We've gone to high-volume manufacturing on 4 generations.

Customers, when they look at us -- and that's just one example, they're looking at us saying, if I really want to get there over the next couple of years with a partner who has all the pieces and it's proven, we're in very rare territory here. There's a lot of companies and concepts out there. There's start-ups. There's PowerPoints. There's proof of concepts. There's a demo at a conference. It's not the same thing, okay, as shipping in extremely high-volume manufacturing with the right capacity, cost structure, yield, et cetera.

So I would say, if anything, not only is the setup great, I'd say in the last 6 months in a very pronounced way, I think our customers are realizing if you don't have all the end-to-end and all the pieces and you're relying on a cobbled together third-party situation of IP and back-end design houses and start-up companies, and I'm just going to cobble it all together, and I think I'm going to make it work, I think we're seeing that recognition that it might or I can have Marvell underwrite my success because it's going to work, and I can trust these guys. So that's kind of all in front of us, right? That would be incremental things that we would go off and do. But I'd say the positioning of the company is extremely strong at the moment.

Yes. And I think what's equally exciting is that we are a kind of revenue diversity as we get there. It's not about just more of the same product line. That absolutely is going to happen. But we, for example, called out 3 new $1 billion businesses, all happening in the next year alone, right? And this is -- by the way, this is before scale-up becomes really big, right?

So I think that's the other nice part. It's not a single socket. It's not a single product line. It's not a single technology, it's not a single customer. I think that's very exciting for us is that the revenue diversity in this company is going to be very significantly growing in the next 2 years.

Got it. Right. I mean the nature of the beast. So one of the arguments you would hear is, well, gosh, you guys are so concentrated. But let's take a step back. First of all, the whole market for semiconductors today is AI. I mean if you just look at like the absolute spend now, what's happening relative to auto, the traditional ones we sell, you have auto, you have PCs, you have industrial, you have smartphones. Just look at the numbers, right, and where it's going.

So AI is the market for semiconductors. Let's just accept that for a minute. So then which again has its own risk, I got it, but that is the market. And then you say, well, within that, how diversified are you? And we're not a one-trick pony. We don't have like one chip, and it sells to one customer, and that's like a bunch of our revenue. And that's exactly what Ashish said.

We're -- and we had some of this issue on the ramp-up on custom. That's why there was a lot of excitement over the last couple of years, hey, your custom business is going to be a big portion of the total, and we had to kind of go through that cycle, but I look out into '27 and '28. And that's why we called out these things. I mean, broadband analog, SiGe components, SiGe, high-performance analog, $1 billion business. Cloud switching, $1 billion business. DCI with very little scale-across $1 billion business. Whole company was $4 billion a few years ago. We're layering in.

And then within those, they have multiple customers to them. So -- and then even with our custom area, again, by the time you get to 2028, you're going to have 15, 18 products in production, some are XPU, some are XPU attached, none of them is going to break the bank here. So I think that's really powerful for investors to see that there's a -- among all the semi companies selling into AI, we actually have, I think, a pretty favorable diversification plan going forward.

And I'm not saying the others are bad because they don't. They might be more concentrated because our customers have gone nuts. That's great. I'm just saying that's where we end up, and that's why we have so many shots on goal. We think that's a healthy thing to have. And we're able to do it in our OpEx envelope and fund all these things. And we think there's strategic value for us going back to like, well, how is Marvell different? We are generally agnostic, so we can work with pretty much everybody, including people that would be considered a rival like take NVIDIA.

Yes, maybe we do custom silicon. They make GPUs. But even in their announcement, they're actually enabling us on custom with a lot of their IP to be more competitive because they realize it's going to be a fungible type of a solution out there. So that's -- if you want to just get to how we're different, connectivity heavy, I/O heavy, a lot more customer -- lot less customer or socket concentration and a diversity of technologies, which in the end, and we can get to scale-up if you want to, you pull it all together, it's very powerful to truly have the end-to-end solution you can provide.

Got it. Maybe a quick word on NVIDIA and the engagement, Matt, that you have, whether it is across CPO or NVLink Fusion or just in your core optics business. And I also wanted to take the opportunity to ask were you as surprised as all of us when you saw Jensen pop up on stage?

Yes. Well, let's cover the partnership first. So yes, that's off to the races, and it's very strategic in nature. Certainly, we have existing -- and it's built on, by the way, years of the companies working together. This wasn't some new concept. I mean Jensen and I fired up the teams to work together. I mean this is -- I think it is even pre-COVID probably, if you go all the way back on just how do we sync up, how do we work together across a variety of their platforms, by the way. So this has been ongoing for some time in a collaborative way. We formalized it, which was great, and then we sort of wrote down some of the things we can do together. But most of it is very strategic in nature, right?

It's about enabling us in custom silicon. It's enabling NVLink Switch and NVLink Fusion to be more broadly adopted. What a home run on the Celestial team joining us and joining forces with our own optics team, right? We had a team that did the 10 years of history of silicon photonics. Now we got Celestial in. That's very attractive because now that whole combined team can work with NVIDIA. We could drive standards that are interoperable. We can make all of our chips work together and all of our silicon photonics work together, huge customer benefit. We're even doing stuff on like 6G and AI RAN. I mean it's quite encompassing. So it's very strategic. It's really based on long-term kind of R&D alignment. So that's all positive.

And then, yes, he was nice enough to support us. I did my first COMPUTEX presentation ever. Hadn't done that before. We got invited. I thought it was a great opportunity. I was honored to be able to have Marvell kind of be on that stage. So I said, yes, quite a while ago. And then we asked him to join us on stage, which he did and also Tien Wu from ASE, who is the largest back-end company in the world.

And yes, I think he knows our story well. There wasn't a lot of prep. I mean, with his team a little bit. But yes, he came on and he did a great job. Actually, he rattled off my whole presentation in about 3 minutes, first of all. That was not -- he was not scripted. That was not a rehearsed thing. He just kind of knows what we're doing. And then, yes, he sort of dropped this very exciting comment about Marvell is the next trillion-dollar company, which was quite a surprise. You can watch the video. That was definitely not scripted.

What was your reaction and then you...

Watched the video. I'm like, I think, I said, we have a little work to do still. But he's a great guy and his team has been just outstanding to work with.

So your reaction was makes sense or...

No way. It's a long-term journey. I mean if you -- I would say, though, if you go back, I mean -- and again, like 10 years ago -- guys, 10 years ago, Marvell's market cap was $5 billion and its enterprise value was $3.5 billion. You could have bought the whole thing for $3.5 billion. It's a real number. Go look it up, $1.5 billion of cash, $5 billion market cap. That was the starting point.

So what could you imagine? I didn't imagine it could go from $3.5 billion of EV to $270 billion today in 10 years. That's like 80x -- so I don't know. What can happen in this market? It's unbelievable actually. It's unbelievable what you can accomplish actually in an industry that's so unique and so vibrant like this.

If you have the right strategy, you align yourselves with the right kind of group of people -- I mean, for us, we stayed very -- if you followed me or invested with me for a long time, we're very consistent. We're very methodical. We grind it out year in, year out, quarter after quarter. We're -- and my whole guiding principle from day 1, and I told the Board this in my first Board meeting on June 11, 2016, I said, my job at this company, #1 job towards everything else is capital allocation. And a few of them said, what's that?

And I said, my job is to steer the R&D efforts of this company and make the best possible bets with the best possible returns and have a vision for where this company is going. And that's pretty soon after I became CEO, I outlined this thing. I said, look, I think the whole market cap of the world is going to move to these data platform companies. And that's where the semi TAM will follow.

And we didn't have anything. We had $200 million of revenue in 2016 in data center. It's actually $190 million, 1-9-0. It's like $9 billion this year or something. But we didn't have anything. I don't have anything to work with. So that was the M&A and the divestitures and all those things.

So my point is, what's possible? I don't know. I don't know what's possible with Marvell. But I do know that we're -- if the market continues and the AI infrastructure build continues, where we're sitting now, we couldn't be in a better spot relative to just how we're performing on the engineering side with our customers.

I mean it used to take us 5, 6, 7 spins to get a chip out. I'm not kidding you. I had some chips to add one product line, took 14 spins to get a chip to production. 90% of our chips now that are 5-nanometer and below -- actually, no, I think it's almost 100% now, but A0 first-time success.

So as long as we keep performing, and I think the products that we have for scale-out, scale-across, scale-up, custom silicon, switching, storage, I mean, all the key pillars we outlined 10 years ago, moving data, processing data, storing data, have those key IPs, bring it all together, that's still kind of the recipe that we're following. It's the same playbook from 10 years ago.

Makes sense. On -- you mentioned the transition from -- before I get to scale-out, I wanted to ask you about any constraints that you're seeing in the supply chain, right? Everyone seems to be tight and Marvell has gotten very big. There are still much larger players also. How are you ensuring, Matt, that you get your fair share of allocation from whether it's foundry or substrate or other parts?

Yes. Well, we definitely retooled the machine here about 5 years ago when we hit the pandemic, and we were kind of woefully prepared for that. I think -- the reason is, I think, Marvell had operated very tactically relative to supply chain and kind of reacted and they have 3, 4 sources for everything and kind of get cute, and it was like how do you save a penny. And I think that was born out of the business model back then. So I'm not -- it's not like a criticism, but that's how it was. And I think for consumer, that made sense.

We started getting into all of these data center projects, and it was like this is not going to work. And so we retooled the supply chain. Chris Koopmans took over as our Chief Operating Officer. We got very, very strategic relative to these engagements that we formed in partnerships, including a very robust long-term forecasting process that we run as reviewed by me and the Board once a year. I push it out to my suppliers and then I show it to them.

So I got to tell you, my supply chain for 2026, even though, again, there's a lot of concerns over the last few years of what's happening with Marvell, guess what, I told them what I needed. I forecasted $10 billion of growth to my suppliers back when I was $3 billion, $4 billion in revenue. I did. So I'm kind of getting what I told them, to be honest.

And if you look at where we were last September, as we kind of started to reorient investors, back then, we were saying $9.4 billion for this year and $11 billion for next year, and then we went to $13 billion for next year, and then we went to $15 billion for next year, and now we're at $16.5 billion. We've been getting the performance out of our suppliers. It's very tight out there, like I mentioned, on not just logic wafers, but across the board. So it's a battle. But it's been a battle since the pandemic. This isn't like some new thing we're not used to.

So we're pushing the supply chain hard, but we form these very deep relationships with our suppliers, and we do more with fewer. That's why Tien Wu. I mean, he's never been on stage at COMPUTEX before. He runs the biggest back-end company in the world. Super strategic, right? And he bet on me and Marvell like personally, like I think you guys are going to crush it. And look, they perform incredibly well for us.

So we'll keep working on it, but the demand is not the problem right now. Supply needs to be -- continue to be worked and planned for. But I think we keep planning our business well. We can keep growing quite aggressively. And we have enough supply today to do everything we've told you guys. So the question is -- yes, so that's all in place. The question is, if CapEx bias is higher or some of these projects really take off, can we do more? And that's what I'm trying to prepare my suppliers for.

Got it. I think on the networking and the optics side, there is kind of broad recognition that Marvell has led important parts of that market, and it's a diversified business to your point.

I think it's compute that I wanted to dig into a little bit that over the last 2 or 3 years, at least from the outside, it looked like the business went through a lot of volatility, right? The expectations got very high, right? Then even though from the inside, it might have been more predictable and kind of more according to a plan.

If you look over the next 2 to 5 years, Matt, do you think that you're now at a place where you have visibility on not just the size of the opportunity but also your share in those opportunities? Because that is what has created, I think, angst in the last 2 years or so.

Yes, yes. And there was definitely some lessons learned, but just to kind of provide the kind of what really happened and set the record a little bit. So we basically had effectively a $0 custom silicon business in data center when we bought Avera, which was out of IBM, GlobalFoundries, IBM. We did a good job winning designs there.

And along the way, we actually kept abreast investors up to speed. At one point, we had said for calendar '24 that we could do. $400 million in revenue, and we did that, and we exceeded it. And then we actually told everybody in April of '24 for calendar '25 that custom would be about $1 billion business. And I never updated that number. I just kept saying it's going to -- it will do better.

And what I learned from that was that, yes, I think people's expectations ran away from what I had told everybody, which is I only told people $1 billion. And we beat it by 50%, by the way. I never said it was going to be $3 billion or $4 billion or $8 billion or whatever people. People put stuff in their model later, and they're like, well, I thought it was going to be this. I said, well, I didn't tell you that.

I mean, guys, if you worked with me for 10 years, I kind of give you a sense of where it's going to go and like we're generally pretty close. You should do better actually. So -- and that's on us, too. Like I'm not blaming people. I'm saying that's what happened.

And so the reset that I really did in September -- and I'm going to get to your question, but I just want to make sure people understand, what should have been a huge success story is you guys took this spin-out of IBM that hadn't -- was stuck on 14-nanometer at Global. And we moved them to TSMC, 5-nanometer, SerDes worked the first time, won a bunch of sockets and got to $1.5 billion in revenue in like a couple of years. So it was like an unbelievable success story. But it was sort of like, oh, you missed and you screwed up. And so that was all shame on everybody.

So in September '24, I just said, look, at September of last year, I said, look, I'm just going to be very prescriptive now. I don't want anybody getting confused. I don't want this to happen again. I don't want my investors to go through this stress anymore. So we just been -- I've been very clear, hey, I think it's going to grow 20%. Why is it going to grow 20%? Can it be more? Shouldn't it be double? No, it's 20%.

And then in the last quarter, I said, well, it will be more than 20%, but just a little bit more, like don't go crazy. And all the way, the reason I'm doing that, too, is I did said at the same time, you say, well, you're so conservative, Matt, you're always so conservative. Well, guess what, April of '24, we did our long-term model for the first time in custom silicon, and we put -- basically, we said it's a $40 billion market in 2028, and we think we can get 20% of it. That's an $8 billion hanging out there. My whole company was $1.1 billion a quarter when I said that. So say I'm conservative or not, we put a model out there.

And then we said, CapEx is probably higher last year, so it's probably going to be more. So call it, $8 billion, $10 billion. So we're tracking to that. We're tracking to that. business is performing better than I said it would last year for this year.

Next year now, we had -- last time I had said custom was going to double year-over-year. It's going to more than double. Again, don't go crazy, go crazy, but more than double. And part of the reason I'm doing this, too, Vivek, is I'm trying to guide everybody to the fact that we still continue to have conviction as we've had for the last 2 years in our model that gets us out into 2028.

And now I think people are starting to realize, oh my gosh, I think these guys might hit these numbers. So we still got to go hit the numbers. We're not there. But it's really about just trying to -- especially on that piece of the business, just being much more kind of prescriptive so that we don't have a situation where expectations get too high. I'm really mindful of that.

And the nature of those, by the way, they're very specific programs, and they're so confidential, like I can't talk about them. You guys want to talk. I can't talk about them. But the nice thing is it's very diverse now. There's like bunch of XPU sockets, a whole bunch of XPU attached sockets. By the time we get to 2028, there's enough shots on goal that even if one does better or one doesn't do better, like we're going to be okay, net-net.

And -- but at the same time, we're extremely well positioned there. We have a great competitive platform at 5-nanometer, 3-nanometer, 2-nanometer. We'll be there when we get to the angstrom era. And every generation, by the way, on XPU and XPU attach, die size, die costs are going up because there's more density. Core counts are going up. I/O is getting more complex. ASPs are going up. Everything is going up and volume is going up. So at some point, I know these sound like big numbers to double or you going to triple it or something, but we're still relatively low share relative to the whole spend, too.

One final thing, one investor say, I can't believe you're -- I don't know, is it $4 billion next year? It's so small. So tiny. Like why do you even care? I'm thinking, sir, this company was $2 billion in revenue. That would be a nice number. So we're good.

Like just going to keep making progress against that and keep investing in the technology, do a good job for our customers, keep our mouth shut and just try to really do a good job delivering for you guys. So you have confidence in that base. But then let's let it ride on the connectivity, right? That's where I think there's a lot because that's the whole market. That's a market we can create, we can control. That's our engineers, like we can make the TAM happen there.

The other one, it's our customer that's really got the control point. And we're their like Oz behind the curtain to make sure that they're successful and help them out and do their business model and let them get all the credit. It's their ship.

Final question, Matt, scale-out to scale-up, how does your scope of opportunity change? And when do you see CPO becoming like a real product with like the depth with which you describe numbers in compute. At what point do you think you'll be in a place to describe the journey of CPO? And do you see customer diversification? I'm just kind of wrapping all these questions.

Sure, yes, I'll do the final one. So scale-up is all in front of us. Like I said at the beginning, the scale-out and the build-out of the AI infrastructure has been led by scale-out, and that's what's in our numbers today. That's what's driving interconnect growing 70-plus this year, right, as an example. It's ripping. Ripping last year. This year, it will continue to do well next year. That's scale-out driven.

So scale-up, a couple of things on that. First, from a switching standpoint, I literally -- on any number I've ever given anybody, there is $0 today ascribed to anything on switching. That's -- I mean -- and by the way, it's not like I'm not investing. I've got UAL projects, ESUN projects, PCIe with XConn and now -- and then an opportunity with NVIDIA, right, with them. So that's going to be a big investment focus for us. That's all in front of us, more to come there. But that's all new incremental TAM that's going to get created, right? That's coming.

And then from an optics standpoint, I think people got it, but we called out actually for next year, $300 million in revenue from scale-up optics, scale-up optics. So that's CPO, that's NPO, that's our light engines. It's not just Celestial. Celestial was a company we acquired in December, which had a lead customer and that's like, say -- that's on track, so let's say half of it. But I mean, it's actually starting next year. And that's like beyond early stages. It's 0 this year. So you're going from 0 to $300 million with -- who knows where it could go. So I think we're at the very early stages on that. So the only number I've given you is $300 million.

Yes. Maybe just one other thing to consider on the switch side in particular, unlike scale-out switching, where we enter the market, but at that point, somebody is already well established and you're -- we've done well, right? We've taken it from 0 to $100 million, $300 million, $600 million this year, $1 billion plus. Scale-up switching is completely greenfield. It's fully available. We could be leading the market from day 1. That's a massive opportunity. That's a very big difference, something to keep in mind. And because we also do XPUs and we also do the interconnect and we do the switch, that's a massive advantage. The scale-up...

And that is the discussion. I'll just end on this. The discussion right now that we're deep into across the board is pick your scale-up switch. We have it. We're not making some holy war bet on this thing, by the way. I'm investing in all of it. I have the R&D capacity to do this now. I don't have to take that bet actually.

So I got them all. I can absolutely prove and show how we can attach and integrate our optics there, whether that's CPO or an NPO-based solution. I can also do the same thing on the XPU or GPU, and I can provide that as a chiplet. And with our expertise, whether we make the XPU ourselves or we don't, we know how to integrate with that. And we know how to make the whole link work. We already do that. We know how to do this.

So that whole discussion -- I mean, always in semiconductors, you talk about the platform and the solution and then a lot of times, people say they have the platform and then you just pick one piece. But this is one, guys, I'm telling you where I think certainly in this first wave to make all this hang together, it's really going to be powerful to have proven manufacturing and reliability and technology for the scale-up optics and have flexibility on the architecture, whether it's CPO or some version of MPO and all the subcomponents around it, have the platform teams to make it all work together, have the switching IP and technology and be able to deliver reticle-size chips with hundreds and hundreds of I/O at the bleeding edge and be able to control that I/O, so you can pack it all in and optimize it and then have the ability to do the attach on the XPU side or build the entire XPU and integrate the chip directly as CPO. So that -- I mean that's not in any revenue forecast today, that thing. And the optics alone are worth almost basically just assume whatever the switch ASP is, that's the content opportunity on the...

Optics side.

So it's potentially very large, and we have not sized it other than saying, hey, the initial scale-up optics only for next year, which is year 1, has gone from $150 million when we bought Celestial to $300 million in like 6 months.

Got it. We have 6 minutes over.

Yes, I know.

Thank you so much.

I'm running on fumes from Taiwan. I'm done. I'm out. All right. Thanks, everybody. Really appreciate it.

Yes. Okay. Great. Thanks. All right. Well, very excited to have Marvell join us. My name is Mark Lipacis. I'm the senior semiconductor analyst at Evercore ISI. And so today, we have Willem Meintjes -- hopefully, I'm getting that name right and who is the CFO; and then Ashish Saran, who is the SVP of Investor Relations. So there's a lot going on in your sector. So I think let's just get right to it.

But maybe just to start out with, you guys just reported last week and maybe if you take a moment and kind of summarize for everybody, like what do you think are the main takeaways?

Yes. Thanks. It's really great to be here, Mark. Yes, so we reported last week. And I think if you go back over the last several quarters, we've really established a different cadence here, and it's really driven by the market. What we've seen is the end markets that we're addressing continue to be extremely strong, and it's really driven by CapEx, right?

And so if you go back to September last year, we, for the first time, sort of indicated some longer-term numbers, right? And for the current year, we sort of took that number to $10 billion. And then outer year to $13 billion, right? And so in a subsequent quarter, we upped that from $10 billion to $11 billion, and then for the outer year from $13 billion to $15 billion. And then just last week, we've now taken it to $11.5 billion and to $16.5 billion for the outer year. And so we've been sort of very constantly been able to drive the supply chain with the upsides that we've been seeing on the demand side.

Yes. I think our interconnect business, in particular, is absolutely on fire. I mean that thing is growing at 70% plus for this year. I think within that, if you think about there's really 2 big underlying drivers. There's a scale-out business that's growing even faster, quite frankly. That's really our PAM DSP, TIA driver business. And then you've got scale across, which is just starting. It's going to get a lot bigger in the outer years, right? So that's -- the short to medium term from a revenue perspective looks very, very strong. And then I think what's even more exciting is all the engagements we are seeing a little bit further out in time, which I'm sure we'll get into today's call. But I would say that's equally exciting as well.

Great. All right. Thanks for the setup. So I think there was -- in Taiwan, there were some news, Jensen Huang said that you guys are the next $1 trillion market cap company. And I'm hoping that you can talk about that a little bit. And before you do, though, I'd like to ask or just reflect on the checks that we have done, which indicated over the last 6 months, we talked to about a couple of dozen sources amongst the hyperscalers. And very consistently across the group, what we heard is that Marvell is being viewed more as a more strategic partner supplier. And that's because you have the broad portfolio of IP. And this was coming through not just on the XPU side, but also on the networking side.

And so can you -- if you want to -- if you care to make any comments about this idea about where your market cap is going to go or the context that, that was put in? But if you could also just remind investors of the relationship you have with NVIDIA and NVLink fusion and to the extent that the checks that we have picked up on, which I believe Matt played back in your call, how that is working into that relationship also?

Yes. Maybe I'll start and Ashish can talk a little bit more about the NVIDIA relationship. But really, if you look at it over a longer arc, I think it's a real validation of the investments we've made and the relevance of connectivity, right? I think beyond that sort of narrow commentary from last night, I think the broader discussion was really how connectivity is driving compute and accelerated compute and the investments that we've made both organically and inorganically have really positioned us to be the leader in that space. And so as you've seen sort of these bottlenecks on compute and then memory, we're really seeing the next major bottleneck being on connectivity, and the technology to drive past that is really the investments that we've been making. And so we can get into more detail, but maybe you can talk a little bit on NVIDIA, Ashish.

Yes, sure. I think on NVIDIA, I think -- I mean there's really 3 big pillars to that agreement we just announced. The first one of them, of course, is a very long-standing relationship we've had on the optics market, primarily historically on the scale-out market, which is on the pluggable side. But now since scale-up optics, which we'll touch upon more later in today's discussion is becoming a much, much -- that's where most of the new differentiation is going to come from, they themselves have their own path they're pursuing. We, of course, are investing in that technology as well. And I think it just makes sense for the kind of the 2 leaders in this space to have collaboration in where does NPO, CPO go in the future, right? So think about optics as basically becoming a much broader relationship, building upon what we've been doing for them, but now really collaborating much more so on the new scale-up optics market. So that's kind of one pillar.

The second pillar, of course, is the one which I think got most interest and it makes sense is today, if you think about hyperscalers, they've really got 2 different infrastructures. They've got a completely merchant infrastructure, NVIDIA primarily, and then they obviously got custom. And they, too, don't talk to each other, right? So think of that in the long run, that's not how you want to build a data center. You want complete fungibility. That's where Marvell comes in, right, with our networking IP, our custom IP, where we have the bridge between both those worlds, right? So that's really a big part of the relationship, where now you can have hyperscalers being completely fungible in terms of how they design their network. They don't have to choose one or the other. They can choose both. So we see that as really opening a much bigger TAM for the 2 companies combined.

And the last one, of course, is innovation on the AI RAN infrastructure. We've been in that market for a very long time with our OCTEON processors, which help on the baseband side. And as you go from the world of 5G to 6G, you need a lot more capability, you want software-defined architectures, and that's where NVIDIA comes in. So we're building in hooks into our baseband processors where you can basically add NVIDIA solutions and very quickly, you can upgrade your RAN without reinvesting in building the base station from scratch. So it's a very important thing for our customers. So again, a very broad set of relationships, but we certainly see all 3 of them being very important for Marvell going forward.

I have to say in hearing you talk about that, it just reminds me when Matt Murphy first came to Marvell, and he said, I identified the top companies to acquire Inphi and Cavium. And if I think about the comments we heard from the -- we heard from our sources, the hyperscalers, this idea, this broad portfolio of products, it really seems that like that vision is playing out, right?

And can you take that to one -- maybe one layer deeper and just talk about like how is this idea, like, the broad portfolio? And I appreciate that the other thing that comes through when we talk to the hyperscalers is everybody has a completely different view on how the architecture plays out. So if you -- maybe you could just take it one layer deeper to help investors kind of sink their teeth into what is this idea of a broad portfolio mean? Why does that make you strategic?

Yes. I think maybe let's start in connectivity, and then we can talk about custom. But if you take connectivity, right, on the longest reach, we have a coherent portfolio, right, which -- this is sort of the DCI original sort of colors portfolio that was part of Inphi, and that Inphi really pioneered and developed. And so what we're seeing today is that technology starting to transform into a scale across opportunity, which if you look at the scale across opportunity over time, that's going to be a lot larger than the DCI opportunity. And we're investing to be the absolute leader there.

And so when you take that coherent technology and then you start sort of moving down inside the data center, there's reaches there where it's sort of too far for PAM technology, and we're able to do something that we're again pioneering on coherent-lite. Obviously, Inphi was famous for the PAM technology that when we acquired them. And we've continued to invest to be the leader on each generation going from 400 to 800 gig to 1.6T going to 3.2T next. And so I think one part there that we didn't necessarily talk about previously, but on the last call, we mentioned that if you look at the broadband analog, TIAs and drivers that's part of that portfolio, it's actually very significant. It's a $1 billion business for us.

And then you can kind of keep going down the stack on connectivity once you get inside the chip on die-to-die SerDes. And so this whole -- the entire stack from connectivity all the way from hundreds of kilometers down to millimeters, it's Marvell IP that's enabling that. And so when we look at the custom opportunity, maybe you can kind of tie that in.

Yes, maybe one other example where all the pieces come together is scale up, right? So if you think about when you want to build a scale-up network, there's 3 key components. There's a compute engine, the XPU. There's the interconnect, right, which is copper today going optical over time, and it's the switch. We have all 3 pieces, right? We build XPUs. We're investing in switches, and we have the leading photonics technology in the market.

On top of that, to your point earlier, that each hyperscaler is looking at multiple different alternatives, this is where our breadth of technology and investment lets us do multiple flavors. So we're not making a bet on any one single thing. In optics, we basically have 3 different modulator technologies for doing essentially scale-up optics. It's MRM, Micro-Ring; MZM, Mach-Zehnder as well as EAM. We're also investing in even more exotic technologies, whether it's microVCSEL, it's microLED. So pretty much all options on the optical side are available. Even on copper, we can do co-packaged copper if that's what customers want initially as they go towards NPO, CPO.

Similarly, on the protocol side, on the switch side, we're not restricted to offering one type of technology. We have a UALink switch coming out now. It's 115T product. We have an ESUN product, which is based on a 100T platform. And of course, with the whole discussion we had earlier with NVIDIA, we have full access through us through NVLink platform.

So I think that's the idea when you really think about having end-to-end, really having all the pieces. Scale-up is almost a perfect example where a customer can work with us on the entire rack-scale infrastructure upfront. We can design all the chips for them, the entire signal path and give them different optimization paths, which is a fairly unique ability. There's not that many other people which you can do it in the world today.

How is the -- you talked about the optical engine, the Celestial AI. Where are you in the development cycle? How should we think about like the milestones? Are our own checks are indicating excitement around this and the potential for this to be huge for you guys. So like how should investors think about Celestial AI and where it is?

Yes. So I think, first of all, I think if you just step back, there's this category of scale-up optics, right? And so Ashish was talking about, there's a bunch -- a whole range of different technologies enabling scale-up optics that we're investing in. So certainly, Celestial is one of them. But at the same time, we're doing CO-OP technology, MRM with TSMC, where we have MZM, right? That's the photonics engine that's been in our DCI product for a long, long time. And so both NPO, CPO, we're playing in all these different technologies.

And so the update that we gave on the last call was that initially, when we said -- when we acquired Celestial, we said $150 million for next year. And we've updated that to incorporate the whole category and actually doubled that number to $300 million, but that includes all the different go-to-market.

And so Celestial is on track. We're also very much excited about that opportunity, but the opportunity is a much larger opportunity. And going forward, we're really updating on the overall scale-up optics opportunity versus just the specific.

Yes, the Celestial product is basically -- it's well past development. At this point, it's really entering a manufacturing cycle. We've lined up sources of supply. This is really going towards -- I mean, basically, it's going to be in production essentially next year. So it's well advanced on its path to get into production. So that revenue for next year still stays where we suggested last time. But then, of course, to your point, that ramps very significantly as you go from calendar 2027 to calendar 2028.

So is this the $500 million bogey?

On a quarterly basis, exiting the year next year, it's still $500 million, and it doubles to $1 billion exiting the year following year. So if you kind of work your way through the math, it's basically saying over this roughly 1.25 years time frame from the start of production. It's about $1 billion in revenue, plus or minus. And that's just the very, very beginning of this scale-up ramp. And then on top of that, we would get revenue, as Willem mentioned, from a broader set of scale-up optics solutions, which we have, including our light engine as well as some of our TIAs and drivers.

And Celestial AI, there's -- there haven't been production revenues, as I understand yet, but there's been 4 generations of the product. Can you just talk about the develop because I think there's a set of investors who are concerned about how can you project that kind of revenue when we haven't seen it yet?

Yes. I mean you should think about that this technology was actually demonstrated several years back. So -- and you should imagine that the lead customer went through a very, very extensive bake-off process, right? With very heavy technical detail, getting physical product in their hand because that is basically their scale-up optics, one of the key solutions they need going forward.

So in this case, it's not like what we tell you, it's basically where you've got a very large hyperscaler, which has gone through that bake-off process, and this is what they picked. I think that's probably the best validation of that particular technology. And at this point, we are -- like I said, we are well beyond -- this is in a productization phase, where we've lined up basically capacity for volume manufacturing essentially starting fairly soon.

Got you. If we could shift over to the XPU, the ASIC business. The news flow, I think, on this business has been the bane of your existence in a way. And I think there's confusion about what you guys do and what other suppliers in this market -- or claimed to be suppliers. Can you help us understand what is that -- I guess, like we think about you guys as an IP business, how should we think about the competitive landscape? There's companies in Taiwan, like what do they do? What do you guys do differently? I think a lot of people understand what Broadcom does. Like how should we think about -- clear up the confusion for once and for all.

Every time. Once and for all, every time.

This time, it's going to happen.

Let me just frame the size of the business for a second and the puts and the takes, and we can kind of get into the more technical piece. But I think the first piece is that we said that, that business is going to grow over 20% this year. So from $1.5 billion to, let's just use round numbers, $2 billion and then, over double the following year. So rough math, $4 billion plus, right?

And we've actually given quite a bit of granularity on the drivers for that growth where we basically said 1/3 is from our current program, 1/3 is from the new XPU program -- XPU attach programs that are ramping, and that's actually 10-plus programs that are going into production or will be in production next year and then 1/3 from the new XPU program.

And so the key point there is that this custom business has actually become quite diversified. There's multiple growth drivers, multiple engagements. And what we've seen is if you look at the XPU attach part, that's CXL and NIC. And when we spoke about that originally, we saw those sort of going to $1 billion each in the outer year. And that's very much on track to sort of get there or even more than that. I think we've seen those attach areas just become more and more relevant. And so...

Yes, maybe in terms of what we do, which is a little different than I think, look, there's companies like us, which is the reason why companies are coming or customers are coming to us is because there's a lot of our interconnect technology, the entire discussion we had for the last 15, 20 minutes or so, which is very relevant when you build large complex XPUs. These XPUs are no longer monolithic single-chip devices, right? These are basically multiple compute die, HBM stacks. You need high-speed SerDes, you need die-to-die interfaces, you need custom HBM interfaces, you need much more optimized custom SRAM for much higher packing density, you need advanced packaging. And those are all the things we do for our merchant business. So the reason we're in the custom business is actually because of the expertise we've established from our merchant business. And those capabilities are very important to some of our XPU customers.

Now when you build a chip, there's an IP portion, which is what I discussed, which is kind of more considered kind of front-end design. But right at the end of the process, there's also a process where you have to go through a back-end process and do like basically layout, which is physical design, right?

So I think some of the companies you're thinking of some of the design service companies have an important role in the ecosystem, but they don't have IP. And the reason they don't have IP is because they don't have a product business, right? So that's the real clear distinction is if we are engaged in a project, it's because our networking IP is what the customer is looking to access and build into the XPU or XPU attach versus when they're partnering up with somebody in the design services side, it's more of a relationship of the design is done somewhere else and essentially, you need someone to do the last part of the process, which is physical design. That's really the clear distinction, I would say, between the 2 business models.

And the traction that we're seeing is really a reflection of that. I think ultimately, when you go through all this [ threads ] and you get out to the other side where we are today, we've seen a massive increase in engagement on the amount of opportunities that we have. And just on the last call, we said we've actually won multiple additional custom design wins, right? And so really, this differentiation in IP is we're seeing that show up in the amount of traction that we're having with the customers.

So may I ask what -- I mean this is -- it seems to me that this is IP that you've had, but it seems like it's like in the last 6 months where our field work is telling us that you're seeing an inflection. And Matt talked about that on the call last night. So what has happened recently?

It's basically -- it's what you're seeing happen in the world of AI, which is that the rate of acceleration is increasing. The complexity is going up. Again, scale-up is a great example of it. Scale-up networking outside of one player didn't really exist at this point in time. But if you look for the next 2 to 3 years, you're looking at much higher densities. You're looking at much more complex inference in an example. You're hearing about agentic AI today. All it's doing is driving a lot more traffic. You need to disaggregate your memory at this point. You need a lot more traffic between XPUs. All of that is, again, back to networking IP.

So yes, there's a reason why you're hearing what you're hearing because all the IP we've developed and we ship in our merchant products is absolutely critical. Kind of goes back to your first question, by the way, like why did we get called out? This is the reason why we got called out is because the role of networking is absolutely critical going forward.

Yes, that connectivity thread that goes all the way through, right?

So the market is coming your way, basically.

That's correct.

Yes. I mean we've had this thesis for the last decade, and that's driven all the investments that we've made. And I think the interesting thing is that what we've been saying has been very consistent.

Yes. And by the way, it's not just the market is coming our way. I think what's also happening is as you go to these longer reaches, higher speeds, higher densities, the market is coming our way on the optics side. And that's an area where we started a long time back.

I think one of the key things when you look at do you not just have all the pieces, when did you start assembling those pieces? It's not something you wake up today and go license IP and go build a product. These are things you have to invest in 5 years or 10 years.

When you engage with these large customers, they're looking at where will you take them not just today and tomorrow, it's what's your road map look like? And do you have data? Do you have field data, which says you've done it and it works? I think that's the other thing to keep in mind.

So I think the shift toward optics in particular, is going to be very beneficial. I mean this is -- we started down this path with Inphi, but we've added more capabilities, right? Very recently, Celestial is one example. We're looking even further out. We acquired a company called Polariton, clearly a pre-revenue company. But they've got some very unique technology, which can take modulators to speeds which are roughly up to 10x higher than current technology. So we're looking out where does this market go in the next 5 to 10 years, and optics is a massive differentiator for us.

Got you. Now Will, you mentioned the XPU attached design wins. And I think Matt mentioned on the call that the forecast continue to come in higher than expected, if I didn't capture that.

No, you got it right.

Spirit correctly -- please do correct me. So we have a -- the other checks that we've done over the last 6 months indicated led us to this called CPU renaissance, where you have more CPUs because of first, inferencing and now agentic AI, you have a change in the CPU to GPU ratio. And I think you guys mentioned this on the call as well.

To what extent are these XPU attached business or sockets that you have? Is it NICs and CXL controllers? Is it all that? And is it correct to say that these all get attached to CPUs that go into AI servers? Like how could we qualify this business?

Yes. I think, first of all, clearly, there's an inflection, right, in terms of like the CPU attached to GPU, right, that rate. It's very dynamic, right? I think the technologies that we have are clearly attaching to some of that. But exactly how that plays out, I think it's not necessarily built into what we've communicated, right?

I think as you look at CXL and you look at the memory wall, that's very relevant as you scale these CPUs. And so certainly, I think that is a significant opportunity, both not just CXL, but on PCIe, on PCIe switch and retimers. If you look at just the amount of data that's getting moved, there's sort of the MOE and then this is agentic and quantifying the impact of agentic, I think that's still very much ahead of us here.

Yes. But the products are very, very similar to your point. I mean if you look at our revenue stack we outlined, call it, in '28, where we said in that $10 billion, at that point, we said $3 billion-ish plus or minus is going to be coming from XPU attach. The 2 biggest pillars of that essentially, each $1 billion plus was CXL and custom NICs essentially.

And if you think about the simple -- if you're going to have more CPUs, just very direct, you're going to need more NICs, just flat out. And if you're using this primarily for inferencing, you're going to have these longer context windows in inferencing, you need a lot more KV cache data. You're going to need more CXL essentially, especially today where DRAM prices are high and capacity is very tight. So I would absolutely expect -- the numbers we've outlined so far don't really include the agentic impact, just to be clear, because that's all happening now. So the revenue we had outlined was things we had already seen based on attaching to XPUs.

Now with agentic, more CPUs, you should expect to see more upside on those. And by the way, it's very similar products. In fact, if you think about it, CPUs in the last few years were designed with CXL already in mind. They just never used them because all the oxygen went to GPUs in this whole AI cycle, but now the tides kind of reversing a little bit, right? So yes, I think there's certainly a lot of excitement around this, and the attach rates can be actually very, very meaningful for us.

And is the XPU attach -- is it all NICs and CXL? Or is it...

There are some other products there.

How can you qualify this?

So think about XPU attach at a very high level as an offload device. You're trying to basically maximize your central compute device for its core function. This is no different than if you go back years back, right, where you started creating NICs to minimize I/O of the server CPU, same idea essentially.

CXL and NICs are the 2 large examples, but there's a couple more we can identify where we have design wins going into production. One certainly would be storage accelerators because while we are discussing memory as CXL, there is storage, right? So you're basically -- whether it's SSDs or HDDs, right, instead of having the core CPU, XPU address them, you'd rather do it for a dedicated device. So that's a storage accelerator.

And the last one is the security offload device, right? This is a unique product for Marvell. This comes from the Cavium acquisition. We're one of the only companies building dedicated security accelerators, and this is a perfect use case, again, optimized for different hyperscalers, right?

And again, the idea is as more and more companies and enterprises -- take Marvell, we don't go buy our own AI infrastructure. We're using AI as a service, but I want to make sure my data when I put it into a cloud network is encrypted. You can certainly do encryption/decryption on a standard XPU or a standard CPU, but why would you? You'd much rather do it on a dedicated device. So that's another example, which is again going to be a fairly large opportunity for us.

I want to kind of shift gears to the DSP business, which has been a great business for you guys. How do you anticipate your share position to evolve as the market kind of shifts from 800 gig to 1.6T to 3.2T over the next several years. Is the competitive landscape changing?

Yes. I think when we acquired Inphi, there was always this expectation that we're going to lose market share. And frankly, Mark, it just really hasn't happened, right? I mean the teams executed really, really well on investing and being first with each technology. And we continue to see that.

Now the market has become so much bigger that clearly, there's a lot of investment and there's a lot of competition. And so at our scale, is there a potential for somebody to take some small amount? Certainly, that's the case. But we're continuing to drive absolutely very, very strong majority market share across each one of these generations. And the team is ensuring that, that continues.

I mean if you look at 1.6T that actually went into production last year, it's become very significant this year. And 800 gig is still growing. But if you look across into next year, we're going to continue to have very, very, very strong share.

I think the basis of competition in these markets is always were you first to market? Did you have the first solution? And that's been the case in every single generation of PAM4, no different at 1.6T.

The second, of course, you can see it in the numbers. I mean we outlined for this year. We're going to grow at 70% plus interconnect. Within that, scale-out is growing faster, right? And then again, we said next year, we will again substantially outgrow cloud CapEx from an interconnect business. And again, the largest part of our interconnect business is our PAM DSPs. And next year, in particular, 1.6T is a huge part of it. So -- and the reality is I don't think we see anything significantly different. I think we've had a leading position. I don't really see that changing going forward.

I think from our standpoint, it seems like you're planning for billions in annual revenues from hundreds of millions last year for 1.6T. How should investors think about the mix of DSPs versus TIAs versus drivers? You have good products in all these buckets. How do we think about those different elements?

Yes, I mean...

How -- where they work together, if that's fair to ask?

Sure. So DSPs would still be the largest portion of our entire interconnect revenue, but it is getting a lot more diversified, right? So if I go back -- and this is all the information we provided a couple of quarters back. If I go back to like last year, our total business in interconnect was about half of data centers, call it, roughly $3 billion. And within that, we said about $0.5 billion was scale across and the remaining essentially was scale-out, which was dominated by DSPs.

Now that business is going to go from $3 billion to 70% plus this year, right, and then outpacing cloud CapEx, you guys can run through your model, you'll end up with a very large multibillion-dollar DSP business. But at that point in time, to answer your question, we also said scale across will also be a $1 billion business. And then TIAs and drivers will also become a $1 billion business. So the business gets very diversified, but obviously, DSPs, given the volume, given our market share position, one would expect will remain kind of the majority.

Specifically, I think it was underappreciated like the size of our TIA and driver business. So we wanted to sort of at a point in time, just break that out for investors so that you can kind of see the scale of that. We'll probably not break that out too regularly. But I don't think most people understood just the scale of that business today.

That was from Inphi. That's a...

That's -- in fact, that is the original Inphi business, right? When they started down, this was before PAM DSPs, right? So the original business from Inphi was actually building these analog components, right? And that's been a critical differentiator. Obviously, with the takeoff in PAM DSPs and that business became kind of the face and it still is. But the reality is it's a lot more diversified. And it's also a key component of technology required for scale-up optics going forward. It's not just scale out.

Got you. How is -- so everything is growing very nicely, right? How do we think about supply constraints here? And maybe starting here, how do you characterize the supply -- laser supply for you guys?

Yes. Maybe just talk about the general and we can talk specifically about laser. I think we spoke about it on the call last week a little bit, but we've really instituted a very rigorous process where we do like a 5-year forecast. And what we do is really proactively share that with our supply chain so that they have visibility to our growth trajectory.

And I think that's been critical in terms of allocation where when you look at like a year like this year, we've been very consistent in terms of what we've seen in terms of demand and how we've communicated that. And so Chris and team have really -- and you can see the progression here over the last couple of quarters. They've done a great job at securing supply, specifically in relation to those forecasts that we were providing.

Yes. I mean supply has been tight. I mean that's worst-kept secret out there. But having said that, I mean, just look at the upside we're driving this year and next year. So I think we've got -- done a pretty good job. I mean take our data center business. We grew at like mid-40s last year. We're going to grow 50%, so accelerate this year. In a tight supply environment, we're going to accelerate even more next year. So I think that gives you a good sense of -- I think we've got a pretty good handle on it. I think we have a very good understanding. We triangulate demand, make sure we serve it well. And I think we've actually done pretty well on the capacity side.

I think in terms of lasers, I mean, I think as far as I can tell, our customers are able to get as much as they need. No one is saying the data center is not going up because they're not on lasers. Would they like more? Of course. But I would just say, I don't think that's a huge constraint in the near term. But given what you're going to expect to see and scale up optics, I think it's important the industry keeps investing in it because the demand for like external laser source is going to absolutely explode. So I think it's a good question, especially in the longer term, where the industry does need to keep investing in it. But look, this is capitalism 101, right? There's an opportunity, people will invest. And I think over time, I think we'll be in pretty good shape.

Does vertical integration make sense on -- for this component for you guys?

I think at this point in time, I think we feel pretty good about the way the industry is set up, right? I think we focus on what we do extremely well, which is build DSPs. Having said that, I think there are places we've built modules. Our DCI business, we actually build the entire module given the complexity of the product. But in general, I think our focus is on silicon. That's where we differentiate. And I think there's other partners out there which are very focused on that particular part of the ecosystem.

Is the -- it looks like we ran out of time. We're going to go a little bit longer, if that's okay with you guys.

Sure.

The -- how should we think about the long-term data center interconnect revenue opportunity? I think Matt previously indicated the TAM is going to expand 5x by 2030. Does that include the more recent commentary as it relates to like the scale across DCI TAM that's got 10x higher bandwidth than the front end? How do we how do we think about that business?

Yes. I think your last comment is really -- I think, the key there where the amount of data on connecting the back end and a scale across network is multiples higher, right? And so that's where the 10x number comes from. And so to be able to address that amount of data, clearly, that market needs to be a lot bigger, right? And so we've, again, pioneered the technology there. And so our expectation is to sort of continue to maintain a really high market share as you see that market develop on scale across.

Yes, I think the TAM numbers are probably going to keep floating up, Mark. I mean, I think, if I compare it to what we said like 2 years back, and that's not just a comment on the fact, yes, clearly, CapEx is higher than we thought it is. So that tide lifts all boats. But I just think that the sheer complexity of the network, right, with agentic, with mixture of experts with all of these different inferencing models is just a lot more than what we all thought even just barely a year or 2 years back, right? And scale across, we're at the very, very beginning stage of it, right?

I mean, today, I would say the majority of the market is still DCI front-end connectivity. I think the first scale across meaningful revenue really probably starts next year, maybe a little bit this year. One of the key things you need for scale across is customers really want to go to 1.6T. Today, most of the market is more like 400, 800 gig. But think of scale across as just taking your existing scale-out network and just stretching it across a much longer reach. But it's the same amount of data, which is what drives our PAM DSP business today, just to give you a sense of how large this can be. And you want the same bandwidth, right? So this needs to be 1.6T, which is why we pulled up our road map, came out with our 1.6T DCI module pretty soon. It's going to be sampling second half of this year with a 2-nanometer coherent DSP first to market. So pretty unique position there.

So I think we have the mayor coming in next, and I'm getting the signal from our organizers that it's time for us to wrap up. So that will have to be the last word.

Great. Thanks, Mark.

Willem, Ashish, thank you so much for joining us today and for all the great insights.

Thanks, Mark. Appreciate it.

Appreciate it. Thank you.

Good afternoon, and welcome to Marvell Technologies First Quarter Fiscal Year 2027 Earnings Conference Call. [Operator Instructions] Please note, this event is being recorded. I would now like to turn the conference over to Mr. Ashis Saran, Senior Vice President of Investor Relations. Thank you. You may begin.

Thank you, and good afternoon, everyone. Welcome to Marvell's First Fiscal Quarter 2027 Earnings Call. Joining me today are Matt Murphy, Marvell's Chairman and CEO; Willem Meintjes, CFO; Chris Koopmans, President and COO; and Sandeep Bharathi, President Data Center Group.

Let me remind everyone that certain comments may today include forward-looking statements, which are subject to significant risks and uncertainties that could cause our actual results to differ materially from management's current expectations. Please review the cautionary statements and risk factors contained in our earnings press release, which we filed with the SEC today and posted on our website as well as our most recent 8-K, 10-K, 10-Q and other documents filed by us from time to time with the SEC.

We do not intend to update our forward-looking statements. During our call today, we will refer to certain non-GAAP financial measures. A reconciliation between our GAAP and non-GAAP financial measures is available in our earnings press release.

Let me now turn the call over to Matt for his comments on the quarter. Matt?

Yes. Thanks, Ashish, and good afternoon, everyone. For the first quarter of fiscal 2027, Marvell delivered record revenue of $2.418 billion, reflecting 9% sequential and 28% year-over-year growth. Revenue exceeded the midpoint of guidance, and as a result, non-GAAP earnings per share of $0.80 exceeded the midpoint of guidance by $0.01. We are seeing strong demand and exceptional bookings across our entire data center portfolio. .

This robust demand is reflected in our guidance for the second quarter of fiscal 2027, where we expect total company revenue to grow 12% sequentially and 35% year-over-year at the midpoint to $2.7 billion. On our earnings call last quarter, we indicated that beginning in Q2, we expected quarterly revenue growth throughout fiscal 2027 to trend in the high single-digit range sequentially on a percentage basis. Q4 revenue exiting the fiscal year at approximately $3 billion.

We are now guiding Q2 revenue to grow double digits sequentially, and we expect Q3 and Q4 revenue to also grow by at least 10% sequentially. As a result, we now expect $3 billion in quarterly revenue in Q3, one full quarter ahead of our prior outlook. We also continue to expect year-over-year revenue growth rates to accelerate each quarter throughout fiscal 2027, reaching approximately 50% by Q4.

As a result, we now expect overall Marvell revenue in fiscal 2027 to grow approximately 40% year-over-year to nearly $11.5 billion. The increase in our revenue outlook continues to be driven by our data center business, which we now expect to grow approximately 50% this fiscal year. Notably, we expect our interconnect business to grow more than 70% year-over-year, well above our prior expectation of 50% growth.

I will provide additional color on our interconnect business later in today's call. For our communications and other end market, we continue to expect revenue growth of approximately 10% in fiscal 2027. Now looking ahead to fiscal 2028, while we are planning for the rate of cloud CapEx growth to moderate into the 30 plus -- the 30% plus range, we expect strong data center revenue growth for Marvell to continue.

We expect our interconnect business to continue to outpace cloud CapEx growth, reflecting strong 1.6T demand from scale-out networking and more meaningful contributions from scale up and scale across networking. We now expect our custom business to more than double year-over-year in fiscal 2028, higher than our prior outlook and expect our Ethernet switching business to continue ramping.

As a result, we expect data center revenue in fiscal 2028 to grow approximately 55% year-over-year, accelerating from fiscal 2027s projected growth rate. For our communications end market, we continue to expect low single-digit percentage revenue growth in fiscal 2028 consistent with our prior view. In aggregate, we now expect overall company revenue to grow approximately 45% in fiscal 2028, off a higher fiscal 2027 base.

As a result, we now expect Marvell's fiscal 2028 revenue to reach approximately $16.5 billion, roughly $1.5 billion higher than the outlook we provided on our earnings call last quarter. This outlook is supported by demand trends we are seeing today and by programs already in execution. Our investments in securing supply are paying off, enabling us to scale the business every quarter.

As we move through the fiscal year, we expect to remain closely aligned with our customers as they continue investing aggressively in AI infrastructure. Now let me turn to the expanded partnership we announced with NVIDIA, which reflects the growing importance of high-speed connectivity, optical interconnect and accelerated infrastructure in scaling AI.

The collaboration connects Marvell's custom silicon and optical networking capabilities directly into the massive NVIDIA ecosystem to help build scalable, highly efficient AI data centers and telecommunications networks. There are 3 core pillars of this exciting announcement. First is our Optics partnership. Marvell has long been a key supplier of DSPs, TIAs and drivers, and we are now extending this relationship to collaborate on silicon photonics technology, which is expected to be a key enabler of scale-up networking.

Second, NVLink Fusion integration. This allows Marvell to build custom chips and networking semiconductors that can seamlessly interface with NVIDIA infrastructure. It increases choice for hyperscalers who will now have complete flexibility to mix and match custom emerging capabilities across their platforms, with Marvell uniquely providing the bridge between these 2 architectures.

We expect this to create new market opportunities for both Marvell and NVIDIA going forward. The third is AI-RAN. Marvell will enhance its existing OCTEON base station processors to work directly with NVIDIA GPUs, integrating AI with wireless infrastructure on a single, software-defined computing platform. This will enable telecommunications operators to run both 5G and 6G radio workloads and high-performance AI applications concurrently on the same hardware.

Since the announcement, both teams are off to the races, and we are working closely together to realize the benefits of this collaboration. We deeply appreciate the partnership and the investment from NVIDIA. Okay. Let me provide more color on our current business, beginning with data center.

In our data center end market, we delivered record first quarter revenue of $1.83 billion, representing 11% sequential growth and 27% year-over-year growth. We achieved sequential and year-over-year growth across multiple product lines, including optical interconnect, custom silicon and switching. Looking ahead to the second quarter, we expect data center revenue growth to accelerate into the mid- to high teens sequentially on a percentage basis and into the mid-40% range year-over-year.

Our networking products, including interconnect and switching, are driving strong revenue growth as networking becomes increasingly critical with each new generation of AI infrastructure. Now in the early stages of generative AI, the primary focus was on addressing compute and memory bottlenecks. As more complex architectures such as reasoning modules and mixture of experts have begun to deploy, the role of networking has become significantly more important and this is the key driver of the increased demand we are seeing today for our scale-out networking products.

Now what is completely in front of us is the massive expansion expected in scale-up networks as these domains become significantly larger, requiring high [ radix ], low latency switches as well as high bandwidth optical interconnects. In addition, these new AI models are also driving innovation and memory architecture, which we expect will benefit our XPU attach business. We expect the emergence of agentic AI to further supercharge demand for our scale out, scale up in XPU attach businesses.

In agentic AI, a single user request may require agents to query AI models many times rather than just once as in traditional one-shot inferencing. These queries may also be routed to different parts of the AI cluster to complete a single task. This substantially increases the volume of data traffic that must be transmitted and switched with very low latency across longer reaches as well as the amount of memory required. Agentic AI is also expected to drive a significant increase in the number of CPUs deployed in AI infrastructure. More CPUs require more NICs, PCIe switches and retimers as well as greater bandwidth and CPU-centric front-end networks.

As a result, we believe agentic AI can provide another significant tailwind for our interconnect switching and XPU attach franchises. It's increasingly clear that optics is the future of data center connectivity, and we continue to invest aggressively in our technology platform to extend our leadership in this rapidly expanding market. Our late addition is the acquisition of Polariton, a developer of high-speed, low-power plasmonic-based silicon photonics devices. Plasmonic offer meaningful advantages over traditional silicon photonics by enabling substantially higher modulator bandwidth which is critical for support faster optical transmission speeds.

Polariton has already demonstrated Plasmonic modulator bandwidth exceeding 1 terahertz up to 10x higher than current silicon photonics and thin-film lithium niobate-based solutions. We are excited to incorporate this breakthrough technology into our DCI and coherent light road maps, extending our technology platform to 3.2t and beyond.

Let me now pivot back to the near term and discuss trends we are seeing across both our established data center businesses and our newer growth initiatives. I'll organize the discussion into 3 categories: interconnect switching and custom. I'll start with interConnect, which represents the largest portion of our data center business. Demand for our interconnect products continues to accelerate. And as a result, we have increased our fiscal 2027 revenue growth expectations for this business to more than 70% year-over-year.

Interconnect is also a major driver of the higher fiscal 2028 company revenue outlook we provided today. We are benefiting from our leadership position across the industry's broadest portfolio high-speed connectivity solutions, spanning scale out, scale across and scale up networking. Within our scale-out PAM franchise, demand continues to strengthen for our 800 gig products while our 200 gig per lane 1.6T solutions are ramping quickly this fiscal year following their production launch in the second half of fiscal 2026.

We expect 1.6T revenue to take another substantial step up in fiscal 2028. We continue to benefit from the first-to-market cadence we have maintained across successive PAM4 generations. We also expect to maintain leadership into the next PAM4 generation with 400 gig per lane technology, which we demonstrated first at the Optical Fiber Conference in April 2025.

In addition to our DSP franchise, we have also built a formidable position in broadband, analog, TIAs and drivers. This business is scaling rapidly, and we expect quarterly revenue of TIAs and drivers to exceed a $1 billion annualized run rate in the next few quarters. To support campus-wide data center architectures requiring longer reach than traditional PAM solutions. We were the first to introduce coherent light products to the market. These solutions are optimized for applications spanning 2 to 20 kilometers within an extremely low power envelope as compared to traditional coherent DSPs.

Over time, as speeds continue to rise, we expect coherent light to penetrate deeper inside data centers, complementing PAM-based solutions for shorter-reach applications. We've already begun shipping the first generation of our coherent light 200 gig per lane 1.6T products. We are now introducing next-generation coherent light products featuring integrated MACsec security as well as higher speed capabilities.

Turning to DCI. This market is undergoing a major architectural transition driven by the emergence of scale across networks, which we believe will significantly expand the opportunity for pluggable DCI modules over the next several years. Marvell pioneered the pluggable DCI market, where the original use case was driven by hyperscalers replacing public WAN connections for intersite connectivity using pluggable modules, with traffic between data centers originating primarily from traditional front-end networks.

This has become a highly successful business for Marvell and today, we shipped DCI solutions to all 5 major U.S. hyperscalers. What is now changing is the push to build significantly larger AI clusters, which increasingly must span multiple data centers due to power and space constraints. In these architectures, the back-end AI network must also extend between the data centers, creating the scale across use case where massive amounts of data move continuously between XPUs during AI workload processing.

Aggregate bandwidth requirements for scale across networks are projected to be more than 10x higher than those of current front and DCI networks. As a result, industry forecasts project a pluggable DCI TAM to grow significantly by rapidly increasing speeds and rising future complexity, including integrated MACsec security. while traditional DCI networks today primarily deploy 400-gig solutions and are now transitioning to 800 gig, scale across architectures are expected to rapidly adopt 1.6T connectivity.

Marvell is exceptionally well positioned to lead this transition with the industry's first secure 1.6T ZR and ZR+ DCI modules powered by our new 2-nanometer coherent DSP announced earlier this year. These modules are expected to begin sampling this year. This position Marvell to extend our technology leadership into the emerging scale across market, supported by our proven expertise in high-volume manufacturing of these highly specialized and complex modules.

Our leadership position here is translating into strong revenue momentum for our DCI module business, giving us line of sight to a $1 billion annualized revenue during fiscal 2028. This would represent approximately double the revenue we achieved in fiscal 2026 when the business generated roughly $500 million in revenue. As scale of cross deployments become a larger portion of the market, we expect growth in our DCI business to accelerate further. Let me now transition to scale-up optics.

Scale-up Interconnect represents one of the newest and most strategically important opportunities emerging in AI infrastructure. Marvell is uniquely positioned to enable both NPO and CPO implementations with a broad silicon photonics platform spanning all 3 mainstream modulator technologies, including MZM, EAM and MRM, fully supported by our market-leading broadband analog TIAs and drivers. We are also investing in emerging approaches such as micro LED and [ micro Voxel-based ] solutions. Marvell has already shipped more than 1 million DCI modules powered by our silicon photonics over the past decade.

Across 4 generations of silicon photonics deployments, we have accumulated more than 15 billion hours of field data with demonstrated world-class reliability. We have leveraged this experience in developing our silicon photonics-based light engines, and we are deeply engaged with multiple Tier 1 customers with our third generation 6.4T light engine for NPO and CPO implementations. Our acquisition of Celestial AI added photonic fabric technology, including EAM modulators in the industry's leading low-power analog SerDes. The solution has already been selected by a Tier 1 hyperscaler for its next generation of XPU scale-up networks.

The full strength of Marvell's engineering and operations organization is focused on bringing CELESTIAL's first-generation chiplet into high-volume manufacturing. We are also making significant progress with MRM-based scale-up interconnect solutions. We completed our MRM device demonstrations last year and continue to continue -- I'm sorry, continue to collaborate closely with TSMC on its Coop platform.

We believe scale-up interconnect represents a massive new TAM that will likely be served by multiple photonic technologies and architectures, and we are investing aggressively to establish leadership across all of them. We are seeing market adoption accelerate from multiple CPO and NPO engagements. And as a result, we expect our scale-up optics business to ramp significantly next fiscal year, with revenue forecasted to more than double our prior outlook of approximately $150 million, which was based at that time solely on Celestial AI.

Turning to data center switching. We continue to benefit from sustained demand for our 12.8T and a strong ramp up of our next-generation 51.2 T switches for scale-out networking. We are seeing strong engagement for both existing and new customers for our 51.2T platform as well as our 100 platform which we believe delivers industry-leading power efficiency and low latency, attributes that are increasingly critical for AI infrastructure.

And our engineering teams are already executing a road map towards 200T Ethernet switching and beyond. Given this momentum, we expect scale-out switch revenue in fiscal 2027 to exceed $600 million, doubling from fiscal 2026, and we currently see the business tracking to more than $1 billion in annualized revenue in fiscal 2028. The Scale up switching is an emerging market where we have significantly increased our investment, both organically and through the acquisition of XConn which substantially expanded our team and capabilities. While some customers are currently deploying PCIe switches for their current generation of scaleup networking, the ratings and bandwidth limitations of PCIe are expected to drive a rapid transition towards purpose-built, large ratings, high-bandwidth UALink, ESUN and NVLink solutions.

Marvell is uniquely positioned to support all of these scale-up protocols through our internally developed UAL and ESUN switches as well as our expanded partnership with NVIDIA around NVLink Fusion. We currently have multiple engagements with Tier 1 customers for our scale-up switch portfolio. Given the size of the scale of TAM, each of these engagements represent a multibillion-dollar lifetime revenue opportunity.

We believe we are exceptionally well positioned in this market, leveraging decades of extensive experience developing large reticle size switch silicon as well as our in-house best-in-class high-performance series technology. Now let me touch on a few additional growth opportunities in data center.

In the AEC market, we are seeing strong interest in our golden cable program, and we have already secured design wins with 3 Tier 1 U.S. hyperscalers along with several other customers. We are also seeing strong traction for our retimer products. Both AECs and retimers are now ramping, and we expect combined revenue to more than double year-over-year in fiscal 2027 and continue growing rapidly in fiscal 2028.

The acquisition of XConn also advanced PCIE and CXL switch solutions to our portfolio, and we are seeing strong interest in our PCIe Gen 6 and CXL 3.1 solutions. Marvell is well positioned in both of these markets to provide customers with complete end-to-end solutions and reference designs consisting of our PCIe switches paired with retimers as well as our CXL switches paired with our memory expanders.

Okay. Turning now to our custom business. Custom revenue remains on track to grow more than 20% year-over-year in fiscal 2027, led by our flagship XPU program, which we expect to drive multiple years of growth across multiple generations. Several XPU attach programs are also ramping in fiscal 2027, including our CXL and NIC products. Looking ahead to fiscal 2028, we now expect custom revenue to more than double year-over-year, which is higher than our prior outlook. The growth is expected to be driven by 3 primary factors, including: first, continued growth from our existing custom programs, including our flagship XPU. Second, over 10 XPU attach programs reaching high volume -- higher production volumes with demand continuing to exceed prior forecasts, particularly in NIC and CXL memory attach use cases driven by increasing inference KV caching requirements.

And third, the ramp of our new Tier 1 XPU program into volume production. This program continues to progress very well through development, and we already have firm requirements in place for all of next fiscal year. Since last quarter, we have won several new designs as customers continue to expand their adoption of custom silicon. We expect these new sockets to begin contributing incremental revenue following their typical development cycle of approximately 2 years.

The level of custom engagement with key customers remains unprecedented, and we continue to be deeply involved in a broad set of significant additional opportunities. We remain confident in achieving our target model for our custom business to deliver on over $10 billion in revenue in fiscal 2029. Turning to our communications and other end markets. We delivered first quarter revenue of $585 million, up 3% sequentially and 29% year-over-year.

For the second quarter, we expect revenue to decline in the mid-single-digit range sequentially on a percentage basis, while growing in the high single-digit range year-over-year on a percentage basis. The communications and other end market has now largely recovered from inventory corrections at our customers. And going forward, we expect revenue in this end market to broadly reflect the underlying trends in our enterprise networking carrier and consumer businesses.

In summary, our business continues to accelerate, and we have increased our revenue outlook multiple times over the past several quarters. Today, we are again raising our outlook, increasing our fiscal 2027 revenue forecast by more than $0.5 billion, and our fiscal 2028 outlook by approximately $1.5 billion versus the projections we provided last quarter.

Our data center revenue grew 46% year-over-year in fiscal 2026, and we are now projecting growth to accelerate to approximately 50% in fiscal 2027 and accelerate again to 55% in fiscal 2028. Our customers continue to signal robust demand, not only for this year but for the next several years. Our results and outlook reinforce our confidence that Marvell is in a strong multiyear growth cycle with substantial runway ahead.

Now today, we sit here in a unique position to simultaneously: one, drive incredibly strong top line growth; two, increase R&D investments strategically in the highest growth AI opportunities while continuing to drive operating leverage. Three, make necessary capacity investments to fuel the next wave of growth; and four, continued strong capital returns to shareholders. The Marvell team is firing on all cylinders with strong momentum expected to continue across the business.

We have built a well-diversified company anchored by multiple large existing franchises and complemented by several emerging growth engines. I look forward to updating you on our progress as we continue this exciting journey as a key enabler of next-generation AI infrastructure.

With that, I'll turn the call over to Willem for more details on our recent results and outlook.

Thank you, Matt, and good afternoon, everyone. Let me start with our financial results for the first quarter of fiscal 2027. Revenue was $2.418 billion, growing 28% year-over-year and 9% sequentially. Data Center was our largest end market, contributing 76% of total revenue. GAAP gross margin was 52.1%, non-GAAP gross margin was 58.9%.

Moving on to operating expenses. GAAP operating expenses were $921 million, including stock-based compensation, amortization of acquired intangible assets, restructuring costs and acquisition-related costs. Non-GAAP operating expenses came in at $577 million. Our GAAP operating margin was 14%, while our non-GAAP operating margin was 35%. For the first quarter, GAAP earnings per diluted share was $0.04 lower than our guidance, reflecting the impact of purchase accounting for the Celestial AI and XConn acquisitions and the related earn-out obligation.

We expect this to normalize in the second quarter as reflected in our strong GAAP net income guidance. We have now delivered 6 consecutive quarters of positive GAAP net income and expect to continue to drive strong GAAP profitability going forward. Non-GAAP earnings per diluted share was [ $0.80 ] above the midpoint of guidance, reflecting year-over-year growth of 29%.

Now turning to our cash flow and balance sheet. In the first quarter, cash flow from operations was a record $639 million. Our inventory at the end of the fourth quarter was $1.4 billion, almost flat from the prior quarter. During the quarter, we repurchased $200 million of our stock through our ongoing capital return program and returned $54 million to shareholders through cash dividends in the quarter.

As of the end of the first quarter, our total debt was $4.96 billion, with a gross debt-to-EBITDA ratio of 1.44x and a net debt-to-EBITDA ratio of 0.32x.

Turning to our guidance for the second quarter of fiscal 2027. We are forecasting revenue to be in the range of $2.7 billion, plus or minus 5%. We expect our GAAP gross margin to be between 52.1% and 53.1%. We expect our non-GAAP gross margin to be between 58.25% and 59.25%. Looking forward, we anticipate that the overall level of revenue and product mix will remain key determinants of our gross margin in any given quarter.

We project our GAAP operating expenses to be approximately $960 million. We anticipate our non-GAAP operating expenses to be approximately $600 million in the second quarter. We expect our GAAP other income and expense, including interest on our debt to be an expense of approximately $68 million. We expect our non-GAAP other income and expense, including interest on our debt to be an expense of approximately $35 million. We expect a non-GAAP tax rate of 11%. We expect our basic weighted average shares outstanding to be 899 million and our diluted weighted average shares outstanding to be 915 million. The increase from the prior quarter reflects the full impact of shares issued for the Celestial AI and XConn acquisitions as well as the shares issued as part of the NVIDIA investment.

We anticipate GAAP earnings per diluted share in the range of $0.32 to $0.42. We expect non-GAAP earnings per diluted share in the range of $0.88 to $0.98. As we look ahead, we intend to continue to invest in growing our business while driving operating leverage. For fiscal 2027, we expect non-GAAP earnings expense of approximately $2.45 billion, which includes the acquisition of Celestial AI and XConn, both of which closed in the first quarter of this fiscal year.

For fiscal 2028, we expect non-GAAP operating expense to grow year-over-year approximately in the mid- to high teens on a percentage basis. This is significantly below the 45% revenue growth outlook Matt provided in his remarks for that year. As a result, we expect to achieve the upper end of our target operating margin model of 38% to 40% as we progress through fiscal 2028.

Based on the [indiscernible] we have secured and our confidence in sustained customer demand, we are aggressively locking in additional capacity to ensure our growth. We are following the same successful playbook we established during the last major supply crunch, which includes sharing our long-term demand outlook with key suppliers and making strategic prepayments to ensure capacity. This approach has served us well, enabling Marvell to scale revenue significantly during a period when the broader industry has remained supply constrained.

We are forecasting approximately $1 billion in prepayments during this fiscal year with the first payments beginning in the second quarter. These prepayments will be applied against future material purchases. We expect to fund these prepayments through our strong balance sheet and robust operating cash flow generation. In parallel, we plan to continue to repurchase shares to manage dilution. I'm very pleased with our execution driving strong revenue growth and operating leverage as well as robust cash flow generation and ongoing stock buybacks. We are looking forward to continuing to deliver strong earnings growth to our stockholders. With that, we are ready to start our Q&A session. Operator, please open the line and announce Q&A instructions. Thank you.

[Operator Instructions] Our first question comes from the line of Vivek Arya with Bank of America Securities.

Matt, towards the end of your presentation, you mentioned something along the lines of your custom XPU is on target to hit $10 billion in fiscal '29. I just wanted to make sure that we heard that correctly because that would mean that fiscal '28 if your XPU is a little over $4 billion and then it gets to $10 billion. So that's an increase of at least $5 billion to $6 billion year-on-year in sales.

So I just wanted to make sure that I heard that. And then Matt, at what point will you feel more comfortable talking about that large customer and the progress in this new program? Do you expect to be exclusive in this? Because they have a really large CapEx profile. So when do you think investors should start to give Marvell more credit for that new XPU program that should start next year?

Yes. Thanks, Vivek. Yes. So yes, you heard it right. And just for context on the $10 billion plus for fiscal '29, the context for that is, back in April 2024 we set long-term targets out through calendar '28, which would be our fiscal '29.

At that time, we had identified a data center custom overall market, overall custom silicon market, which would generate about $8 billion revenue for us was sort of what you -- if you assume 20% of our market sizing at that time for fiscal '29. And at the -- at our custom silicon event last summer in June of 2025, we then said basically the TAM is bigger. So the implied again, if we achieved our share targets in fiscal '29, would indicate something over $10 billion.

It was like a $55 billion TAM. Take 20% on that. That's $11 billion. So call it in that range. And yes, we're still tracking to it. That's a key part of our assumption. Two years ago, it looked like a very steep hill to climb. We're clearly making progress there. And yes, between our existing programs, our new ramp and just a plethora of XPU attached programs, all of which have sized up significantly since we won them.

We definitely see line of sight to hit those targets. And again, this is just updating investors along the way about how we're progressing. On your second question, program remains on track. I think we're hitting all of our milestones. We -- and we see for next year, I think as I stated in my prepared remarks, kind of across the board on all of the custom programs we have, we're seeing indications of greater need for demand. We we had judged that went down pretty significantly.

And I think as we progress through the year to answer your questions, I think we'll all gain confidence in magnitude that ramp, but it's on track and it's a key part of our plan for next year, but it's not the only piece. It's probably still about 1/3 of the total growth we're expecting in our custom business next year. But yes, it's on a very strong trajectory for that from fiscal '27 to '28 to '29 and beyond on the custom side overall, which includes XPU and XPU attach.

Our next question comes from the line of Harlan Sur with JPMorgan.

Matt, with the aggressive evolution of the inference in compute workloads, this is really opened up a lot of opportunity for these XPU offload engines, like an LPU processor, an STX processor, right? That's what motivated NVIDIA, for example, to acquire that start-up Groq, right, that has this unique SRAM-based memory architecture that enabled them to design a very efficient sort of low latency influencing engine called LPU.

I seem to recall that the Marvell team actually designed the start-up's first generation LPU inferencing chip. And we all know that Marvell has always focused on memory and in particular, SRAM-based IP, like highest density, lowest power. In fact, I think you guys bought the first -- industry's first 2-nanometer SRAM IP to the market last year. Is the Marvell team leveraging this differentiation? Are you seeing more interest in SRAM-based XPU offload ASICs and do you already have XPU attached design wins for SRAM-based offload architectures? .

Yes. Thanks for the question, Harlan. Yes. So first, you definitely pay attention. We talked about this actually quite extensively in June of 2025 at our custom silicon event. We had a whole dedicated presentation actually on our best-in-class SRAM design capability and IP.

And that's, by the way, a legacy in a history investment area that goes all the way back to the Avera acquisition and prior to that, the team being GLOBALFOUNDRIES and IBM. So there's a long legacy there. That technology has evolved from networking products into AI products and you can see that trend in the market as inferencing is happening. So that continues to be a key part of our IP portfolio sure as we go win designs. And it's one of the reasons why we are winning our designs in XPU attach. But it's part of the bigger strategy really, which is I think having the full suite of solutions, right, from advanced packaging, best-in-class high-speed I/O and just the ability to really dive in and get the develop these solutions with our customers in very aggressive time to market time frames, leveraging our manufacturing expertise and our capacity, et cetera. So it's 1 piece of the puzzle, but it is an important piece for sure. And we definitely see that as a trend out there, Harlan, and we'll keep you updated.

Our next question comes from the line of Timothy Arcuri with UBS.

I wanted to ask about the breadth of the customer base. I know we've talked about the existing XPU you have. There's this new customer on the XPU and then you do have some XPU Attach with a third customer as well.

But there's some speculation that you actually might be moving into the compute TAM, and that's by far the biggest custom compute wallet out there. So -- so is that included in the forecast? Or would that be incremental to that? I'm just -- I guess I'm just trying to ask about the breadth of the customer base because I know you did -- you mentioned about the engagement broadening. So wondering if you could talk about that.

Yes. Well, I think a couple of things. The first is, and we've said this for some time, we have custom engagements across the board at all the U.S. hyperscalers. And we've had that for some time, some XPU, some XPU and XPU attach and some just XPU Attach. That's -- and that's part of the AI custom silicon event we did last summer is indicating kind of that broad pipeline of opportunities and sockets. So everything we've laid out, which is the greater than 20% growth this year, more than doubling next year and then still having line of sight to our long-term targets. That's all based on the designs we've already won and locked and even going back really the last summer.

Now if -- some of these programs, again, the timing on them, the newer ones we won since last summer, if you can get them done in like a 2-year time frame, then you might get some contribution from that in fiscal '29, but that's not needed. That -- Think of that as like an insurance policy.

Great. If some of those [ hit ] then if you're worried about some of the existing programs not quite getting there. So when we look at the whole picture, net-net, we feel very comfortable with the trajectory of our custom business. and it's not requiring anything incremental. And I would just say broadly across the board, our technology platform is very competitive, and we're out there competing every day for the most important sockets in the world.

And again, those would contribute later. But at our 2-nanometer platform and then beyond, our road map is very compelling, and it's only gotten -- it's only strengthened since our custom silicon event last summer. So this business is inflecting, and it's definitely on the right track. And again, I highlighted a number of reasons why that is with Harlan's question, but I'll just tell you that what we've really seen, and it's been pretty pronounced, I would say, in the last 6 months or so is that -- the performance of our high-speed I/O, our SerDes performance, our die to die and our ability to integrate that very densely in XPU, switching applications, attach applications.

is the amount of activity we're seeing on demand for that, and I think people realizing that really, it's us and just maybe a couple of other people that can do this at the level that's needed for this level of performance integration, it's driving a whole new set of opportunities, quite frankly. So I -- again, design activities through the roof at Marvell across the board, but including on custom silicon.

Thank you. Our next question comes from the line of Aaron Rakers with Wells Fargo.

This is Michael [indiscernible] on behalf of Aaron. I think you mentioned in your script that you had, I think, new XPU or custom, I guess, [indiscernible]. Could you just provide any additional color on, I guess, for those XPUs or expat or maybe the type accelerator or just type of chip, -- that would be really helpful.

Yes. No additional details at this time. I think it's just another data point we're trying to give people that based on the 50-plus type of opportunities we outlined last June. We continue to close on those. That opportunity pipeline continues to grow in terms of sockets and dollars, by the way. I think every sort of program we looked at a year ago is larger when we look a year later. But no additional details at this time. But at the right time, we'll do a more comprehensive look back and update you on our progress. But right now, at least from the current business we have, the revenue line is definitely moving in the right direction and strong validation for the capabilities that we have.

Our next question comes from the line of Blayne Curtis with Jefferies.

Matt, I wanted to ask about specifically the CECL opportunity alongside accelerators. How real is that opportunity? Is there a way to think about the content per accelerator for that?

Well, yes, it's a very real opportunity. I think we've -- we've -- one is we engaged in this business actually a few years back, and this was when the applications were really driven by sort of traditional server dynamics for x86 compute and that's obviously vectored over into AI.

I think we had a plan in this area, which we've talked about getting that sort of custom line item of XPO attach alone over $1 billion in revenue in the next couple of years. That continues to expand both because we continue to expand the customer base, which is very compelling. But also, I think the concerns around the memory cycle we're in are driving additional adoption of CXL-based design.

So it's sort of no secret at this point that I think the memory architectures are [indiscernible] and critical on how people think about deploying their next-generation infrastructure. And I think us coming in with these very proven solutions now for CXL are really playing in our favor. So I think it's just the trend line continues and just to continue to size up both because of the CapEx, higher penetration due to some of the memory issues and then just more and more of these solutions moving into inferencing. So those are some of the trends that we're seeing, Blayne.

Our next question comes from the line of Chris Caso with Wolfe Research.

Question is about some more color on how you're addressing capacity constraints right now. You spoke about some of the prepayments. And so I mean, first part of the question is, how you're managing to get that additional capacity. And then as a follow-on to that, with the guidance. The increase in guidance, is that a function of you managing to get more capacity out of your customer -- out of your supply base -- or is it really more of a factor of becoming more comfortable with the forecast your customers already given you know that you didn't guide us to everything your customers had put in their forecast in the first place.

Yes. Thanks. I'll hand this one over to Chris, who's been knee deep in this, but I just to give a shout out to our team. Our supply chain operations has been doing an outstanding job, and our suppliers have been doing an outstanding job continue to react to the changes upward in demand. We've been very pleased with that, and we are in great shape overall to deliver on what we just talked about.

But I'll have Chris give some more color on how we're going about that.

Sure. Thanks, Matt. So yes, I think as Matt mentioned, I've been dealing with the operations side since 2020, 2021, and I don't think we've been in an unconstrained environment since then, everything that touches AI has been constrained basically since the beginning of this.

And ultimately, the way we've been able to manage this is by building very tight relationships with a small number of key suppliers, giving them a 5-year forecast of what we need and hitting what we need each time along the way and doing what we said we were going to do. And that goes a long way towards getting which you need when you take everything that you need as you go along.

And we work very closely with all of our key customers and with our key suppliers to give them that forecast. And yes, there's really only a handful of companies that are driving this AI infrastructure TAM build-out and in order to do that, part of that is the prepayments that William mentioned that we're making with our suppliers to back our forecast with confidence and cash. And ultimately, that's what helps us deliver the revenue capabilities we have.

Our next question comes from the line of Ross Seymore with Deutsche Bank.

I want to go to the interconnect side of things. Matt, you talked about the growth rate going to, I think, over 70% this year. If I recall right, it was at the beginning of this year, 30% and then 50% and now 70%. So it's clearly accelerating. I guess the question is, why would you think other than just conservatism that, that would slow to kind of closer to, but still above the hyperscaler CapEx rate next year? Is that just conservatism? Or because everything that you rattled off before about the DCI side of things, AEC, 1.6T, the scale up, et cetera, et cetera, all sounds like those are still very, very strong tailwinds. So I just wanted to get a little more color as to what you're thinking in fiscal '28 for that business.

Yes. I think the fact is this is where we are right now, Ross, and very encouraged to see as we've progressed, as you mentioned, from where we were starting probably around last September to now with the growth rate continuing to inch up as CapEx has gone up and also the attach rate of our interconnect products have gone up. The new initiatives, those businesses are ramping. It's definitely I mean we've had a lot of success across the board here, but this has been the star of the show here. Look, I think when you look out to next year, I think this is where we are today. But if you start building a bottoms-up model, you can see that there's definitely a possibility for a lot of upward bias because our traditional business in DSPs, right, obviously, we talked about a big step-up next year. in 1.6T. That's higher content.

You have DCI ramping. You have the new initiatives, things like retimers and ACs, but also you have scale up optics, which we're effectively calling at this point to be about $300 million, which is true NPO and CPO-based solutions this is like the beginning of a major growth cycle for us. So I think there's a lot of optionality is what I would say at the moment, Ross. But I think today, net-net, you look overall, [ 16.5 ] where we're comfortable overall, but I think there's upward bias for sure. The trends continue .

Our next question comes from the line of Tore Svanberg with Stifel.

Congrats on the record quarter. Matt, I was hoping to zoom in a little bit more on the interconnect business and specifically scale up. Obviously, a lot of that is in front of you. But there's also a lot of different dynamics there, right, whether it's copper, optical, NPO, CPO, copper. What has been surprising to you the last few months as far as what 2 or 3 products are you seeing the bigger upside from? Because obviously, it's a very dynamic market. So given your new growth forecast here, there must be a few that are worth highlighting. .

Yes. Well, I think the good -- I'll start at the top. The good news is, as you said, you just rattled off a number of different technologies, and there's an equal number more you didn't mention. We're in all of them. And I think that's one of the unique advantages that we bring to the table is we have the absolute broadest range of connectivity and scale up and scale out solutions for interconnect in the industry.

And I think, as I was indicating to Ross, I think everything's got an upward bias to it. The area where I think the most intense activity has sort of emerged -- and I think it's just -- it's been just a home run, getting the Celestial team in here and combining them with our own very, very strong capable optics team. that combined team, we're able to go into customers now and outline full end-to-end solutions from XPU to switch with any type of interface and optical or copper connection between that the customer can envision and really optimize around that.

And so that's why we mentioned we're seeing for next year, not just the Celestial products ramping on scale up optics, but also Marvell products as well. And I think that's an area that could [indiscernible], but that upwards, sorry. But that's in the context of us presenting a very comprehensive total system solution.

Because in the end, especially for this first generation, you're going to want to have these solutions bookended, Tore, and you're going to want to have the XPU integrate the same photonic element as the switch side. And we are able to walk in and show our capability and switches, our ability to integrate into XPUs or build the XPU and then all the optics in between. So it's a very, very powerful combination. And I think the end-to-end is getting a lot of attention. And the fact is we have the proven technology. It's not a PowerPoint. It's not a concept. I mean, we have 15 billion hours as an example, of device data on 4 generations of silicon photonics already.

We have 224 gig SerDes in production. We have die-to-die in production. We built switches for multiple generations that are reticle sized with high yield. These are -- this is like the most complex stuff you're going to do in the semiconductor industry. And we're able to simultaneously do it all and bring it to our customers. So if I were to point out a trend, which is kind of what you're getting at, it's that trend right now is how do we help our customers enable their scale-up network for the future.

And this is like Gen 1 ground zero, I mean, there's a lot of room to go here. That's what I'd say the most sort of intense discussions we're having in. And we're very much investing to win here. That's why you see us, in some cases, betting on multiple standards or multiple technologies. We don't want to miss out, and we will pivot at the right time. We'll follow our customers, we'll follow the market. But today, we have a little bit of a lag sheet, and it's very refreshing to our customers because we don't just go in there with our agenda based on the 1 piece that we have and say, well, this is what we have, this is what we can offer you. We go in with here's the technology that you need, and it's real engineering. It's real proven silicon. It's real proof of concept that we can show. So I think more to come on this one.

Our next question comes from the line of Srini Pajjuri with RBC Capital Markets.

Matt, I want to zoom in on the switching side. I think you talked about scale out switching doubling this year. and potentially reaching $1 billion annualized run rate next year. I know it's a large market and you have relatively small share in that market. But as we go from scale out to scale up, you mentioned 3 different, I guess, [ ESUN ] NVLINK and UAVLink. So it seems to me that, that could be even larger market. And obviously, it's all greenfield market for you. So I'm just curious as to how you're thinking about that opportunity in '28 and beyond.

Yes. Thanks, Srini. Yes, you're right. On the scale-out side, it's a large and established market. We're an emerging company there. I would just say though, I think it's a huge milestone to look out to next year and have line of sight to $1 billion of revenue here when, if I go back 6 years ago, when we were able to bring the Innovium team in that was -- it was effectively a pre-revenue company or very little with, at that time, kind of line of sight to $100 million, $150 million of revenue. So that's gone really well if you look over the last 5 years, right, and just kind of where we're heading. And a lot of those assets and capabilities that we got from that are now directly being leveraged into scale-up networking particularly on the -- obviously, on the Ethernet side on ESUN. So that, in our mind, is a bigger opportunity from the standpoint that the market share isn't established yet -- and that's what I was referring to earlier in Tore's question, there's so many important architectural discussions going on, but it's not just the switch, and it really requires kind of a very broad set of capabilities and track record for customers to bet on you here.

And I think the stakes are higher because we do continue to see the adoption of CPO and NPO technologies being much more robust and sticky inside the CLF networks, which is just a lot more TAM for Marvell as well. So you've got switch ASPs that are roughly the same, but you've got a whole new emerging market segment where nobody's might establish the leadership position there. And we think based on assets and our strategy, we should do really well there. That will be -- all the numbers I've rattled off to everybody here, which is a lot, I get it, but the concept is trying to give people visibility on the different pieces of Marvell that you might not think of.

But on the scale up and on the switching side, that is not really in any numbers I'm talking about right now. I mean that's not very little or nothing in the [ 16.5 ] And then the year after, we'll probably get some contribution, but that's never showed up in an Analyst Day we've done or any kind of discussion. So that's all in front of us, and that's all upside. And I think it can be very meaningful over time. So we'll see.

Operator, we'll do 1 more question, and then I'll give some closing remarks and we'll end the call.

Our last question comes from the line of Simon Leopold with Raymond James.

I'm wondering if we look at the fiscal '28 outlook for the custom to double and the 3 drivers that you outlined, can you give us a little bit more color as to which of these is the biggest or how to think about the contributions between existing customer expansion, the XPU attach and then the new Tier 1? Just trying to get a sense of relative size of each

Yes. No, no problem. Thanks for the question. So last quarter, when we talked about it, it was about 1/3, 1/3, 1/3 in those different buckets, the existing programs, XPU attach and then in our new program. And it's about the same. But what's happened is what we said it's going to more than double. So all of those have sized up. Every -- I think across the board, I would say, all of our different custom programs, which, again, I mentioned, was quite a few when you add the XPU attach in there.

Every one of those has sized up and wants to be bigger for next year. So it's a double plus which is great, and I'd say it's roughly the same ratio. We'll know more, obviously, as we get through the year here and kind of lock the production plan for next year in our allocation. But at the moment, everything wants to be more, and we will do that, we'll more than double the business from this year to next year and about the same increments in terms of growth. So thanks for the question.

Operator, do you want to give some closing comments? Do you want to close the call first then I'll do it. Do you want to do it?

No. I'll just close it out once you're finished.

Excellent. Okay. Thanks for your help today. All right. So thanks, everybody, for joining. I appreciate it and appreciate the interest in the company. Marvell is in the middle of really an incredible growth period. We're seeing record demand. We're seeing record bookings the last few quarters. Our data center business is on fire, and we're projecting accelerating revenue growth for this year and next year already from a strong base. I mean, basically, we were 46% data center growth last year, this year's 50% and next year is looking like 55%. So it's only getting better.

The team is doing an excellent job winning new designs, so we can keep the growth engine humming for the foreseeable future. And this is a company that was put together and purpose-built and going back almost 10 years actually in the making to get to this point, we've had a lot of kind of high-profile M&A and integrated that well. But incredibly strong organic investment by Marvell engineers as well to build really a best-in-class leading portfolio across the board. And this came up in some of the questions, but I'll just touch on it. I mean what really is resonating with our customers is we have all the pieces.

We have all the pieces. We have the pieces that can help our customers architect their fully AI -- their fully optimized AI infrastructure, and that can be built on Marvell end-to-end technology. I mean having custom under one roof, high-speed optical interconnects switching, leading at SerDes and IO and then the things we talked about earlier in terms of our capacity, our scale, and our ability to manufacture in yield and high volume and customers' ability to trust us to do that.

So very exciting time for the company. It's been a little roller coaster over the last year. The revenue has been up into the right. But there's been ups and downs along the way. And we have a very, very dedicated and loyal and committed employee base in this company. And I want to thank all the Marvell employees that are listening and all the engineers in this company and everybody in every function who's working your butts off every day to get to where we've gotten to, your focus and commitment is highly appreciated.

So look, we're well on the way to be one of the big winners in this AI cycle. We know what we're good at, and we're going to keep doing that, keep our head down, keep executing and keep driving it forward. So we look forward to seeing all of you. I know there's a whole bunch of different investor events, bus stores, huge amount of people coming through here at Marvell. I'll be in a lot of those meetings, but you'll also see -- you'll get a chance to see Chris and Willem, Sandeep, Ashish and me. So with that, I want to conclude the call. Thanks, operator, and thanks, everybody, for your interest in Marvell. Take care.

Thank you. Ladies and gentlemen, thank you for your participation. This does conclude today's teleconference. Please disconnect your lines, and have a wonderful day.

Good afternoon, and welcome to Marvell Technology Inc. Fourth Quarter and Fiscal Year 2026 Earnings Conference Call. [Operator Instructions] Please note that this event is being recorded.

I will now turn the conference over to Mr. Ashish Saran, Senior Vice President of Investor Relations. Thank you. You may begin.

Good afternoon, everyone. Welcome to Marvell's Fourth Quarter and Fiscal Year 2026 Earnings Call. Joining me today are Matt Murphy, Marvell's Chairman and CEO; Willem Meintje, CFO; Chris Koopmans, President and COO; and Sandeep Bharathi, President, Data Center Group.

Let me remind everyone that certain comments made today include forward-looking statements, which are subject to significant risks and uncertainties that could cause our actual results to differ materially from management's current expectations. Please review the cautionary statements and risk factors contained in our earnings press release, which we filed with the SEC today, and posted on our website, as well as our most recent 8-K, 10-K, 10-Q and other documents filed by us from time to time with the SEC. We do not intend to update our forward-looking statements.

During our call today, we will refer to certain non-GAAP financial measures. A reconciliation between our GAAP and non-GAAP financial measures is available on our earnings press release.

Let me now turn the call over to Matt for his comments on the quarter. Matt?

Thanks, Ashish, and good afternoon, everyone. Let me begin by extending a warm welcome to the Celestial AI and XConn team. We recently closed both acquisitions and the teams are working closely together with joint product road map discussions in full swing with customers. These highly strategic additions further strengthen our technology platform and significantly enhance Marvell's position in the rapidly emerging AI scale-up networking market. I'll provide additional detail on these acquisitions later in today's call.

Now turning to our results and business outlook. For the fourth quarter of fiscal 2026, Marvell delivered record revenue of $2.219 billion, reflecting 7% sequential growth. Revenue exceeded the midpoint of guidance, driven by strong demand in our data center end market. As a result, non-GAAP earnings per share of $0.80 exceeded the midpoint of guidance by $0.01.

Turning to our full year results. Fiscal [indiscernible] was an exceptional year for Marvell. Revenue grew 42% year-over-year to approximately $8.2 billion as reported, and approximately 45% year-over-year, excluding the divested automotive Ethernet business. Our data center revenue surpassed $6 billion, growing 46% year-over-year. This performance was driven by robust demand for our interconnect, switching and storage products, along with a strong ramp in our custom business, which doubled in fiscal 2026.

As we begin fiscal 2027, we are seeing very strong demand across our entire data center portfolio with [indiscernible] accelerating at a record pace. This robust demand is reflected in our guidance for the first quarter of fiscal 2027, the total company revenue forecasted now to grow 8% sequentially at the midpoint to $2.4 billion. Looking ahead, we expect to grow revenue every quarter this fiscal year at a similarly strong sequential rate, which would result in Q4 revenue exceeding $3 billion exiting this year.

[ Store cast ] also implies that our year-over-year revenue growth rate will accelerate each quarter throughout fiscal 2027. As a result, we now expect overall Marvell revenue in fiscal 2027 to grow more than 30% year-over-year, approaching $11 billion. Notably, this outlook is meaningfully higher than what we communicated in our prior updates.

Some of you may recall, in September 2025, during an investor call hosted by JPMorgan, we provided a fiscal 2027 revenue outlook of approximately $9.5 billion, which at that time was received positively as it was significantly higher than the market expectations. In our December 2025 earnings call, as CapEx growth forecasts continue to increase, we updated our fiscal 2027 revenue forecast to approximately $10 billion. Today's outlook approaching $11 billion raises our forecast by almost another $1 billion. Importantly, this outlook is driven by Marvell's organic businesses as the recently closed acquisitions are not expected to contribute meaningfully until fiscal 2028.

The increase in our overall revenue outlook is all being driven by our data center business. Since December 2025, cloud CapEx expectations have continued to increase, and we have seen our bookings continue to accelerate. As a result, we now see our fiscal 2027 data center revenue growing by 40% year-over-year. We expect all our key product lines in data center to be stronger than our prior outlook. Notably, we expect our interconnect business to more than 50% year-over-year, well above our prior expectation of 30% growth. For our communications and other end market, we expect 10% revenue growth in fiscal 2027.

Looking ahead to fiscal 2028, while we assume the rate of CapEx growth moderates from the current fiscal year, we expect continued robust data center revenue growth for Marvell. We expect our interconnect business to significantly outpace cloud CapEx growth, our custom business to at least double year-over-year, and our Ethernet switching business to continue to ramp meaningfully. In addition, we expect Celestial AI and XConn to contribute approximately $250 million in aggregate revenue in fiscal 2028. As a result, we expect data center revenue and fiscal 2028 to grow close to 50% year-over-year.

Achievement of our forecast would result in 3 straight years of data center revenue growth [indiscernible] at well over 40%. For our communications end market, we continue to expect low single-digit percentage revenue growth in fiscal 2028, consistent with our prior view. So in aggregate, we expect Marvell's overall revenue in fiscal 2028 to grow close to 40% year-over-year, reaching approximately $15 billion, roughly $2 billion higher than the outlook we [indiscernible] in our December earnings call, and driving our non-GAAP EPS to well over $5. This outlook is based on demand we are seeing now and designs that are already in execution.

As we progress through the fiscal year, we plan on remaining closely aligned with our customers as we expect them to continue to invest in AI infrastructure. With that, I'll provide more context on our numerous growth drivers across our end markets, beginning with data center.

In our data center end market, we delivered record fourth quarter revenue of $1.65 billion, representing 9% sequential growth and 21% year-over-year growth. Revenue exceeded our guidance, driven by increased demand across our interconnect portfolio. We achieved sequential growth across all key product lines, including optical interconnects, custom silicon, switching and storage.

Looking into the first quarter, we expect our data center revenue to grow approximately 10% sequentially, including a seasonal sequential -- including a seasonal sequential decline in on-premise data center revenue. Let me now highlight the broader trends across both our established data center businesses and our newer growth initiatives, including recent acquisitions. I'll organize the discussion into 3 categories. Interconnect, switching and custom.

I'll begin with Interconnect, where we offer the industry's broadest and comprehensive high-speed connectivity portfolio, addressing scale out, scale across, and scale up networking. In our scale-out [ PAM ] franchise, demand remains robust for our 800-gig products. We are also seeing very strong bookings from multiple Tier 1 customers for our 1.6T solutions which entered production in the second half of fiscal 2026. Reflective demand in our first-to-market technology leadership, we expect our 1.6T revenue ramp -- to ramp very rapidly in fiscal 2027 and with substantial additional growth projected in fiscal 2028. As a result, we expect to continue to maintain leadership in the PAM market at 1.6T just like we have at every PAM generation.

Marvell is the first company to productize 200-gigabit per [ lane ] technology, enabling the 1.6T transition now underway. While this generation is expected to continue to grow through the end of the decade, Marvell has already demonstrated 400-gig per [ lane ] technology. We expect that this will position us to enable the industry's subsequent transition to 3.2T, once 1.6T reaches full maturity.

To support campus-wide data centers requiring longer reach than traditional PAM solutions, Marvell has introduced [ coherent ] light, optimized for 2 to 20-kilometer applications within a highly power-efficient outlook. We have already begun shipping first-generation 1.6T coherent light products and are now introducing a second generation with integrated [indiscernible] security.

Turning to scale across interconnects, a technology we pioneered with our 100-gig DCI modules, we continue to lead the market with coherent 400-gig and newer 800-gig solutions. We are winning new customers and expect to supply DCI modules to all 5 major U.S. hyperscalers this year. We see significant long-term growth in this market, as the global data center footprint expands and bandwidth requirements between data centers continues to increase.

Industry forecasts project that DCI pluggable TAM to grow by more than 5x by calendar 2030, with speeds doubling each generation and feature complexity increasing, including the integration of [indiscernible]. To that end, earlier today, we announced our latest innovations and scale across interconnects, including the industry's first Secure 1.6T ZR and ZR+ DCI modules powered by our new 2-nanometer coherent DSP. We also introduced a new 2-nanometer 800-gig DSP, which enables second-generation lower-power 800-gig DCI modules. DCI modules powered by these 2-nanometer [ MACsec-enabled ] DSPs are expected to begin sampling later this year. This positions Marvell to maintain technology leadership, supported by our proven expertise in large-scale manufacturing of these highly specialized and complex modules.

Now let's move to scale-up interconnects, which is an entirely new and rapidly emerging market. We are very excited about what we believe to be a [indiscernible] opportunity unlocked by Celestial AI's photonic fabric, or PF technology, as well as growing customer traction for our AEC and retimer solutions. As discussed last quarter, Celestial AI's PF technology is expected to enable large-scale commercial deployment of CPO for scale-up connectivity starting next year. Our chiplets will be [indiscernible] into both custom [indiscernible] and the scale-up which is connecting them together on both sides of the length.

With the acquisition now complete, Marvell's engineering and operations teams fully engaged in bringing Celestial's first generation chiplet into high-volume manufacturing. We remain on track for our forecast for our CPO revenue from Celestial to reach a $500 million annualized run rate in the fourth quarter of fiscal 2028, doubling to a $1 billion annualized run rate by the fourth quarter of fiscal 2029. We have seen strong interest from a broad range of customers in Celestial's photonic fabric technology following the deal announcement. We look forward to updating on our progress in the scale-up interconnect market, which we believe could exceed $10 billion by 2030.

In the [ AEC ] market, we have secured design wins with 3 Tier 1 U.S. hyperscalers and several additional customers, including model builders and hardware OEMs. We are also seeing strong traction for our retimers. As a result, we expect combined AEC and retimer revenue to more than double year-over-year in fiscal 2027. We continue to abate through our [ Golden Cable ] initiative, a strategic program that delivers a complete solution, including industry-leading software and validated reference designs, enabling ecosystem partners to rapidly design and deploy AEC products at scale. Hyperscale customers benefit from access to multiple high-volume cable OEMs offering fully compatible ADCs, both on the same high-performance Marvell DSP and reference design.

[indiscernible] data center switching, we delivered strong growth in fiscal 2026 with revenue exceeding $300 million, driven entirely by scale-out applications. Given sustained demand for our current 12.8T products and a strong ramp of next-generation 51.2T products, we now expect data center switch revenue in fiscal 2027 to surpass $600 million, up from the $500 million we had indicated last quarter. We are seeing strong engagement from both existing and new customers for our 51.2T platform, and our upcoming 100T platform, which we begin to -- should we expect to begin sampling in the first half of this fiscal year. Our 100T switch delivers industry-leading power efficiency and lower latency, attributes that are especially critical for AI applications.

In scale-up switching, the combination of Marvell and XConn creates a significantly larger team to address rapidly emerging UAL and Ethernet-based opportunities. UA Link builds on decades of PCI ecosystem development and incorporates high-speed interface innovations from Ethernet to meet the bandwidth, latency and reach requirements of next-generation accelerated infrastructure. XConn expands Marvell's switch team's deep PCIe switching expertise, enabling a comprehensive -- enabling comprehensive support to customers building next-generation AI platforms. We are fast tracking our scale-up switch road map by leveraging our extensive experience in developing large reticle size scale-out switch chips, and best-in-class in-house high-performance series.

We remain on track to sample our [ UA-LINK 115T ] solutions in the second half of this fiscal year with volume production expected in fiscal 2028. In parallel, we continue to advance the Internet-based road map with key customers. We're able to further enhance our scale-up road map by enabling integration of our CPO technology from Celestial directly with our switches, delivering a purpose-built, fully optimized end-to-end optical scale-up platform.

XConn also adds advanced PCIe and CXL switch solutions, another completely incremental TAM for Marvell. The PCIe Gen 6 and CXL 3.1 solution is based on a monolithic switch architecture supporting up to 256 lanes, delivering the industry's highest ratings and lowest latency. PCIe switching remains foundational in standard compute architectures connecting CPUs to peripherals and increasingly [ the AI ] infrastructure to connect CPUs to [ XPUs ]. In parallel with next-generation protocols like [ UA Link ], PCIe is also adopted for XPU to XPU connectivity, particularly in AI inference systems and small- to medium-sized clusters.

CXL is rapidly becoming essential for memory disaggregation in modern data centers. We have been investing in CXL for several years and XConn switching portfolio, combined with Marvell CXL [indiscernible] create the industry's most comprehensive CXL platform. XConn was already engaged with more than 20 customers prior to the acquisition. As part of Marvell, XConn now benefits from our global sales and marketing reach and strong presence in the data center. As a result, we expect to drive strong growth in both the PCIe and [indiscernible] switch markets over the next several years.

Turning now to our custom business. This remains one of the most compelling growth drivers for Marvell. In just a few years, we have scaled from zero revenue to $1.5 billion in fiscal 2026. As you may recall, the first meaningful ramp again in the second half of fiscal 2025. Fiscal 2026 marked the first full year of production for those programs. And as a result, we doubled our customer revenue year-over-year. We expect custom revenue to grow more than 20% year-over-year in fiscal 2027, higher than our prior view.

We continue to see growth from our [ Lead XPU ] program this year, including a transition to its next generation. As I noted last quarter, we have purchased orders covering the entirety of this fiscal year's forecast for this next-generation program and are now ramping production. In addition, we are expecting the growth to continue in fiscal 2028 from this program. We are also deeply engaged on the follow-on generation of this XPU.

In addition, several XPU attach programs are ramping in fiscal 2027, including our initial CXL and NIC products. CXL demand is accelerating, partly driven by tight memory supply. Our custom CXL expanders enable customers to reuse prior generation DRAM with new XPUs, GPUs and CPUs, while also supporting near-memory compute operations. A recent white paper from a leading hyperscaler on next-generation LLM inference architectures highlighted, near-memory processing is a key opportunity to improve model performance. They cited Marvell [indiscernible] a processor as an example of a CXL-enabled solution that improves programmability and simplify system integration.

This all provides a great setup for fiscal 2028. We continue to expect custom revenue to at least double year-over-year from 3 primary drivers. First, continued growth from our existing custom programs. Second, Multiple XPU attach programs reaching high volume, particularly in custom neck and CXL applications. As I mentioned last quarter, we have line of sight to revenue exceeding $2 billion by fiscal 2029 from just these two use cases, and we expect to make significant progress towards that outlook through fiscal 2028. Third, our new Tier 1 XPU program ramping into high-volume production. This program has continued to progress well -- very well through development, and we have firm volume requirements for all of next year and are planning for high-volume manufacturing.

Beyond programs already won, we are encouraged by strong new design engagements with both existing and new customers. Custom compute is proliferating across the hyperscale ecosystem with inference optimized hardware becoming increasingly important. We are seeing an unprecedented level of activity across multiple new engagements as hyperscalers increased their cadence of custom chip development. We are engaged in deep technical discussions on innovative new architectures, and are seeing a massive opportunity on 2-nanometer and below process technologies.

Okay. Turning to our communications and other end markets. We delivered fourth quarter revenue of $567 million, up 2% sequentially and 26% year-over-year. For the first quarter, we expect low single-digit sequential growth on a percentage basis and approximately 30% year-over-year.

In summary, we concluded fiscal 2026 on a strong note with revenue growing 42% year-over-year and non-GAAP EPS increasing 81%, roughly twice the rate of revenue growth, demonstrating the strong operating leverage in our business model. Fiscal 2026, we were very active on the M&A front, divesting our automotive Ethernet business for a double-digit revenue multiple, and rapidly redeploying the proceeds into two highly strategic acquisitions. These positions [indiscernible] Marvell at the forefront of the large and incremental AI scale-up networking market.

At the same time, we continue to execute our capital return program returning $2.245 billion to stockholders through share repurchases and dividends. So far in fiscal 2027, we are seeing strong bookings across our entire data center portfolio with customers signaling robust demand not only for this year but for the next several years. We believe we are still in the early stages of a strong multiyear growth cycle for Marvell.

Our first quarter fiscal 2027 guidance represents 27% year-over-year growth at the midpoint, reaccelerating from 22% in the prior quarter. We expect year-over-year growth to accelerate each quarter throughout fiscal 2027, with revenue exiting the fiscal year at over $3 billion in the fourth quarter. We have reached our fiscal 2027 forecast meaningfully. And in fact, the revenue growth rate we are projecting today for fiscal 2027 is roughly double the outlook we provided just a few months ago in September.

This is an exciting moment for Marvell. I want to take a moment to thank our global team for staying focused despite the external noise, and delivering consistent execution, which has enabled record results and positioned us to capitalize on what we expect will be a massive AI opportunity ahead. I look forward to updating you on our progress in the coming quarters.

With that, I'll turn the call over to Willem for more detail on our recent results and outlook.

Thank you, Matt, and good afternoon, everyone. Let me start by summarizing our full fiscal year 2026 results, which were very robust across the board.

In fiscal 2026, Marvell delivered $8.195 billion in revenue, growing 42% year-over-year. This growth was primarily driven by AI demand in our data center end market, as well as the continuing recovery in our communications and other end markets. For the full year, on a GAAP basis, our gross margin was 51%. Operating margin was 16.1%, and earnings per diluted share was $3.07. On a non-GAAP basis, our gross margin was 59.5%. Operating margin was 35.3%, expanding by 640 basis points year-over-year, and earnings per diluted share was $2.84, growing 81% year-over-year. We also significantly increased capital returns to our stockholders, returning $2.245 billion through share purchases and dividends in fiscal 2026, an increase of approximately $1.3 billion from the prior year.

Moving on to our financial results for the fourth quarter of fiscal 2026. Revenue in the fourth quarter was $2.219 billion, growing 22% year-over-year and 7% sequentially. Our data center end market was 74% of total revenue, with our communications and other end markets contributing the remaining 26%. GAAP gross margin was 51.7%. Non-GAAP gross margin was 59%.

Moving on to operating expenses. GAAP operating expenses were $744 million, including stock-based compensation, amortization of acquired intangible assets, restructuring costs, and acquisition-related costs. Non-GAAP operating expenses came in at $517 million, in line with guidance. Our GAAP operating margin was 18.2%, while our non-GAAP operating margin was 35.7%. For the fourth quarter, GAAP earnings per diluted share was $0.46. Non-GAAP earnings per diluted share was $0.80, above the midpoint of guidance, reflecting year-over-year growth of 33%.

Now turning to our cash flow and balance sheet. The fourth quarter cash flow from operations was $374 million. Our inventory at the end of the fourth quarter was $1.39 billion, growing $374 million from the prior quarter. Our working capital has increased to support the significant revenue growth we are driving. During the quarter, we repurchased $200 million of our [ stocks ] through our ongoing capital return program, and returned $51 million to shareholders through cash dividends in the quarter. We expect to continue to return capital through repurchases and dividends.

As of the end of the fourth quarter, our total debt was $4.47 billion, with a gross debt-to-EBITDA ratio of 1.38x, and a net debt-to-EBITDA ratio of 0.57x. Our debt ratios have continued to improve as we have driven an increase in our EBITDA.

Turning to our guidance for the first quarter of fiscal 2027. We're forecasting revenue to be in the range of $2.4 billion, plus or minus 5%. We expect our GAAP gross margin to be between 51.4% and 52.4%. We expect our non-GAAP gross margin to be between 38.25% and 59.25%. Looking forward, we anticipate that the overall level of revenue and product mix will remain key determinants of our gross margin in every -- in any given quarter. We project our GAAP operating expenses to be approximately $872 million. We anticipate our non-GAAP operating expenses to be approximately $575 million in the first quarter. This is stepping up from the prior quarter due to the typical seasonality in payroll taxes, and employee salary merit increases, as well as the addition of Celestial AI and XConn. The two acquisitions in aggregate are expected to add approximately $75 million to our fiscal 2027 annual non-GAAP operating expenses.

We expect our GAAP other income and expense, including interest on our debt, to be an expense of approximately $51 million. We expect our non-GAAP other income and expense, including interest on our debt to be an expense of approximately $48 million. We expect a non-GAAP tax rate of 11%. We expect our basic weighted average shares outstanding to be [ $876 million ], and our diluted weighted average shares outstanding to be [ $883 million ]. We anticipate GAAP earnings per diluted share in the range of $0.26 to $0.36. We expect non-GAAP earnings per diluted share in the range of $0.74 to $0.84.

As we look ahead to the rest of fiscal 2027, we will continue to invest in growing our business while driving operating leverage. On a sequential basis, we expect non-GAAP OpEx to remain flat in the second quarter and then grow in the low to mid-single digits on a percentage basis in each of the third and fourth quarters, well below the rate of revenue growth Matt provided in his remarks. We are seeing strong growth from our existing franchises and scale out and scale across AI as well as custom, and we are investing to drive new revenue streams from the rapidly emerging AI scale up market. We have entered a robust multiyear growth period and are looking forward to delivering strong earnings growth to our stockholders.

With that, we are ready to start our Q&A session. Operator, please open the line and announce Q&A instructions. Thank you.

[Operator Instructions] Your first question comes from Ross Seymore with Deutsche Bank.

Matt, thanks for all the updates on the out year -- well, fiscal year, both this and next. Beyond the magnitude of the revenue growth, can you just talk about the profile of it? Is the customer base broadening? People are always worried especially in your custom business about the concentration of it. So I just wanted to get a little bit more color on the shape of the demand from a customer perspective?

Yes. Thanks, Ross. Well, first of all, we're deeply engaged across the entire ecosystem, extremely strong position with the top 4 U.S. hyperscalers and then the next level. And each of them, we have a different concentration and revenue mix. But just to be super clear, if you look at this year and you look at us driving the company to $11 billion, and then you unpack things like custom, it's not that big a percentage of the total. So that's not what's driving our concentration.

I mean by design because of the top 4 U.S. hyperscalers is spending the bulk of the CapEx, that's where the dollars are going to go. But we're quite diversified across each of them. And some of them we sell a different mix, obviously, of product to. But in the case of all 4, within our portfolio, which I just went through the laundry list of all the different types of products that we provide, we're highly diversified within each of these customers.

So -- so yes, custom is something that gets a lot of attention. But if you just look at the numbers I gave you and the context as I said, it's a piece of the equation, but not all of it. And then over time, even on the custom business, as you look out through fiscal '28 and fiscal '29, Remember, we've got 20-plus design wins, or products now, sockets that are either in production or going into production, it's going to layer in across all those companies as well. So the diversification is only going to get better over time.

But we're very unique in sort of the breadth think of the products that we offer and the product lines we have to really serve end-to-end the needs of all of our key hyperscalers. And the last two M&As we just did really round that out nicely in terms of adding PCIe, getting -- beefing up the UAL, and then also adding key silicon photonics capabilities.

Your next question comes from Harlan Sur with JPMorgan.

Congratulations on the strong results [indiscernible]. Matt, on your custom [indiscernible] attached subsegment, open AI recently inked a partnership with your lead XPU, customer to consume, I think, something like 2 gigawatts worth of your lead customers, next gen and next-gen XPU. So it feels like the overall demand for AI compute continues to accelerate. Right on top of that, like you said, you're ramping 15 to 20 XPU attached custom programs this year and next year.

Within our better outlook for custom this year, and with you already starting to ramp your lead customers next-gen XPU program, do you still anticipate a stronger second half step-up of this XPU program? Or is it more of a linear ramp through the year now? And I think you previously thought that you would exit this year with custom driving about a $2 billion sort of annualized growth rate. What does that exit run rate look like today?

Yes. Thanks, Harlan. I think the first part of your question is absolutely seeing strong validation in the market for the AI compute spend, and the fact that a significant portion of that continues to go to companies that are building their own XPUs. So that's a positive trend. We certainly see it. And you're right. Even where we don't necessarily have the XPU, we have XPU attached. So all the [indiscernible] is going [indiscernible] in customers where we're not participating. So we're -- we participate across every one of those large companies and more on [ XPU attached ]. So that's a very positive trend for us that's driving our positive outlook for sure through this year, which we said custom was going to grow faster than we thought, but more meaningfully into fiscal '28 and '29.

And then from a linearity perspective, under the hood, we kind of give you a view of what the sequentials would look like throughout the year. But yes, custom, we have said was going to be a stronger second half due to a program transition. That's still the case. And that -- the type of exit rate you're talking about is certainly still intact and probably has an upward bias to it. If you look at the exit rate we're talking about for the whole company now, we're looking at north of $3 billion. So within that custom continues to have some real upside to it.

But that's going to improve meaningfully and the revenue growth is going to continue into fiscal '28 which is basically those programs from the second half now having a full year. So that's going to provide some nice growth. Content increase, then layering in the XPU attach, and then layering in our new program with a new Tier 1 hyperscaler, which is in its early stages, but just even the rough plug we have for them, is significantly lower than actually the wafers that we're planning on starting the material and the production plan we have with our manufacturing supply chain. So I think it's a very reasonable setup for next year with a lot of upward bias depending on if these trends continue.

Your next question comes from Aaron Rakers with Wells Fargo.

I guess my first question is on the optics, the electro-optics business. I know Matt, you've talked about in the past that your ability to kind of outgrow the pace of what we're seeing in CapEx spend. So I guess my question is, we've seen some massive upward provisions in CapEx. I think most people look at that and say, hey, we're looking at like 60% plus growth this year. Do you think you can grow at that level? And how do you think about the durability of that growth as we move into fiscal '27 -- or fiscal '28?

Yes. Aaron, your observation is absolutely correct. And that's why even as we look at the upward momentum we see in the business for this year, a big part of that change is in that electro-optics portfolio. We had been calling it kind of closer to CapEx as we were modeling what we thought we could do this year back in the September call and then even in the -- in my December call. But now it's clearly growing more like -- more like accelerator growth and more like this sort of accelerated CapEx growth. So yes, it's growing like 50% plus this year now. And that momentum is going to continue, okay, into fiscal '28. A couple of things are happening there.

The first is that as new XPU, GPU, et cetera, generations are released. There is -- we are seeing some increased concentration on the attach rate of optics. So that's a positive. You get more 1.6T, which has just -- because of its performance, commands higher ASP. So that's going to roll in. And then we have -- yes, we just have some pretty new exciting programs happening in that area. So that business has been growing at like [indiscernible] a year-ish. You can give it plus or minus, I get the exact data. But it's been at that rate for some time since we acquired Inphi and the data center stuff really took off. We see that continuing not only through fiscal '28, but that momentum should continue beyond that. Maybe it's not the exact same magnitude, but it's significant. We have a real head of steam on the electro optics business at Marvell.

Your next question comes from Blayne Curtis with Jefferies.

Matt, I don't want to ask on the custom business. So I think you feel very confident about the trajectory. I'm just kind of curious, one, can you just help us with [ '26 ]? Because I mean, you have the big broad swath, but I mean, is that custom business growing 30% this year? I just want to figure out the base that you're going to double. And can you talk about that second major XPU customer? I mean, kind of give this type of guidance, like what kind of confidence do you have in the timing of that program?

Sure. Yes. And I think you're talking about -- just to be clear, calendar '26, fiscal '27 set on custom, kind of what numbers are we talking? Is that the first question? The second one is the...

Yes, sorry, your fiscal year. But yes, fiscal '27 is at around 30%. And then your confidence level on that second major [indiscernible] customer and timing as we try to layer that in to get to that double?

Yes, great. And by the way, I don't feel bad. I've been in this job for 10 years, and I still have to translate every day between my fiscal year on my calendar year. So don't feel bad.

For fiscal '27 we had been indicating after the double from last year, it would grow 20% this year. So we're just saying that's north of that. So I'm -- I can't give you the exact number now, but it's biased upwards, but it's just -- so just take what I read before that 20%, you can make an estimate but higher, but not significant enough where I would like give you a new number, but just say it's [indiscernible] higher. So in the ballpark, but higher. So then next year, obviously, gets a little bigger than we thought.

And then the reason we're confident is we have line of sight in terms of -- well, first of all, we have history, right? We've built these large scale custom programs before. We've done these ramps before. We have a good sense of when the product is going to go through its key milestones through [ NPI ]. We have had very detailed discussions and alignment around manufacturing plan, and we've aligned up a corridor for fiscal '28 for production on this that would be a lot higher than what I'm indicating to you.

I think we're budgeting at the moment for -- is there a delay? Does it take longer, et cetera. And plus, I think at the moment, it seems like a lot of folks aren't really believing it's maybe going to do anything. But I think our plug is very, very reasonable for next year in terms of what's there. And I think it would bias quite a bit higher if we could just achieve what we're planning on reserving in terms of capacity. So more to come there. But I think we try to call the ball as best we can. And in general, we've done a pretty good job over the years [indiscernible] to size and judge things in advance. And then usually, we're pretty good and then they [ buy us ] upwards. So we'll see where it lands. But I think it's not a big stretch for this custom business to double next year.

Your next question comes from Ben Reitzes with Melius Research.

Matt, nice to see the beat and raise. I wanted to ask the question about what got better in a different way? I mean, if you could just unpack since December, the $2 billion, especially the -- how fiscal [ '28 ] got $2 billion better since December? What -- if we can unpack that and what exactly got better? And then potentially, I'm going to be a little greedy, what can carry into the next year as well, calendar '28 of those signs that you saw since then?

Yes. Thanks, Ben, and great to hear from you a long time. So I think -- one is you just kind of look at it as progression. I mean, it's the first point I'd make is we tried to give a view for investors to be helpful because there's a lot of concern and angst back at the end of last year. So in September, we talked about 9.4-ish for this year. And then that's now -- in December, we said that looks more like [ 10% ], and now I'm saying it's more like [ 11% ]. So some of that is just the progression in terms of time and getting better visibility and more concrete. And then that just ripples into the -- I'll use calendar for a second, calendar '27.

But on top of that, I mean, one, we've now got very firm requirements and understand the profile, in particular the interconnect business. And that is, I think we had called it very conservatively, to be frank. And I think even a few analysts last quarter kind of [ dinged us ] saying, well, you're plugging your interconnect business at CapEx, but it really looks more like it should be tied to GPU, XPU. And that's really the case. So I think we're seeing that now in terms of the forecast. So that's come up quite a bit, which then again, the upward revisions we're seeing for this year then ripple into next year.

And then I'd say this is all underwritten Ben, by extremely strong bookings and backlog layering in and then the detailed conversations with our customers around supply planning. It's just given us a much more concrete view. And by the way, the other reason I think it's important and why we felt it was important to continue to update on this metric is that we set targets back in April of '24 for calendar '28. We did that around some assumptions around data center market share of 20%. And those numbers looked enormous at the time we talked about it. I think you guys were there.

We were doing low billions a quarter in revenue at that time. $1 billion -- I think we had guided [indiscernible] when we put out this number that was like $15 billion in data center revenue in 4 years. And I think everyone thought we were nuts. At our June AI investor event, we said the TAM went up, so that data center revenue bogey kind of moved up to like if you just did the math, moved up to more like $18 billion and change. But you kind of look at it and you see where we're landing in calendar '26. And now we're sitting here in '27. I mean, it's -- we're very much on track actually to those targets that we had set in.

And so in a way, yes, it's some upward revisions and that's part of it is just because we have more data, but it actually is also validating, I think, the plan we set actually 4 years ago about what we thought we could go off and do, which were very lofty ambitions, and we're not there yet, and we have to go execute [indiscernible] me and the whole team. But we're very encouraged by what we're seeing, and the proof is in the pudding that we're getting in terms of the backlog forecast and alignment with our entire [indiscernible] chain to be ready to go make that happen both this year, next year and in calendar '28.

Your next question comes from Tom O'Malley with Barclays.

I think in the preamble, Matt, you talked about AEC and retimers more than doubling in the fiscal year. Could you maybe give us some perspective on the base there? And then been really helpful in the next few years kind of giving the contributing factors of what is a pretty impressive growth profile. Maybe talk a little bit about how much that can contribute in this broader overview?

Yes. Tom. Yes, this is still an emerging area for us. So we're -- it's doubling -- over doubling this year, but it's probably in the $200 million range is what I would say. I mean, we actually -- I think based on some of the things we're looking at, maybe that goes higher, but that just gives you a sense of the magnitude. But it's going to keep going from there. I mean this is -- we've seen this in a lot of our emerging product areas when we get into them. Once they start doubling, they kind of keep doubling, and you know this market quite well. There's quite a bit of room, I think, for a bunch of people to participate. So yes, we're very encouraged by what we see based on the traction we have on our products, especially on product leadership.

We leverage a lot of our DSP and PAM technology in this area. We inflected when both on the retimer side and [indiscernible] move from NRZ to PAM, and that was -- that was our kind of conscious decision to do that. So we're earlier in the cycle because we're coming in, in later generations than some of the existing sockets, but we intend to really invest here in a significant way and participate.

Over the long term, we see that as complemented. There's a place in the market for this, and we're going to participate. But obviously, we made the bet when you go back to even the Inphi acquisition 5 years ago on optics and pluggable optics, in particular, and then now with Celestial also, on CPO on the scale upside. So there's a period of time we're going to participate. I think it's going to be great, and the business is going to do well and it leverages what we have. And I think it's going to be just part of our goal to be the end-to-end provider for our customers of all of these types of solutions. From electrical to optical to silicon photonics various reaches various distances, various form factors.

And that's what our customers are looking for, okay? They want to have an interconnect partner that could be the one-stop shop and do it all and have high amounts of leverage on the IP, so they can trust it, because we do it ourselves and also on the firmware and the software, and the system implementations, they also want to make sure that they have reusability. So it's been a virtuous cycle here, just the scale-up part relative to [indiscernible] smaller but growing rapidly.

Your next question comes from Vivek Arya with Bank of America Securities.

Matt, I just wanted to first clarify what your XPU attach was last year and what contribution you expect in '27 and '28? And then, kind of, my more strategic question is, when we look at the pattern of your first large XPU program, right, you had a very strong start, followed by competition from another supplier. How would you handicap kind of your exclusivity at the large new XPU customer you plan to start at next year?

Yes. Thanks, Vivek. So maybe I'll answer the second one first. So yes, we're -- I think you're asking specifically about our newer program that would ramp next year, and we feel very good about our position. These are very deep engagements we have with our customers. We're two hands on the steering wheel on this. This is multi-generational in nature. Given the rate of innovation and the pace that the technology is moving at, it's really in everybody's best interest to plan, not just one generation out but even farther. And so we've really been able to do that, I think, across the with our customers. And so we feel really good about our position there. And the sustainability of that.

It still needs to ramp obviously. But certainly, the CapEx envelope is out there to really consume a lot of product, and we're very encouraged by what we see from a road map perspective. And we're investing heavily as a company to be there across the board on all of the key attributes that these big XPU customers care about. So I think more to come on that, as well as future opportunities on XPU for the company. But we feel very good about our position in the next few years in terms of line of sight to hitting the revenue targets that we talked about over the last couple of years and then growing beyond that.

And then, yes, I'm sorry, then the -- on the XPU attach, we [indiscernible] give the exact numbers, but just maybe big round numbers. And maybe we'll first start with the line of sight just on the NIC and CXL I gave you, which was kind of $2 billion out in '28, and then you layer more on that. So -- and by the way, just -- we had sized for everybody on the call, the XPU attached TAM in the future at about $15 billion in calendar '28. We didn't break it out exactly, but we had a total market share goal of about 20% in that time frame. So I'll just call that $3 billion, we're driving in that area. So let's take a step back now.

XPU attached probably in the couple of hundred million ballpark [indiscernible], like this last year, doubling this year, maybe over doubling again the year after. So I think by next year, this thing is probably a $1 billion type business. We'll see how it all shakes out. It's all going to happen under the hood of our custom business with that. But just to give you a sense, it's on a massive trajectory upward, and it's in that category of kind of double plus each year.

Your next question comes from Tore Svanberg with Stifel.

Congrats on the record quarter. Matt, I was hoping you could give us a bit of an update on the mix of the [ opto ] electronic business. So you talked about [ 1.6 ] already shipping. But my understanding is that 800-gig is definitely going to be the bigger volumes this year. So any sense for what the mix is going to look like for fiscal '27 between [ 1.6 ], and I guess [indiscernible] some [ 400 ]?

Yes. Well, I think you got it right. First of all -- and we've been saying this for a while that [ 800 ] was going to be sort of stronger for longer, and I think that was our mantra even last year. And that's still the case for sure. But as I mentioned in the prepared remarks, we had significant shipments actually of 1.6T at the end of last year, and it's going to ramp again pretty hard this year. But [ 800 ] will still be the majority. I think it's going to take probably through -- I mean, even next year, 800 is still going to be strong.

So I can't give you the exact breakout at the moment, Tore, but part of the -- I think, the uplift as well in terms of just our outlook for interconnect for the year was also based on, kind of, all of our customers revising up in terms of what they were going to need, but maybe a little bit more pronounced in 1.6T and it's really ramping strong with those initial customers we had and more will layer on throughout the year and next year. So yes, maybe more on that later, Tore, but probably not in a position to give you the exact number.

And also, I'd say the reason why too, is it's been moving around a lot. I mean, this has been very dynamic in terms of the bookings environment and the demand environment. So I think the mix will have a better view of what that looks like as we progress throughout the year.

Your next question comes from Joe Moore with Morgan Stanley.

With all the growth that you're looking at here, I wonder if you see anything on the supply chain, that could be challenging for you. My sense is you've come a long way in terms of supply chain management since a couple of years ago, but just any updates there would be great?

Yes. Joe, great to hear from you. I'm going to have Chris answer that, our COO. He's been knee deep and had that job for about 5 years, and he's knee-deep in the supply. So Chris, go ahead.

Yes. Thanks, Joe. Look, we've been in a tight supply environment for anything that touches AI, advanced [indiscernible] fabrication, advanced packaging, large body [indiscernible] since the launch of ChatGPT. And against that backdrop, to your point, we were still able to grow the company north of 40% in total revenue last year. So we clearly have very, very good relationships with our suppliers.

But I would argue that really what helps us we've been forecasting this growth for quite some time. And by giving them multiple years of visibility of what we're going to need and ramping into these numbers is really helping us. And so I'm very confident we've secured the supply that we need for all the growth that Matt outlined this year, next year and beyond.

Your next question comes from Jim Schneider with Goldman Sachs.

It's great to hear the increased visibility you have business in the next year. If I think about the guidance for $15 billion of revenue next year, and $5 of earnings, roughly speaking, that's about 15% to where I see the peak consensus being for next year's revenue, but only about half of that on the earnings side. So can you maybe unpack a bit of what are the moving pieces below the top line? Whether that's gross margin mix, or increased investments to sort of get to that? Or is the [indiscernible] number just relative to [indiscernible]?

Jim, yes, yes, that's like just a floor like it's 5-plus. I mean you can run your own pro forma income statement. But just to give you a sense of how to think about it.

So on the top line, we gave you a framework. And then you can also take, basically where we're going to exit this year and you could use whatever number you want to model finally in your model, but we're saying put in 3, or a bit more. And then if you actually just kind of roll through some of the guidance we've given you already for this year on OpEx and the moving pieces on gross margin, we actually start to get to our target operating model, margin model exiting the year. And that probably continues through the next year is a safe assumption. So the number if you put in 15, and you put in that, it probably -- it floats above $5. So that was not a prescriptive number, or a firm number. It was just a [indiscernible].

People are going to have their own estimates, and you guys will sort of come up with your own view. But yes, no, I'm not making any comment about any kind of margin changes, or dilution, or losing leverage at all. We're going to get leverage -- we're in the mid-30s [ op ] margins right now, if you kind of look at where we were last quarter and what we're guiding and that should float up throughout the year. And then not calling it exactly for next year, but it probably would be consistent with our -- certainly our exit rate of this year. And so that's a simple way to think about it. So it's -- that would pop out a number above $5.

And your next question is from Christopher Rolland with Susquehanna International Group.

Matt, thanks for answering the question. So mine is around kind of big picture, like the CPO scale-up world. Perhaps if you could describe what it looks like, what it looks like from [indiscernible]? But also in your prepared remarks, you talked about integrating Celestial, it sounds like into the [indiscernible] platform I was wondering, are there potentially like [ UA Link ] switch trays that you might be able to integrate this into as well? And just the timing around such products would be cool.

Yes. Great. Thanks. So yes, on the initial plan on Celestial -- and where we -- and just by the way, on the big picture side, our view pretty consistently for some time now has been that the deployment of CPO and scale out would be relatively limited relative to the -- especially relative to the amount of pluggable transceivers that we're going to get deployed. And you can go back many, many [ OFCs ] ago, and that's been our view. And that's been the case to today, for sure. And then I think on the go forward, relatively wise, it's still the case, although you may see some of the industry. That's not our current plan today, although we could absolutely do that and do that integration with the Celestial technology, and our [ Innovium ] CareLink products. And we've done POCs and we've done some work there, but we'll be ready to react to the market there, Chris, when it's needed.

On the scale up, and you mentioned UAL, that's a perfect use case where that is where we see that CPO technology inflecting in a pretty big way and Celestial brought us a pretty significant design win and engagement in that area. And that's what we're trying to drive for next year. So when we ramp it next year, at the end of next year, the -- that would be serving the scale-up application and it would be both an integration of the photonic fabric chiplet into the XPU, as well as on the switch side. That's the first one.

There will be a whole bunch of shipments on scale up switching that will be copper-based, and that's going to exist for some time, too. But we're seeing very, very strong interest across the board for kind of beyond the next few years of where the CPO for scale-up really starts to inflect. And this has been -- and that's sort of been our recognition over the last year or 2, is that's where that's going to happen and that's why we did the M&A and we brought the team on.

So to sum it all up, we'll be shipping next year CPO for scale up at one large customer, and then we're working on more for beyond that. And then the rest of those deployments would be still copper-based.

I think we'll do one more question and then I'll -- I think we'll wrap it.

Our last question then will come from Mark Lipacis with Evercore ISI.

Congrats on the great quarter. Matt, I'm wondering, when you look at these AI systems that your customers are building, it sounds like the way you're talking about it that there's a bigger bottleneck on the connectivity side and the processor side. And so -- but that would be like the part one of the question. And if you agree with that, what's the argument for, why not shift your process or resources to focus more on connectivity?

It seems like your lead is a lot more obvious on the connectivity side, it's a higher margin business. That's where the bottleneck is. And seems like there's a higher chance to add more value, to get paid for that value. And by contrast, the processor side sounds like it's quite noisy on the competitive front. And I think you guys probably get [indiscernible] multiple because of that noise. And so what's the kind of -- what's the rationale for not doing something like that?

Yes. Thanks, Mark. It's a valid question. So first of all, on the interconnect side -- well, on your first part of your question, I'm not sure what's more of the bottleneck or not? I know for sure, the interconnect is a bottleneck, but you could also argue industry-wide, there's a lot more to do on the processing side. But just to be clear, we are absolutely investing to win on interconnect. Like we're not sort of trading anything off there. I mean we're going all in to make sure that we're the leader here. And that's why you can even see when we did our M&A moves last year, we put all that towards that market.

I would say, though, at the same time, we're in the custom business. The -- and you got to break it into two pieces. On the XPU attach side, obviously, that is more margin-rich. And leverages a lot of the Marvell IP, and technology we have, and those typically are our chips that we do. And we've made quite a nice business out of that.

And then on the XPU side, we want to be a big time supplier to our customers. We do get strategic advantage, okay, in being in that market though, Mark, which was actually even a reason thinking all the way back to Avera when we acquired it out of IBM -- or sorry, out of GLOBALFOUNDRIES back in 2019. And one of the reasons that I wanted to do that acquisition and get Marvell into custom -- I mean I never envisioned it would be this significant business for us. Okay. Let's be clear, back in 2019, we weren't thinking that we were going to buy an asset for $650 million, and it was going to open up a $50 billion TAM, but it did.

And one of the strategic rationales that I had for that deal was that it would put Marvell in a product area where we had to be at the bleeding edge. We had to be at the bleeding edge on nodes, packaging, IP development, and it was a tip of the spear type of product line that I felt would be really good for us to really have a driving force to keep Marvell best-in-class on technology. Because at that time, we were making the move from fast follower to trying to be a technology leader. So now we're in that business. I agree with you. It's got a lot of noise around it, and it's got a lot of controversies over the last year and all the different things that have gone on, and maybe it's affected a multiple. But the fact of the matter is, we're in that business.

Our customers are counting on us. We've grown that business from zero to $1.5 billion. It's going to grow again this year. It's going to double the year after. And it's going to be a significant revenue growth driver for Marvell. So I'm not compromising anything on the rest of the portfolio to be in that business. And remember as well, that business also gets significant funding and contribution from our customers who pay us NRE and put their commitment in to make sure that those programs are successful. So we do get a written in terms of the support to go do them.

And so I'm going to keep -- at this point, I'm in the AI market. I have the full portfolio. I'm going to follow what my customers want me to do. And I'm going to ignore the noise. I mean, if you actually look at last year and all the different things that came out, and all the different noise that was out there, it was all wrong. I mean you actually analysts retracting notes. You had articles that weren't even accurate at all. I mean you had -- honestly, it was all noise. Look at our results that we're guiding, look at our outlook for this year. Look at our outlook for next year. Do you see me blinking? You don't. So yes, we're in the business. We're going to be in the business. Our customers want me to be in this business, and we're going to drive a major significant revenue company at Marvell. I'm very fired up on this topic. Thank you, Mark.

All right. Ashish wrap it?

Go for it.

Yes, I got a couple of closing statements. That wasn't it, by the way, everybody. All right. So first, thank you, everybody, for joining the call. I appreciate the interest in the company. It's always fun. Look, our business is on a very strong trajectory, okay? I mentioned on our prepared results. We had record design wins over the past year. Team did a great job. We're seeing record demand. We're on track to grow our data center revenue at or above 40% for the third straight year. And by the way, if I go back 4 years, 5 years, 10 years, this business has been growing at like 35%, 40%, 45% for a very, very long time, and it's going to continue to do that.

In fact, for next year, we're looking at that growth accelerating closer to 50% next year, and we're driving the company to try to get this company to $15 billion of revenue next year. It's -- I've been doing this job for 10 years. The team has been incredibly dedicated and we have this massive opportunity in front of us. So as I said to Ben, who asked one of the great questions, we set some very ambitious targets for the company for calendar '28, fiscal '29. Almost 2 years ago, it looked crazy. We're on track. We're on track to achieve the goals that we set.

This is the start of it. We're going to continue to update you guys on the progress of the company. And I want to end by just thanking all the Marvell employees for your focus, your commitment, and your commitment to our customers to drive the execution they're looking for, and our goal is to make Marvell one of the big winners in this once-in-a-lifetime episodic AI infrastructure build-out. So thanks, everybody, for your interest in the company. I'll see a bunch of you guys on the East Coast in New York next week.

Thank you. Ladies and gentlemen, thank you for your participation. This does conclude today's teleconference. Please disconnect your lines, and have a wonderful day.

All right. Welcome back to the Barclays Global Tech Conference. We have Chris Koopmans and Ashish Saran from Marvell. Thank you very much for joining.

Thanks, Tom.

Why don't we start off with the big question that I'm sure you're getting asked in a lot of meetings, $3 trillion of announced spend, the ability to deploy the spend in question, are we in a bubble, et cetera, et cetera. You guys are increasingly one of the largest providers of AI silicon in the world. How do you feel about this trend? Are we in the early stages of a long investment cycle? Are we going too fast? Any comments there would super helpful.

Sure. I'll start then maybe Ashish can add. So first of all -- of course, we're in the early stages of a long investment cycle. I mean this -- how you can tell that is the number one, we're constantly being asked to go faster constantly. And we're not able to deliver enough computing power for what the workloads are trying to do today. And so the whole industry is scrambling to build higher speed I/O, faster compute, faster acceleration to solve these big problems that aren't there yet, and you're seeing architectural explosion across the board as well.

So ultimately, I think if you took and said, hey, from 2022 from the launch of ChatGPT, that's probably the beginning of a 10- to 15-year investment cycle. Now those don't normally go straight line. Normally, there's ups and downs along the way, and I would certainly expect that here. But that's kind of -- I'm not really thinking about that. I'm more thinking about sort of like how do we actually get to 5 years from now and deliver everything that is needed. And ultimately, right now, I would say, if anything, our customers are asking us to accelerate and do more, right, in terms of what they're trying to do in 2026 and in 2027. So it looks really good for now.

Great. Well, you guys attack AI through a variety of different ways from the XPU all the way through interconnect. I thought it was interesting, your customers are asking you to do more. You did the Celestial deal at earnings. Maybe talk about what that adds to your product portfolio and why you felt like this was the right time to add that piece to your puzzle.

Absolutely. So if you think about the data center architecture today, and we talk a lot about the connectivity inside the data center architecture. Marvell did the, Innovium and Inphi acquisitions in 2021, which were targeting switching and the optical interconnect technology in the scale-out portion of the network. That's the rack-to-rack communication across the data center as well as the data center interconnect, which is data center to data center. Those are the longer distances. 80% to 90% of the traffic in the data center is in the scale-up portion of the data center, which is the XPU to XPU traffic inside the rack. And so today, the entire optical market, the entire switching market is only 10% of the traffic. The rest of it is really all passive copper today. There's only one major architecture that has adopted a switch, and none of them are using optics.

So our view is in the next 5-plus years, you're going to see many of those architectures move towards a switching architecture, and Marvell is investing in the leading scale-up switch road map, including both UALink and [ ESA. ] We'll be sampling our 115T -- UALink switch second half of next year. And the optical interconnect technology that needs to happen in the scale-up portion of the network, where you're talking about millimeters and inches and meters versus tens of meters and kilometers is a totally different type of technology.

And that's what Celestial AI brings to the table. And just to give you an idea, the very first chiplet that we're going to be delivering is a 16-terabit chiplet, that's 10x the state-of-the-art 1.60 in the scale-out. It's a totally different form factor, a totally different density, totally different bandwidth and totally different technology because it has to be co-packaged directly with these kilowatt XPUs and switches. And so really, between Marvell's UALink road map and ESUN road map and the Celestial AI, Photonic Fabric technology, we're positioned to be the leader in this new TAM that's growing basically from 0 today to probably be bigger than the scale-out TAM 5 years from now.

Yes. I mean just to give you a sense, right, today, we have a $3 billion interconnect business, which is all really scale out and that's 15% of traffic. So you can think about the opportunity we have with this acquisition where you have a much, much bigger TAM opening up over time. So Inphi was awesome. It was fantastic. It's done extremely well. But the market size available in scale-out is significantly larger.

And you put those two teams together, we have the leading optical interconnect portfolio in the industry. And I think that team can together solve any challenges inside the data center going forward.

So you noticed with the deal, very comprised of a lot of earn-outs. And then you also think about CPO from a scale-out perspective. It's taken a lot of years to get to fruition, and now we're talking about it more and more, but it does seem more real now than it has over the last couple of years. Could you talk about when that crossover from a technology perspective really happens? I mean you can obviously look at when you talked about revenue contribution from the company as like your first metric. But is that really a statement on market adoption? Or is it a statement around Celestial being able to compete first in that industry?

So I think generally, it's a statement of two different markets. So most of the CPO technology in the industry, including Marvell's own [indiscernible] investment in our light engine technology was focused on scale out. It's a sort of much longer reach, interoperable market. That's the one that is slow to be adopted. And if you think about that market still, I mean, pluggable, we're in -- we launched our 800 gig in 2022 pluggable technology. It's still growing into 2026. So we already are ramping 1.6T. So you should assume that's probably going to be growing through at least 2029.

We've already demonstrated 3.2T technology. So for the next 5, 6, 7 years, pluggable is still working. So that's why CPO and scale-out is still not being adopted. This is a totally different market. This is scale up. And ultimately, this is not going from pluggable optical to CPO optical. That's a world where people are going to stay pluggable as long as possible. This is a -- electrical has run out of steam and pluggable won't work because of the density and the bandwidth required. So you need a new piece of technology.

So it's really kind of an apples and oranges. I think ultimately, the CPO and scale out, it will still come, but it's still years away. I think in the scale-up world, although everybody is working as hard as possible to make electrical go as long as they can, when it goes optical has to go CPO from the beginning. And so really, the time frames that we put, which is significant revenue. I think we said $500 million in run rate exiting calendar 2027 and doubling to $1 billion run rate by the exit of calendar '28, which you'll notice is probably half of what they would need for the earn-out. So it should be much bigger than that. That's the time frame. And that's really just based on first product, first customer. I mean this -- at the end of the day, the reach of this technology can be massive inside of data center...

Yes. And Tom, in terms of timing of that revenue, yes, I would say that the reason why it's as quick as it is, is I think it's both things. It's one is the maturity of their technology, which is part of the reason why we felt they were the best choice. There's obviously a number of folks trying to go after the scale-up market from a photonic perspective. And the second one, of course, is their ability, especially along with us, where they've already got a lead customer, which is very, very public and that customer's ability to go drive this into production very quickly. We believe this will be the first large commercial deployment of photonic technology within the scale-up network. I think it's, again, it really based on the maturity of the platform they're bringing to the table.

In the intermediary period of time before we move to CPO or optics-based scale-up, you do see other technologies that are inserting themselves into the space, whether it be active copper cables, whether it be AECs. AECs have been used between racks, but also there's a view that you could be used intra-rack as well. So I saw -- it was either yesterday or this past week, time was a flat circle, the Golden Cable initiative. What are you guys doing there? Is that just your effort to work with multiple cable manufacturers, ease of use to the supply chain? Why were you so formal about that announcement there?

Yes. If you think about it, something like a cable is no different than an optical module. And our hyperscale customers want to multisource that. They don't ever want to be -- because these things, you need -- like these are copper cables. You need to be having access to copper long term. There's factory issues that could come up, right? They need multi-sourced solutions in this area, and they came to us and they asked us to provide a multisource solution. So what we've done and what we've been working on now for a year plus is enabling the entire copper cable ecosystem to develop and deliver active electrical cables that meet the standards and quality requirements of those customers.

And so our Golden Cable initiative was basically, think of it as like a reference design that's a full working design to sort of bring it to those companies and show them how to make it work. And I think Foxconn Interconnect Technology so they got it working in 2 months. Our goal is really to be able to come to the entire hyperscale ecosystem and provide multiple partners that they can purchase a working active electrical cable with our DSP. And by the way, the reason we can do that is because our DSP is so strong and so capable in this PAM4 technology that we're able to work across all these cables.

We don't have to control and define the whole thing end-to-end. And ultimately, that's what these customers want, right? Just like in the module ecosystem, we may have a customer that is almost 100% using Marvell's DSP, and we won the design with them, but they still have 3 or 4 optical module companies meeting all of their different needs with all of their different laser types.

If you look at earnings, and I want to just focus in on the PAM4 modulation and your optical DSP. The biggest change, I think, where people's numbers were and where they went was the step higher in optics, where you talked about cloud CapEx growing faster. And as a function of that, your optical business, which has tracked largely in line with CapEx, not with large hyperscaler spend has gone higher as well, excuse me -- you were very careful about splitting these up. So maybe I'll use this forum as well. What does your optical business track with? Why are you seeing that big step up to that 35-plus percent kind of range? And why does it track broadly with that number that you described in earnings?

Yes. I mean that optical interconnect technology that came in through the Inphi acquisition has been on fire, right? It's obviously very high market share. And the attach rate within the data center actually continues to grow. I think we've grown at 50% CAGR for like 4 or 5 years since we acquired that company. And so the way that we look at it going forward is demand is off the charts. I mean if -- even if you just look recently, total Marvell, I'm talking now, but optics is a big portion of it being half of our data center our Q2 was our record bookings quarter ever. Q3 was our record bookings quarter ever. We're only 5.5 weeks into Q4. We've already booked more than all of Q2.

I mean the business is doing incredibly well. And yes, we think it should be tracking above cloud CapEx because it's attached to the AI, and that's tracking above total cloud CapEx. Now I will say that the vast majority of cloud CapEx today is going into something related to AI and how do I [ stand up ] AI. So it's not like it's double on cloud CapEx, but it's higher than cloud CapEx.

Yes. And the reason we end up growing faster typically is because it's the same formula we outlined, which is we are first to market. We're first to sample. We're first to get the customer up and running, and we are first to come out with the next optimized solution. And if you can keep doing that, especially on this accelerating cadence, I think that's what gives you market leadership. So I'm not surprised that we would continue to be growing faster than kind of the underlying market.

And then as you shift to new speeds, 1.6T coming more in volume in '26, still 800G, the vast majority of connections next year. But as you move to 1.6T, what does that share profile look like? And how can you assure that you're in the same kind of position that you were in prior generations?

Yes. I mean it's sort of piggybacks on what Ashish just said, which is like you've got to be first to market with technology that works and has the right power envelopes to deliver these solutions. Marvell's 1.6T, we were first to market with our 5-nanometer solution to demonstrate and make it work with every accelerator. We were first to market with our 3-nanometer, which has the right power for this particular growth vector that's coming.

And ultimately, we have deep long-standing partnerships with all these companies. This is not something where you can just come with the DSP and win share. The qual cycles tended to have happened a year ago, right? Even if you come to market later with a product that works, getting it qualified across multiple module ecosystems, multiple laser types and the exact form factor required by all the hyperscalers takes a long time. And ultimately, what they are focused on first and foremost today is time to market.

Yes. And we said on our call, by the way, that we're seeing literally exceptionally strong demand for 1.6T. While to your point, 800 gig is growing, and it's going to be very, very strong next year. I would suspect at this point in time, we are probably the primary driver of 1.6T in the industry.

Switching gears to the ASIC business. Optics drove the big uptick in 2026 numbers. And off a very large base, it's still growing quite nicely, whatever you think cloud CapEx is into 2027. But I think the most surprising thing on the ASIC side is you talked about receiving purchase orders through the entirety of next year. Can you talk about -- is that with just the one large customer? Or were there smaller deals as well? And then secondly, into 2027, you talked about that business doubling, which was a big step-up from kind of where people had thought before. That actually has you growing at a faster rate, generally speaking, than what cloud CapEx would grow in that year. We'll see. But maybe talk about what gives you the assurance about 2026? And then what's driving that doubling into 2027?

Sure. So first of all, our 2026 numbers, calendar 2026 numbers, our custom business is still a relatively small number of sockets, right? We won -- we started this business just a few years ago. We announced a certain set of sockets last year. We announced we have more this year, but the revenue is still being driven by a small handful of sockets. And so ultimately, the reason why we're showing the growth next year is because we know what the customers want to do. And they told us -- and the reason we talked about the purchase orders for the one, and we have first of all, the lead time on these products are very long.

So you're already getting orders for products we're going to deliver in 8, 9 months from now. So within a few months, probably have orders for the entire business for next year. The comment on the one program, which is the next-generation XPU for our lead XPU customer is really just to try to assuage any concerns that we were going to participate in the next generation. We have the purchase orders for the whole year to support that growth.

The following year, there's really a couple of big things. Number one, you take the base business that we have this year that's going into next year and grow again. Number two, you add in a next XPU customer, which is really more meaningful and the more first meaningful revenue in 2027. And then number three, what we've said is our XPU attached business is starting off a really small base. We said it doubled from last year to this year, and it will probably continue to double into the future off of a small base. And so by the time you get out to 2027 calendar, it starts becoming very significant. And that's growing obviously much faster than cloud CapEx because it's sort of a newer portion of the custom market. So those are really the 3 aspects that give you context...

Yes. I mean just to put some numbers around it, right, just so everyone on the same page, you're basically implying that a business which will exit next year. For full year next year, we implied that number is probably just shy of $2 billion, call it, big large numbers. But the exit run rate, to Chris' point, is probably going to be north of $2 billion annualized when we exit Q4 next year. Just assume, again, just using like 20% cloud CapEx, that base alone grows to like close to $2.5 billion.

And then the next $1 billion plus or minus left to get to our target is really from like two big chunks, right? One of them is multiple XPUs attach socket. And then the balance is from, quite frankly, a very conservative view at this early point of the next big XPU, right? So it's not like we're expecting this $1.8 billion additional revenue from just one single place. It's actually, if you think about it, it's from really three big chunks of revenue, which is, in my view, still a fairly conservative outlook.

And you talked about $2 billion by fiscal year '29 from that XPU attach. Could you help us zoom in on this bucket? At the AI Day and the Analyst Day, you kind of looked at different sockets that you would say contributed to that. What are some of the bigger ones that we should be looking at that would be helpful for us to track?

Yes. So first of all, what we said at our custom AI event was that we thought it could get to $3 billion by calendar '28, which is 20% of what we thought would be the $15 billion TAM. What we said in this last earnings call is that just with two specific applications, we'll get to $2 billion, right? The others are with the other applications. And those two applications -- so when we announced this or when we talked about this in June, we sort of talked about all the different sockets that are in there.

At our recent earnings, we sort of highlighted that we now have two specific applications that we have multiple design wins for multiple generations and at multiple hyperscalers. So they're emerging as their own independent applications. The first one being Smart NICs and NICs, network interface controllers and the second one being CXL memory expanders controllers. And both of these are attached to both standard infrastructure and increasingly into AI infrastructure. And what we said is just those two alone will combine to be $2 billion by calendar '28. And really, it still is just starting. So it's going to grow significantly beyond that based on those two applications.

And if you think about how we got here, these are both areas that Marvell has been investing in IP for a long time, right? Smart NICs are both ARM complexes as well as high-speed network interface control and IP around SerDes and things like that. In CXL, we announced a standard product line for CXL memory expanders and near-memory accelerators a few years ago. And ultimately, just like a lot of the other things in the hyperscale market, it helps them see it and test it and say, okay, I want something custom, right? But it's sort of similar idea but I want something customized for the standard infrastructure and then I want something custom increasingly for the accelerated infrastructure. So those are two of the big use cases. We also have storage accelerators, and we also have security products that are kind of making up the rest of it.

I mean two things to add, I think, which is what we've seen and why these markets are getting more exciting. First, on the CXL side, CXL originally was designed for really basically disaggregating memory from a CPU. And that very much is a use case, and that was our initial design wins. But especially as we now look into a world where you have LLMs, which are essentially going to be storing all the what's called a key value cache, KV caching, where you don't have to regenerate the text stream every time you go and ask the next question, that requires a whole bunch of DRAM sitting very, very close to the XPU.

And that's the point which Chris was trying to make. It's not just attaching to CPUs, but once you start attaching to XPUs, as you know, in traditional AI infrastructure, the ratio of an XPU to a CPU is anywhere from 4:1 to probably 8:1. So the use case is significantly larger than what we'd anticipated. Similarly, on the Smart NIC side, our original assumption is on original design wins were really around attaching only to the custom portion of the rack level infrastructure. But as you know, all of these large hyperscalers have their own networking teams, right? So the attach rate is not just to the custom portion, but it's across their entire network. And some of these guys are driving 1 million and well over 1 million plus AI servers per year. So you can see why we have really started to move this up and it's become a much bigger use case.

I want to ask on the ASIC side. This has been something you've dealt with for over a year. First, there was concerns around your largest customer ramping into '26. And more recently, there's been concerns about, I believe, what you called Customer C at your Analyst Day a long time ago ramping in 2027. Matt was on TV last night kind of offering his opinions as to what's going on with the situation, but maybe clear it up for us. Is this a function of things not being set yet? Is this a function of there just being a lot of noise and we shouldn't be paying attention? Maybe set the record straight on where we are because we've now introduced Customer C in 2027.

Yes. I think Matt said it last night, which is there's a lot of noise. And I mean there's a lot of noise you have to pay attention to the signal -- the signal -- like we've said, we're on track with these programs. I mean those customers -- actually, I saw an article this morning, there was an article by Barron that was sort of reporting on this whole loss of a particular product and actually updated their story this morning saying that they got a response from the customer saying that, that's not true. That's just flatly not true.

The other customer, I mean, the senior leader at that customer spoke at our event a few months ago, right? That program is on track. It's doing well. We just said that and gave you a forecast for our customer revenue ramp into 2027 based on that fact. So nothing changed in the last 7 days that has changed that other than that it seems like these days, people can report whatever they want without having to do any actual research. I mean, by the way, I'm sure anybody that wants to can report that I am also talking to all of our competitors' customers and trying to win business around. Every single day, you can imagine, every single day, I'm trying to win business away from all of my competitors. If that's newsworthy, please report it.

Very helpful. I wanted to talk about NVLink Fusion. If you look at T4, there was announced compatibility with NVLink Fusion. Over time, there's a view what is going on with scale-up, back-end networks. How do you feel like this changes the dynamic? Was that something that you would have expected? And then also, there is a view that with this type of deployment, you're going to need a chiplet or an ASIC that's sitting next to all the silicon that's going into NVIDIA rack. Is that -- that seems like something you could do? Is that something that you guys would be interested in doing?

Sure. So let me take it sort of a step way back. This scale-up domain is brand new, right? I mean, obviously, NVIDIA has the NVLink and announced NVLink Fusion and Marvell has announced that we're part of that capability when any customers want to use that and want us to build custom products that would fit into that NVLink Fusion environment. UALink is new, ESUN is new. All of these things are fairly new. And I think most customers right now are working through how they're going to plan their overall architecture. And ultimately, I agree with this idea of chiplets giving them optionality, right?

When you're trying to build everything into a monolithic die, you have to make a decision right now. Now who would make a decision right now to say, I'm going to go with bet my whole farm on one of these protocols when the industry hasn't yet finalized, and there's no switch on the other end that's available yet to even make sure that it was going to work and what happens if it doesn't come out on time. So I think that, that level of optionality is absolutely there. And Marvell is also going to participate.

Now we think that UALink is the open standard protocol that has been purposely designed for this application. It's effectively taking what is generally today a PCI-based scale-up network that's used today in most of these custom XPU programs and then attaching a much higher speed Ethernet style interface to it. That's kind of what UALink is. So it's kind of purpose-built for a scale-up network in an [indiscernible] world. Having said that, there's a huge Ethernet ecosystem out there of -- and so having that capability makes a lot of sense as well. So as a leading Ethernet switch vendor, we'll build that. We're building our UALink switch. We'll sample our 115T next year alone. And so we're investing in that. And we're involved in NVLink Fusion.

So really, this is about optionality for our customers. And from a Marvell perspective, I think we're -- this move towards chiplets actually helps a lot because that's where we can help, right? And we don't -- if you think about the main XPU die building compute cores, that's not using as much of our IP. But if you think about all these high-speed SerDes and all these interfaces and things like that, that's our bread and butter. That's what we do all day long.

Would that categorize itself in like an adjacent AI opportunity, not a piece -- so that would -- you would put that in the bucket of not just an accelerator, but it would be maybe you talked about...

Well, I mean, if you remember, we announced that NVLink Fusion is also part of our XPU basically portfolio essentially. So we -- that was -- if you remember it was the beginning of the year actually, right? So I think this is not something new for us. I mean this is something which, as you can imagine, we work with all our hyperscale customers well in advance of what you see actually coming out. So this is already part of our portfolio. It's basically that flexibility we are able to provide.

You've seen accelerator guys, general purpose accelerator guys go after more system-based architectures. You've seen IP providers move potentially into more accelerator design. You guys own the capability of doing most of the design for accelerators. You own the interconnect. Would you guys ever consider going after a system-based architecture or something of that nature in throwing your hat in the ring?

Well, if you take a look at everything that we've built, including the recent announcement that we have, we're absolutely comprehending rack scale system-level architectures. Now we believe our place in the market is to be the best partner for companies that are trying to build that, whether that be an OEM that's looking to build a merchant-based platform, rack scale architecture. We have a huge breadth of IP. We can help you do that. If you're a hyperscaler looking to build your own custom rack scale system architecture, we have an incredible amount of IP. We're here to help you do that. So that's really where we believe that we fit is that we have all the capabilities from scale out, scale up, optics, electrics, switching, XPU technology and now the Photonic Fabric technology, everything that you need to help you build the best hyperscale rack size -- rack scale AI data center.

Got it. Pivoting off data center, you compressed your other businesses into a single line item saying 10% growth next year and then in '27 kind of GDP-ish growth. Is there anything that we should be looking at that changes the dynamic? Obviously, I would imagine something like 6G would offer a little more life there. But is there a reason why you're kind of saying that kind of grows at the market plus...

Just as a baseline. I mean you should imagine that the person that's running that business has a target much higher than that. We want to gain share in that...

Who reports to Chris, by the way.

And we expect to be able to gain share. But look, from a baseline perspective, that's not going to be a super exciting market that's going to grow 50% at some point, right? Yes, some of these markets like 6G, that will be a little bit lumpier, but those are markets that don't move in quarters, right? I mean those moved markets that they tend to take years to develop. And -- but ultimately, we expect that, that market will grow at least with GDP and then Marvell should go at least with the market. And in fact, I think we should be able to gain share in that market with the breadth of our capability because the way we position it is, like all this investment we're doing for the data center, and it trickles down to the rest of those markets, where they can't necessarily afford the investment in like the highest speed SerDes in the world, they certainly will take it a few years later, right, and be able to invest it and put it across enterprise networking, telecommunications networks, 5G networks, industrial networking, all those other kind of communications networks.

Yes. I mean within that, I think the enterprise portion probably does grow. I mean we use GDP again, was a very, very simple. We're talking 1.5 years, 2 years out from today. But the reality is enterprise spending typically is faster than GDP. Historically, it's IT spending roughly 2x GDP is more typical. So I think that would be my base expectation. Carrier spending does tend to track carrier CapEx historically is more on the GDP side. So again, look at that as a very, very simple framework for now, and I think we've generally done better than that.

With all these baseline assumptions, I'll tip my cap to you guys. You gave a ton of color on the earnings call around the next 2 years. Napkin math, it kind of equates to something over $5 of earnings in fiscal year '28, calendar year '27. If you look at those numbers, it's always risky to go out just a year, and you guys have expressed that. Going out 2 years, we really appreciate. But when you go out further, there's introducing more risk over time.

When you look at the broader market, you've heard a lot on memory issues and availability. You've heard about potentially digestion of CapEx. You've heard about potentially lasers. There's a variety of different constraints that are limiting some deployments. When you think about your calendar year '27 outlook, what is the one area you stay up at night worrying about kind of from your heritage in the business of what limits you in getting those deployments out?

Well, I think there's probably a couple of things. First of all, you should imagine that we comprehended all of these worries when we gave the numbers. And we could have even a bigger number. I think we gave the numbers because with the comprehension of potential supply constraints, potential -- all these issues, right? That's why I mean we mentioned that some of these parts of these are fairly conservative that we think we can actually do a lot better than that. That includes both the new XP that's ramping. That includes everything else that we talked about.

So if you step back and you say what can go wrong, right? I mean, there's obviously the -- if we just hit the brakes on spending and said slow all the spending down for a little while. I said earlier, my view is that if you take a long enough view, that's not an issue. But it could certainly be an issue for a few quarters. And if that's few quarters happen calendar '27, then that would be a problem. But ultimately, all that other stuff, if you think about the design cycles, they're on track. We won all the designs. We've won the business. They're all in execution.

We've been kind of coming to this for years. If you think about this optical momentum that we've built, right, and the strength that we've built in that business, switching, we bought that product line. It was single-digit millions of dollars in revenue. We grew to $150 million and then $300 million. Now we're saying $500 million next year. I mean these things take a long time to kind of get to this point. And now we have a number of these growth drivers that have now are sizable. Our XPU attach, we said it was really small and it doubled into this year. It will probably keep doubling going forward. So that starts to get towards multiple billions of dollars. So once you sort of have these different sort of growth engines, the flywheel spinning, we have a lot of confidence in hitting those numbers.

Yes. I mean most of the -- which is why we use CapEx as kind of as an index, right, so that you all can basically follow it along with us. And in most of our businesses, we are talking about growing in line or perhaps a little bit above CapEx. I think the only place where we're actually going a little bit above that number really is in custom. And even in custom, it's not for the entire business. It's really for a couple of product cycles, which obviously we're very, very far along on, right? So if you really think about it, really, all I'm really saying is, look -- and I'm assuming a fairly modest 20% CapEx growth assumption for calendar '27. So it's not even close to what this -- I mean, this year is way higher.

Next year, I think the whole market thinks is somewhere north 30%. So I've actually taken that down to 20%. And in most businesses, I'm saying it's at or roughly at that rate. It's only in the custom part where because we obviously have very good visibility to some very strong product cycles is where we are saying, hey, hey, that business doubles, that grows way above CapEx, right? So I would -- that's kind of my point of -- it's really not -- once you kind of go through the chunks, it isn't that big growth, even though it sounds like it, it's really tied to CapEx primarily.

Well, very helpful. Things sound great. Thank you, Chris. Thank you, Ashish, for being here. Appreciate it.

Thank you.

Good afternoon and welcome to the Marvell Technology Inc.'s Third Quarter of Fiscal Year 2026 Earnings Conference Call. [Operator Instructions] Please note, this event is being recorded. I will now turn the conference over to Mr. Ashish Saran, Senior Vice President of Investor Relations. Thank you. You may begin.

Thank you, and good afternoon, everyone. Welcome to Marvell's Third Quarter Fiscal Year 2026 Earnings Call. Joining me today are Matt Murphy, Marvell's Chairman and CEO; Willem Meintjes, CFO; Chris Koopsmans, President and COO; and Sandeep Bharathi, President, Data Center Group.

Let me remind everyone that certain comments made today include forward-looking statements, which are subject to significant risks and uncertainties that could cause our actual results to differ materially from management's current expectations. Please review the cautionary statements and risk factors contained in our earnings press release, which we filed with the SEC today and posted on our website as well as our most recent 8-K, 10-K, 10-Q and other documents filed by us from time to time with the SEC. We do not intend to update our forward-looking statements.

During our call today, we will refer to certain non-GAAP financial measures. A reconciliation between our GAAP and non-GAAP financial measures is available in our earnings press release. As we discussed in our second quarter earnings call, going forward, we are consolidating our non-data center end markets into a single new communications and other end market. The composition of our data center end market remains unchanged. Our earnings press release for the third quarter reports leveled by end market in both the [ buyer ] format as well as the new go-forward format.

Please note that today's call will be longer than typical as we will be discussing the acquisition announced today in addition to a number of extensive updates on our business. You may also find additional details on this transaction in the press release and Form 8-K be filed with the SEC today and a presentation posted on our website on the Investor Relations page.

Let me now turn the call over to Matt for his comments on the quarter. Matt?

Yes. Thanks, Ashish, and good afternoon, everyone. Settle in, okay? We have a lot of good stuff to talk about today. For the third quarter of fiscal 2026, Marvell delivered record revenue of $2.075 billion, reflecting a 3% sequential increase and strong 37% year-over-year growth. Revenue was above the midpoint of guidance, driven by stronger than forecasted demand in our data center end market. As a result, non-GAAP earnings per share of $0.76 exceeded the midpoint of guidance by $0.02. Excluding revenue from the divested automotive Ethernet business, the implied revenue growth for Marvell's go-forward business was approximately 6% sequentially and 41% year-over-year. Momentum in our data center business remains strong with revenue growing 38% year-over-year, fueled by robust AI demand.

We also saw a strong recovery in our communications and other end market, where revenue grew 34% year-over-year as reported and nearly 50% year-over-year, excluding the automotive Ethernet business. We expect growth to continue in the fourth quarter with total company revenue forecast at $2.2 billion at the midpoint. We expect this momentum to continue throughout next fiscal year and beyond. I will provide more context on our numerous growth drivers later in the call. Before discussing our end market, I'm excited to share details on the strategic acquisition we announced today of Celestial AI, which brings an entirely new disruptive technology, a photonic fabric platform purpose-built for next-generation scale-up interconnect. This acquisition is the latest in a series of decisive moves to further strengthen our data center portfolio. Since 2019, we have continued to increase our focus on data center, divesting our WiFi business and acquiring Avera, Aquantia, Inphi and Innovium. These transactions have driven significant revenue growth and scale and have each proven to be an absolute home run. This year, following the divestiture of our automotive Ethernet business, we are continuing to double down on data center with the acquisition of Celestial AI. This positions us to further capitalize on the massive opportunity in accelerated infrastructure.

The acquisition is expected to close in the first quarter of next year, subject to customary closing conditions, including regulatory reviews in the United States and will remain a separate independent company through the regulatory process. AI is reshaping data center architecture as an unprecedented speed. Next-generation accelerated systems are no longer confined to single rack, they are evolving into multi-rack scale-up fabrics that connect hundreds of XPUs in a high-bandwidth ultra-low latency and to any fashion. These advanced fabrics demand purposeless interconnects, engineered to deliver the performance and efficiency required at scale, creating a new TAM for companies like Marvell. Industry analysts are forecasting the merchant portion of the scale-up switch market to approach $6 billion in revenue in 2030. On the interconnect side, we are seeing the dollar content for optics of the same magnitude as a scale-up switch as the optical interconnect attaches to both the XPU and the switch, the opportunity actually doubles, meaning over $10 billion. These are both very large and exciting incremental opportunities for Marvell.

As first evaluated Celestial AI, it reminded us of our early look at Inphi and the products we saw in their PAM technology to transform the scale-out interconnect market. We see even greater potential for Celestial AI's photonic fabric to transform the scale up interconnect market. Interconnect technology is as critical as switching and scale up networks to enable hundreds of XPUs to be tightly coupled together. This is driving a massive increase in the number of links in the network and overall system bandwidth, therefore, creating the need for a fabric which can span across racks. Copper-based interconnects used in today's scale-up systems are approaching their fundamental limits in reach and bandwidth, creating a compelling need for optical solutions. Celestial AI's photonic fabric technology platform was purpose-built for this inflection. It enables large AI clusters that scale both within and across racks using a high bandwidth, low latency, low power and cost-effective optical fabric. This breakthrough enables a true optical solution with greater than 2x the power efficiency of copper interconnects, but with far longer each and significantly higher bandwidth.

In addition to exceptionally low power consumption, Celestial AI solution provides nanosecond class latency and excellent thermal stability, which enables deeper levels of optical interconnectivity into XPUs and switch systems. The thermal stability of Celestial AI's photonic fabric technology is a significant competitive differentiator. It enables reliable operation in the extreme thermal environments created by large multi-kilowatt XPUs. This allows the photonics technology to be co-packaged vertically with the high-power XPUs and switches in a 3D package, enabling the photonic connection to be made directly into the XPU rather than from the edge of the die. This stands in sharp contrast to many other CPO implementations for the photonics engine sits adjacent to the XPU and must connect at the die edge. Celestial AI's approach results in a more compact and integrated solution, freeing up highly valuable die edge beachfront which can be repurposed to significantly increase the amount of HBM within the XPU package. Eliminating beachfront I/O constraints also significantly increases the amount of package bandwidth possible for XPUs and switch systems.

Celestial AI's first-generation product is a photonic fabric chiplet or PF chiplet, which integrates all the required electrical and optical components, including drivers, TIAs, equalizers, SerDes, microcontrollers, modulators, photodiodes and wave guys, all into a compact form actor. This is the industry's first scale-up optical solution delivering an unprecedented 16 terabits per second of bandwidth in a single chiplet, 10x the capacity of today's state-of-the-art 1.6T ports used in scale-out applications. Its compact form factor allows multiple PF chiplets to be co-packaged with XPUs and the scale-up switches on the other side of the link to further increase total bandwidth. Celestial AI is deeply engaged with multiple hyperscalers and ecosystem partners who recognize the disruptive potential of this technology. Notably, Celestial AI has already secured a major design win with one of the world's largest hyperscalers who plans to use Celestial AI PF chiplets in its next-generation scale-up architecture. These PF chiplets will be co-packaged into both the hyperscalers custom XPUs and the scale of switches providing connectivity. This is expected to be the industry's first large-scale commercial deployment of optical interconnects for scale-up connectivity.

Beyond connecting XPs and scale-up networks, the photonic fabric technology platform can enable a wide range of transformational applications over time. First is a pooled memory appliance that uses Celestial AI's photonic fabric to optically connect multiple XPUs to large shared external segregated memory bank. A second use case for Celestial AI's photonic fabric to replace traditional electrical die-to-die connections in multi-die packages. This is just the beginning of a broad set of new applications which can be enabled from this technology. After close, we expect meaningful revenue contributions from Celestial AI to begin in the second half of fiscal 2028. Our base case forecast show Celestial AI's revenue reaching a $500 million annualized run rate in the fourth quarter of fiscal 2028, doubling to a $1 billion run rate by the fourth quarter of fiscal 2029. Following the close of the transaction, we look forward to welcoming the Celestial AI team to Marvell. Celestial AI brings one of the industry's strongest photonic interconnect engineering groups with deep expertise in optics, advanced packaging and high-speed interconnect architecture and systems. In addition, the CEO, founders and key executives from Celestial AI will assume leadership roles at Marvell, continuing our successful integration blueprint from prior acquisitions. These leaders have been at the forefront of Avation and scale up switching and photonic interconnects and their technical depth and strategic insight will play an important role in shaping Marvell's next phase of growth.

Okay. Now let me transition back to Marvell's current business and outlook. As you may recall, on September 24, I hosted a virtual call with investors where I outlined a framework for Marvell's revenue growth for fiscal 2027. At that time, we indexed our data center growth potential to cloud CapEx, which was expected to grow 18% next year. Since then, cloud CapEx growth expectations have increased to over 30%. Additionally, we have seen strong demand increases for our products for next year. As a result, our outlook for next fiscal year is even stronger than the expectations we discussed in September. We expect our Interconnect business, which is roughly half our overall data center revenue to continue growing faster than cloud CapEx next year even with the higher outlook. We expect our custom business, roughly 1/4 of our overall data center revenue to grow by at least 20% next year, also from higher than prior expectations. As a reminder, in the near term, this business remains tied to a few specific sockets. We expect custom growth next fiscal year to be higher in the second half and do not expect any air pockets in custom revenue.

Next year's custom revenue forecast comprehends a transition to a next-generation XPU at a large customer. And I would note that we already have purchase orders for the entirety of next fiscal year's current forecast for this next-generation program. Our revenue forecast for this program remained consistent with our prior expectations. As we look beyond fiscal '27, we have several high-volume customer designs in development with meaningful revenue expected from these programs in fiscal 2028, consistent with our prior communications. For the remaining quarter of our data center business, which includes storage, switching and other products, we now expect revenue to grow by at least 15% next year, up from our prior expectation of 10% growth, driven in particular from increased demand for our switching products. Adding all of this up, we now expect Marvell's data center revenue to grow year-over-year by more than 25% next fiscal year. Please note that this forecast does not include any revenue from the pending acquisition of Celestial AI. And for our communications and other end market, we continue to expect 10% revenue growth next year. Putting it all together, we are looking forward to a strong fiscal 2027.

Let me provide more details for each of our end markets. In our data center end market, we delivered record third quarter revenue of $1.52 billion, representing 2% sequential growth and 38% year-over-year growth. Revenue exceeded our guidance for flat sequential performance driven by increased demand across our networking portfolio. Our industry-leading PAM DSPs, DIAs and drivers continue to see strong demand, with revenue from our optical interconnect businesses growing by double digits sequentially on a percentage basis. Our data center storage and switch businesses also posted double-digit sequential revenue growth on a percentage basis. As expected, this strength was partially offset by a sequential decline in our custom revenue due to lumpiness in demand.

Looking ahead to the fourth quarter, we expect revenue growth from our data center end market to accelerate growing sequentially in the high single digits on a percentage basis and approximately 20% year-over-year. This growth is expected to be driven by a rebound in custom and continued growth in interconnect, switching and storage. Let me now highlight broader trends we're seeing with our established data center businesses and our newer growth initiatives. I'll start with our interconnect business, where we offer the industry's broadest and most comprehensive high-speed connectivity portfolio. As our PAM DSP products enter into their fifth year of 800-gig production, demand for our solutions continues to accelerate underscoring strength of the platform we have built through more than a decade of sustained investment in core technology. Our playbook is simple. First to market, first to ramp with timely follow-up optimized solutions to maintain leadership. We did this at 400 gig, 800 gig and now 1.6T, where we established early leadership with our first 5-nanometer solution, which sampled in February 2024, we then accelerated the launch of our Optimized 1.6T solution and sampled our 3-nanometer product just 1 year later in February 2025. As a result, we are enabling volume production of pluggable 1.6T transceivers across the industry.

We began shipping our 1.6T products in the second half of this fiscal year and are seeing exceptionally strong demand heading into next year. This consistent execution enables us to secure qualifications at major customers well ahead of competitors, reinforcing market leadership. While 1.6T has a long life cycle ahead, we have already demonstrated at the Optical Fiber Conference this past April, 400 gig per lane technology to drive the next industry transition to 3.2T. The demonstration was on 3-nanometer technology, but we expect production deployments, which are expected in calendar 2028 to require 2-nanometer solutions to optimize module power. In addition to our PAM portfolio, we are also enabling longer reach connectivity with our coherent light solutions to support campus-wide data centers in the era of million GPU AI clusters. We introduced our 1.6T coherent life solution last year, expect to start shipping next year, and we are on track to deliver our 3.2T solution the year after. Now complementing our DSPs, our high-performance analog TIAs and drivers remain foundational to our electro optics leadership. Our TIAs have a significant performance lead at 1.6T, and we are seeing strong broad-based demand for our products, which are enabling the entire ecosystem. We have also secured several LPO sockets across multiple hyperscalers and are leading this emerging category as well, although deployments remain relatively small today in the context of a very large transceiver market.

Turning to 2 of our newer interconnect growth drivers, AECs and retimers. Both markets are undergoing a shift to high-speed PAM-based solutions, an inflection point that is perfectly aligned to Marvell's strengths. For the past year, we've been collaborating closely with the cable ecosystem to enable 100 and 200 gig per lane AECs and we are now on the cusp of substantial product ramps. We have secured design wins with significant share positions at 2 Tier 1 U.S. hyperscalers, along with multiple wins at emerging hyperscalers. We are seeing strong demand for our AEC DSPs, and we expect our share to continue to grow as PAM-based 100 and 200-gig technology becomes dominant. Our PCIe Gen 6 retimers are also gaining broad traction. We are currently engaged with more than 30 customers and partners, including hyperscalers, cable partners and system OEMs and ODMs. We already designed in more than 10 sockets, and we expect to enter production in the second half of next year with full revenue contribution in fiscal 2028. We expect our AEC and retimer revenue in aggregate to more than double from this year to next year.

Turning to our data center switching business, which continues to gain momentum. We expect revenue to exceed $300 million this fiscal year. We expect strong sustained demand for 12.8T products, reflecting our key customers' plans to rely on 12.8T as a workhorse in their scale-out network for several more years. In parallel, we've begun shipping our next-generation 51.2T products with a strong ramp expected next year. As a result, we now expect our day center switch revenue to surpass $500 million in fiscal year faster than what I had indicated last quarter. We will also introduce our 100T products next year as we continue to execute our long-term road map. We are also accelerating our scale-up switch efforts. These next-generation solutions are complex as 100T scale-out switches with high ratings supporting up to 576 ports. We are fast tracking our scale-up switch development by leveraging our in-house high-speed, low-power SerDes and experience in developing extremely large reticle size chips. We are deeply engaged with key customers and partners and are on track to sample our UALink 115T and 57T solutions in the second half of fiscal 2027 with volume production expected in fiscal 2028. In parallel with our UALink development, we are also collaborating closely with key customers under E.SUN solutions, completing a scale-up road map to address both standards.

Turning to our custom business. We expect accelerated growth over the next several years. fueled by our growing portfolio of design wins. At our custom event in June, we disclosed a total of 18 XPU and XPO attach socket design wins. Several of these are already in volume production with the remainder on track to ramp over the next couple of years. Since that event, our team has secured additional custom sockets, which represent more than 10% of the $75 billion lifetime revenue opportunity funnel we outlined in June. These new wins include multiple XPU attached sockets and XPU, an emerging hyperscaler and most recently, a design win for an electrical I/O chiplet inside an XPU. This is a new trend we see emerging where customers and partners are partnering with Marvell to gain access to our high-performance networking technology to be integrated along with their core compute engines within multi-die packages which are becoming more prevalent in a reticle size constrained world. This provides Marvell another avenue for custom growth and sockets, which were otherwise not available to us as full XPUs.

Now let me provide additional perspective on the rapidly developing XPU attach market. These attached devices offload specific functions such as network I/O, memory expansion and security, member expansion and security from XPUs, GPUs and CPUs, freeing them up to exclusively focused scarce compute resources on the primary AI workload. We now have more than 15 XPU attach wins, and today, let me highlight 2 major use cases emerging across multiple hyperscalers as they architect their next-generation custom accelerated infrastructure. The first use case is for custom foundational and smartNIC, and Marvell has already secured multiple design wins across several hyperscalers. Our customers plan to attach these mics, not only to their custom accelerators, but increasingly to their broader AI server fleets, which at large hyperscalers can exceed 1 million units or more annually. The second use case we are seeing emerge in the X2 attached market is for CXL-based products that enable memory expansion and acceleration to overcall the memory wall challenge. We made early strategic investments in CXL several years ago, and we have now secured 5 unique sockets across 2 Tier 1 hyperscalers, U.S. hyperscalers and are deeply engaged with the third.

The first custom CXL design win started shipping already in the first quarter of this year and is entering volume production now. A second socket focused on near-memory compute is expected to enter production a year from now. The remaining CXL design wins are slated for production in calendar 2027. Our solutions technical advantages include support for both DDR4 and DDR5, larger memory capacity and compression along with deep partnerships with the leading memory and CPU providers. While our initial wins centered on offloading from CPUs, more recent wins attached directly to XPUs, which are deployed in far greater numbers were several upcoming high-volume CXL production ramps, Marvell is leading the transition to next-generation memory architectures. We expect the XPU attached market to continue to evolve at a rapid pace, and we are very encouraged to see the attach rate of our solutions exceeding our initial expectations. Based on designs we have already won just for the NIC and CXL use cases, we have line of sight to revenue exceeding $2 billion by fiscal 2029 and a significantly higher forecast in the following years. This is why we are so excited about our data center business, interconnect switch, XPU, XPU attach, storage, scale up, scale out, we are everywhere in the AI rack. And we are just getting started with what we expect to be a massive TAM ahead of us.

All right. Let me now move to our communications end market. where we delivered $557 million in third quarter revenue, which grew 8% sequentially and 34% year-over-year. Excluding revenue from the divested automotive Ethernet business, the implied revenue growth for Marvell's communications end market for the third quarter would be closer to 20% sequentially and 50% year-over-year. These strong results were driven by normalizing customer inventory levels and strong adoption of our refreshed product portfolio at both our enterprise networking and carrier infrastructure customers. Looking ahead to the fourth quarter, we expect revenue from our communications end market to grow sequentially in the low single digits on a percentage basis with year-over-year growth of approximately 25% as reported and closer to 40% year-over-year, excluding our former automotive Ethernet business. We expect strong sequential growth from Carrier and ongoing growth from enterprise to be partially offset by a steep seasonal declines in our consumer business. We expect the enterprise networking portion of our communications end market to reach an annualized revenue run rate of approximately $1 billion in the fourth quarter, which would reflect the complete normalization of customer inventory levels in that business. Going forward from this $1 billion annualized revenue run rate, we expect this business to grow in line with enterprise IT spending. While our carrier business has also been recovering and our fourth quarter guidance implies the business to almost double from the year ago quarter, we see continued recovery until this business also settles into its long-term growth trajectory, which would be in line with carrier CapEx.

So in summary, during the third quarter of fiscal 2026, we continue to expand operating margins, grow earnings per share and set new revenue records. We executed our $1 billion accelerated stock repurchase program in addition to repurchasing $300 million of stock through our ongoing buyback program funded by our growing operating cash flow. Looking ahead, we expect momentum to continue in the fourth quarter with total company revenue forecast at $2.2 billion at the midpoint, representing 6% sequential and 21% year-over-year growth. Excluding revenue from our former automotive Ethernet business implied year-over-year revenue growth for Marvell's go-forward business would be approximately 24% at the midpoint of our forecast for the fourth quarter.

As I noted in my opening remarks, we are seeing robust demand signals and strong bookings across our entire portfolio, positioning us for a strong fiscal 2027 and even faster growth in fiscal 2028. Customers are planning to add substantial AI capacity over the next several years and are partnering closely with us on long-term technology road maps and coordinated capacity planning. In addition to benefiting from rapid market expansion, we have several of our own unique growth drivers. Taken the other, we expect strong market tailwinds and new product cycles to drive significant growth inflections ahead of us. As a result, we see a path for our data center revenue growth in fiscal 2028 to accelerate meaningfully above the 25% growth we expect in fiscal 2027. So look, we covered a lot of ground today.

And so before I close, let me just quickly highlight a few key takeaways. First, we have activated Marvell's M&A playbook and expect to close the transformational acquisition of Celestial AI in the first quarter of next fiscal year, enabling us to fully capitalize on the massive scale-up opportunity. Second, our interconnect business is firing all cylinders. Our electrooptic interconnect platforms continue to lead the market with world-class road maps across the board and accelerating demand. Finally, when you put it all together, we are positioned for several years' exceptional performance, building on this fiscal year's projected revenue growth of more than 40%. And I look forward to updating you on our progress over the coming quarters.

And with all of that, I'll turn the call over to Willem for more detail on our recent results and outlook.

Thank you, Matt, and good afternoon, everyone. Let me start with a summary of our financial results for the third quarter of fiscal 2026. Revenue in the third quarter was $2.075 billion, growing 37% year-over-year and 3% sequentially. Data center is our larger end market, contributing 73% of total revenue. Our communications and other end market contributed the remaining 27% of revenue. GAAP gross margin was 51.6%. Non-GAAP gross margin was 59.7%, an increase of 30 basis points sequentially.

Moving on to operating expenses. GAAP operating expenses were $712 million, including stock-based compensation, amortization of acquired intangible assets, restructuring costs and acquisition-related costs. Non-GAAP operating expenses came in at $485 million, in line with our guidance. Our GAAP operating margin was 17.2%, while our non-GAAP operating margin was 36.3%. I'm pleased that we drove a 150 basis point sequential increase in non-GAAP operating margin. For the third quarter, GAAP earnings per diluted share was $2.20, including the gain from the divestiture of the Automotive Ethernet business. Non-GAAP earnings per diluted share was $0.76, reflecting year-over-year growth of 77%, which is more than double the pace of revenue growth demonstrating the significant operating leverage in our model. Non-GAAP earnings per diluted share increased 13% sequentially.

Now turning to our cash flow and balance sheet. Cash flow from operations in the third quarter was a record $582 million, growing approximately $121 million from the prior quarter. Our inventory at the end of the third quarter was $1.01 billion, a decrease of $37 million from the prior quarter. During the quarter, we executed our $1 billion accelerated repurchase program. In addition, we repurchased $300 million of our stock through our ongoing capital return program and returned $51 million to shareholders through cash dividends in the quarter. As of the end of the third quarter, our total debt was $4.5 billion, with a gross debt-to-EBITDA ratio of 1.47x and a net debt-to-EBITDA ratio of 0.58x. Our debt ratios have continued to improve as we have driven an increase in our EBITDA. As of the end of the third fiscal quarter, our cash and cash equivalents were $2.7 billion, an increase of $1.5 billion from last quarter reflecting the addition of proceeds from the divestiture of our Automotive Ethernet business and ongoing cash generation from operations, offset by a capital return of $1.35 billion between stock repurchases and dividends.

Turning to our guidance for the fourth quarter of fiscal 2026. We're forecasting revenue to be in the range of $2.2 billion, plus or minus 5%. We expect our GAAP gross margin to be between 51.1% and 52.1%. We expect our non-GAAP gross margin to be between 58.5% and 59.5%. Looking forward, we anticipate that the overall level of revenue and product mix will remain key determinants of our gross margin in any given quarter. For the fourth quarter, we project our GAAP operating expenses to be approximately $741 million. We anticipate our non-GAAP operating expenses to be approximately $515 million, growing from the prior quarter as we continue to invest in the business, and anticipate higher employee bonus payouts, reflecting a strong expected finish to the fiscal year.

For the fourth quarter, we expect GAAP and non-GAAP other income and expense, including interest on our debt to be approximately $30 million. We expect our non-GAAP tax rate of 10% for the fourth quarter. We expect our basic weighted average shares outstanding to be $850 million, and our diluted weighted average shares outstanding to be $857 million. We anticipate GAAP earnings per diluted share in the range of $0.31 to $0.41. We expect non-GAAP earnings per diluted share in the range of $0.74 to $0.84. Looking ahead to fiscal 2027, Matt already provided an update on our strong revenue growth expectations. We intend to continue to invest in growing our business while driving operating leverage and expect our non-GAAP operating expenses to increase at roughly half the rate of the revenue growth next fiscal year. Keep in mind that we typically see a mid-single-digit sequential increase in OpEx on a percentage basis in the first quarter. This forecast for next year's OpEx does not include any additions from the acquisition we announced today. I will provide that forecast separately. Regarding taxes, we expect our non-GAAP tax rate to move to approximately 12% next fiscal year.

Turning to the acquisition we announced today. Post closing, we expect the addition of Celestial AI to add approximately $50 million in annual operating expenses. We expect Celestial AI to start generating meaningful revenue in the second half of fiscal 2028, at which point it is expected to become accretive to our non-GAAP earnings. We plan to fund the acquisition through a combination of stock and cash on hand and do not intend to take on additional debt. We have a strong balance sheet and are generating robust operating cash flow. As a result, in parallel with paying for the acquisition, we plan on continuing to return capital to stockholders through dividends and buybacks. In summary, we're executing on our strategy to drive strong revenue growth while delivering operating leverage. In addition to organic investments, we are actively deploying our strong balance sheet to acquire a transformational asset that we expect to further strengthen our capabilities and increase our addressable market.

With that, we are ready to start our Q&A session. Operator, please open the line and announce Q&A instructions. Thank you.

[Operator Instructions] Our first question is from Ross Seymore with Deutsche Bank.

Matt, I appreciate all the details you gave about how to think about next year. If I run through those numbers, basically, it sounds like you're implying somewhere around $10 billion in revenue for next year. So I guess, first of all, is that in the right ballpark? And then back in June, you gave a longer-term target for fiscal '29 for your business, especially on the AI side of things. How does what you're looking for next year gets you aligned to those long-term targets?

Yes. Thanks, Ross. I think that's actually a great way to tee up the Q&A here. So yes, a couple of things. I think you're absolutely in the ballpark when you add up the numbers I gave you on $10 billion for next year. And I think that's a great target, actually, by the way, that motivational for us as a team to go drive. And just as a reminder, this is just based on the Marvell organic plan, no M&A contribution. A couple of things about next year, an then I'll actually give you some commentary on how you think about that slope we're on for next year. Another thing I would note, I didn't say in my prepared remarks, but we do expect sequential revenue growth next year, every quarter. So year-over-year, we see a nice growth throughout the year. But I would say the second half of the year stronger than the first and with, I think, a really, really compelling exit rate to fiscal '27.

Now it's a little far out to go all the way to '29, let's say, but let me just give you a path sort of on where we're headed and how we think about fiscal '28 and how we build on that strong second half we see next year. So a couple of things maybe to talk about those same businesses. So first on custom. And just as a reminder, I mean, basically, we quadrupled that business from calendar '23 to '24, we doubled it from founder '24 to '25, we're saying it's going to be up about 20% this next year. But then when I look at the year after with all this goodness from XPU attach plus a new meaningful XPU socket ramping and the other programs continuing, we see the custom business action in fiscal '28 doubling off of '27. So we see a reacceleration big time in that year. And that puts us on a nice trajectory towards our growth targets fiscal '29 in custom coming off a strong second half next year and then in fiscal '28.

On interconnect, look, it's early, but we do expect that business should continue to outgrow CapEx. It's done that for a long time. Look, you just said, hey, 20% CapEx growth in fiscal '28 and nobody knows what the number is, but just pick it in there for now, we'll definitely grow above that. I would say our customer forecast support a much higher number than that. But just as a base case, just assume CapEx is 20% that year. And so -- so optics will grow faster. And then for storage switch and the other part of data center just assume 10% growth in fiscal '28 over '27. I think that's a reasonable set of assumptions to use based on what we see. And so when you actually add all that together, you come up with a number of bottoms up, which looks more like 40% growth in data center in fiscal '28. So that's what I was talking about in my lead-in, which was strong data set 45% growth basically this year in data center, targeting 25% next year and then 40% the year after. And if you actually look at it over like the cycle where we started back in calendar '23, that's like a 50% kind of compounded growth rate, we'll be growing our data center business. So the '28 numbers I'm laying out for you are not totally crazy.

And then just for reference, if you just sort of plug in comms and other growing at GDP for fiscal '28 just to keep it simple. Again, it's too far out you basically get Marvell growing like another 30% in fiscal '28, which would be above where we looking for '27. So kind of a long answer, but maybe what's been a lot of investors' mind is how do you get from where we are to where we're going, but certainly, we're very optimistic about our outlook over the next couple of years. And then things like Celestial AI and some of these other big growth drivers, those are going to kick in starting in fiscal '28, but then really in '29 and '30 and beyond. And I think through the end of the decade, it's looking very bright for Marvell. Thanks for the question.

Our next question is from Harlan Sur with JPMorgan.

And congrats on the Celestial acquisition. Today, Matt, your lead AI customer announced their next-generation 3-nanometer AI XPU product. And I think you just said you have secured purchase orders for this program for the entirety of next year. But your lead customer also preannounced their next-generation 2-nanometer XPU product today as well, which we believe we're also involved with, especially now with the Celestial team. I remember at the June custom AI event that the team talked about concurrent design programs. In other words, at the same time, you're towards the tail end of your customer's 3-nanometer design. You're already starting to work with customers on their next-generation 2-nanometer designs. During our fireside chat in September, you talked about the team being heads down focused on 2-nanometer designs. You even talked about next-generation A16 and A14 technologies. Can you just give us an update on your sub 3-nanometer design win pipeline does include both XPU, XPU attach programs? And what's the time line for these programs to ramp into production?

Yes. Thanks, Harlan, for the question. And yes, just in the spirit of customer confidentiality and details, I can't go into too much. But what I would say, which is incorporated into our numbers is that our product transition from where we are today with our lead XPU customer to the next one is baked into all the numbers I gave you and I got the backlog and I got the orders and we got great visibility there. On the 2-nanometer, very exciting. I mean there's a number of programs that we're working on in this area, and that's going to be a workhorse process technology for us. But same as I said, and I would just say that the design funnel keeps increasing there. And the power benefits you see are compelling. And I think that will continue. I mean that's really where AI has sort of kicked in to keep the Moore's Law train running is really the just the power savings are worth real OpEx dollars when you can save power dissipation from one generation to the other. So nothing really new to report there other than just heads-down execution and do see strong product ramps coming over this time period I gave you, especially in the fiscal '28 where you'll start seeing some of the 2-nanometer products ramp. And my team internally just to give them a shout out is executing extremely well. The whole team you saw that got up there at the AI investor event in June by engineering leadership, executing extremely well across the board on the core IP, the nodes, the packaging, you name it. So we're really firing on all cylinders internally. Thanks, Harlan.

Our next question is from Tore Svanberg with Stifel.

Yes. And congratulations on the acquisition. I had a question on Celestial AI, Matt. So when you gave those $500 million and $1 billion target, would that be for the PF Link products only? Or would that also include some of the potential businesses with memory?

Yes. Yes. A couple of things to note, maybe at the highest level. The first is, yes, the revenue targets and also the earnout that we're all going to drive for is all based on Celestial AI in totality. Now the reality is from a lead perspective, the PF chiplet is sort of what's going to go first. But everything is on the table, and there's just tremendous activity that, that team has driven punching way above the weight in the industry in terms of the engagements they have. So those are all in numbers, but clearly going to be driven more from the PF chiplet side in terms of the revenue build in end of fiscal '28 and then the end of fiscal '29.

Our next question is from Chris Caso with Wolfe Research.

Also a question about Celestial. And with that revenue ramp that you're expecting at the end fiscal '28, beginning of fiscal '29, can you talk about the breadth of that? And obviously, I'm sure you're not willing to name the customers right now. But is it a fairly narrow customer base, what's the -- and going over time, how diversified is that revenue stream?

Yes. No, great question, Chris. I think that the engagement is certainly broad, but remember, we're -- there's a bold effort across the industry to really bring this product into volume stable production, and it's going to take real big companies and a few of them to do that. And so yes, we have strong engagement across the board, but there will be -- and we're fortunate with this that we have -- as I said on the call, we have one Tier 1 hyperscaler that's we're engaged with on this that I think is a great partner and a great teaching customer and a great way to -- great customer to collaborate with to really go make this happen. So it's very exciting to see Celestial come into Marvell because -- just as a reminder, we have an incredibly strong internal silicon photonics organization. I mean this team that we got from Inphi pioneered this technology. We drove it into high-volume production and market leadership in the 100 and the 400-gig ZR business, now 800 gig. It's all the DCI stuff they enable. That's on the back of very, very innovative silicon photonics technology. So we have a ton of know-how here. So then when we bring in Celestial, we're all going to benefit from that common set of learnings and then having a lead customer pulling us through is very exciting. So I think this is just the first phase here, Chris, that you're going to see. But certainly, the interest is there across the industry. And this is just so evident to us over the last couple of years and really pronounced at the last strategic review. It's a process I run every year where we do our capital allocation review with everybody, and I was a couple of months back, and we're just staring at this just giant transition to photonics inside the data center in that TAM. And we looked at could we do it ourselves, could we do it with the partner and we just concluded this is a home run to bring them in with our internal team plus really a lead customer to pull us through the first wave. But beyond that, we see very broad adoption beyond that time frame. Yes.

Our next question is from Harsh Kumar with Piper Sandler.

Congratulations, Matt and the team and a lot of good things happening. Matt I had two. So I'll just ask them both together. The first one is on custom. You specifically mentioned at least 20% growth for next year. Seems like you've got a lot of good things happening, a lot of good stuff ramping. And I was hoping that you could book in that number for us. So at least 20% to me seems like that's what's in the bag. But maybe you could give us a sense of what -- if everything worked out right for you, what could be a normalized 2027 FY growth rate for custom? And then the second question was you gave us a lot of color all the way to FY 2028. And this is kind of not the norm on Wall Street, most companies go out of a quarter, as you well know. So my question is, and this we've been getting from a lot of investors already is what is your comfort level? And what is the visibility on some of this long-term revenue materializing that you're talking about?

Yes, sure. A lot in there, but let me unpack it. I think the first is, you should definitely model the 20%, and I think that's -- that is a good number. That's a good safe base case number. And remember, it's a handful of programs today. So I think I would just go for that now. Clearly, we're going to be ready if people want to do more, but I am also mindful of some of the history on this custom business where either people got ahead of themselves or there's a lot of noise in the system and it's just -- look, we've got strong backlog, we got that covered. That's great. If we do better later, we'll definitely update you guys. But we got a very, very good outlook for next year in that business. And then obviously, the year after it really builds. And kind of part of your question is it's not 20% sort of linearly, meaning the second half, especially in custom and the exit rate is much higher than where we are now. And that's simply because we're building all this momentum into fiscal '28.

And then yes, on the sort of guide quarter at a time, that's definitely been RMO historically. I think given the multiyear cycles we're looking at now in the AI infrastructure build and also, quite frankly, just being sensitive to investor feedback about looking at some pretty ambitious targets we've set for the company several years out. And then wondering, well, how do you see yourselves getting there? And I just view it as it's incumbent on me to paint the picture for folks and share what I see as kind of base case assumptions, as I mentioned. I mean these are what I view as the base case, not dream the dream, not putting anything in that we -- is sort of a maybe. I think it's very rational how we came up with our fiscal '27 outlook and even our fiscal '28 if you just look at it bottoms up on the custom, we should definitely be able to do that because we know those programs. I mean if I say CapEx is growing 20%, it certainly may do better, and our optics business is growing way above CapEx, so that has some legs to it.

And then look, even in a quarter, that other category in switching and storage and other has also floated up. So there's still a lot of goodness out there. But I think just from a modeling perspective, that's what you should think about. And I would say, finally, it really though is tied to our customer planning. I mean they're realizing to go get all this build to happen. They've got to provide visibility several years out. That's giving us increased confidence in our outlook because we're having to plan around that. Our R&D schedules, our capacity, our ramps, all that stuff has got to go kind of 6 to 8 quarters out now to really be ready. So that's also part of why I felt it was worth sharing this perspective for investors. And again, I think it's timed well as well with Celestial because then that thing just kicks in beyond the time frame I'm talking about fiscal '29 -- I mean some of it 20 -- in fiscal '28 but then early '29, '30 and beyond. So hopefully, that was helpful. Thank you so much for the question.

Our next question is from Blayne Curtis with Jefferies.

I want to ask you, Matt, I know it's always tough to talk about customers, but you did file an 8-K and it says you graded Amazon a warrant for 1 million shares to buy photonic fabric. So I guess, one, very simply, is that your lead customer? And if you can maybe talk about that expanding relationship, obviously, there's been a lot of back and forth your status to the customer, but this seems like a positive in terms of your engagement for the next generation?

Yes. And great job checking out the EDGAR website, Blayne, you're always one step ahead. Yes, I think it's great. So first, we did file Form 8-K talking about really an extension, if you think about it to the warrant agreement we have, which is effectively adding a new swim lane. I mean if you can believe it it was only 1 year ago that we announced with AWS a warrant and strategic arrangement with them. Back then, a year ago, it was really bucketed between AI, custom products and then networking products. And so think of this as just adding another swim lane of photonic fabric products to the mix. And all in, the potential of each of these is quite significant. So that's a positive on the first one, that's out there. Also pleased to get a very, very strong support in our press release for the acquisition from AWS that was positive. And so when you sort of look at all the things we're saying and all the data that's out there, you can sort of figure out where we're headed with this and who is helping drive this technology forward. We're very, very excited about where we can go with this technology, especially with our lead Tier 1 hyperscaler but then also the rest of the market, which I think will be shortly behind them once we can roll the full force of Marvell behind this. So thanks for catching that and giving me a chance to talk about it. It's pretty exciting to see. Really, if you think about it, we've got the warrant agreement, we got an aggressive earn out that the team is driving, which is a $2 billion number, by the way, through the end of fiscal '29. So all this adds up to just a great sort of set of incentives for everybody to go execute like crazy and bring this into production.

Our next question is from Vivek Arya with Bank of America.

Matt, I had 2 kind of questions on the data center, one on optics and one on custom. So on optics, what correlated to cloud CapEx? Why not do growth of AI accelerators, which is expected to be much faster than the 30%? And then on the customer side, you mentioned 20% as the baseline growth. Is that because the second customer is supposed to come on board? Or is it because you will grow with that first customer? And I ask about the second customer because they don't have a history of ramping, big ASIC program. So I just wanted to get your overall views on optics and [indiscernible] related to CapEx. And then on the custom side, just kind of puts and takes of the second customer that's supposed to come on board.

Yes. Thanks, Vivek. Yes. So on your first question, I mean, just the rationale was just to give just a broad proxy to the investment community about how to think about our business of sort of a very common metric, which is CapEx. I agree with you. The optics business is fundamentally driven by AI and AI acceleration. And that's why it's been growing so far above CapEx each year. And -- but I think this was just in the interest of providing some pretty broad brush strokes, but you should certainly assume that the optics piece is tied to AI, which is growing faster than CapEx. So that's a fair assumption. But just this was really in the spirit of making this a proxy. And then on the growth next year, yes, that's all still driven by -- the way to think about it is mostly our current business today. So there's a product transition with our lead customer from one generation to another in there. There's some XPU attached that's kicking in the second half that's going to lead to the '28 and '29 revenues I was talking about. But the next bigger XPU customer we have, not much of that really you should count on for next year. It's really the year after and that's captured in the doubling from fiscal '27 to '28. But I think we've got a very rational base plan for that, that we think is achievable. And then obviously, if things improve or get better, then we would up those numbers. But I think what we're trying to do right now, Vivek, has just paint a very rational, clear picture for people, and then we'll obviously update along the way more on a granular basis as we go forward. .

Our next question is from Christopher Rolland with Susquehanna.

Congrats on the results. So I think your main competitor in ASIC has moved to providing racks, not just silicon. And then with this acquisition and kind of given the increasing complexity we're seeing out there, might you be moving to systems and then perhaps even rack-level solutions as well? And do you have the capabilities to do that?

Yes. Thanks, Chris, for the question. And I would sort of answer the second part, which is, we are very much looking at this as a rack-level solution in totality and that is all the various flavors of optical interconnect. I rattled through a bunch of those. We're the one-stop shop, right, from AECs, traditional DSPs, retimers, LPOs, photonic fabrics and then scale up and scale out switching and XPU attached sockets and circuits to make all this work. And then working closely with our customers with that vision on how we enable that entire end-to-end and enable them to do that. That's our current strategy. And most of the people we're working with have that capability themselves today. They're very good at it, but we also add quite a bit of value in how to think about how to pull it all together. So we absolutely have a rack scale vision, and this is where Celestial AI really fits in. But we don't have any system-level revenues comprehended in anything I've talked to you about over the next 2 years. But certainly, from a strategic standpoint, it's imperative, right, that we go to market in a very comprehensive way, Chris, and not in a point solution way, but rather be able to provide all the fundamental pieces right from the biggest XPU chip all the way down to a retimer on the board.

This was our final question for the evening. I'd now like to hand the call back over to management for any closing comments.

Yes. Fantastic, and thanks for all the great questions, and I appreciate everybody listening. I know it was a lot. I think this was the world record for the longest prepared remarks I've ever done. But like I said at the beginning, it's [indiscernible] because there's a lot of good stuff. And there really is a lot of great things happening with Marvell. I'm just really pleased with how our team has executed. I want to say thank you to all of them. we have a phenomenal setup for next year, as I indicated, and even through the next year, we just have very good visibility. Programs are on track. We are playing offense in this company, okay? We're out doing strategic acquisitions like Celestial AI, and we're thrilled to welcome them to the Marvell team. And I think our future is very bright where we're headed. So appreciate everybody's interest. I look forward to follow-up conversations and appreciate all the investor interest in following Marvell and our journey. Thank you, everybody. Have a great day.

Thank you. This concludes today's conference. You may disconnect your lines at this time. Thank you again for your participation.