Good afternoon, and welcome to the Marvell Technology Incorporated Fourth Quarter and Fiscal Year 2024 Earnings Conference Call. All participants will be in a listen-only mode. [Operator Instructions] Please note, this event is being recorded. I would now like to turn the conference over to Mr. Ashish Saran, Senior Vice President of Investor Relations. Please go ahead, sir.

Thank you, and good afternoon, everyone. Welcome to Marvell's fourth quarter and fiscal year 2024 earnings call. Joining me today are Matt Murphy, Marvell's Chairman and CEO; and Willem Maintjes, our CFO. 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 10-K and 10-Q filings. 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 the Investor Relations section of our website. Earlier today, we announced our accelerated infrastructure for the AI ERA Investor event, which will be held in New York on April 11. Please refer to our press release for more details. We look forward to updating investors on the exciting opportunities we see in front of us from the growth in accelerated infrastructure. Let me now turn the call over to Matt for his comments on the quarter. Matt?

Thanks, Ashish, and good afternoon, everyone. For the fourth quarter of fiscal 2024, Marvell delivered revenue of $1.43 billion, growing 1% sequentially above the midpoint of guidance. In addition, on a non-GAAP basis, the Marvell team drove a substantial 330 basis point sequential increase in gross margin, completed execution on the OpEx reduction plan we outlined earlier in the year and delivered earnings per share of $0.46, growing 12% sequentially. As Willem will tell you in greater detail, we also drove another strong quarter of operating cash and increased share repurchases. We are pleased to report these results to you and remains a challenging macro environment. In our data center end market for the fourth quarter, we drove record revenue of $765 million, above our guidance, growing 54% year-over-year and 38% sequentially. The strong revenue growth in the quarter was driven by the cloud portion of our data center end markets. While AI has been a key growth driver, I am pleased that our standard cloud infrastructure revenue has also grown every quarter, and we see that continuing next year. Our 800-gig PAM solutions led our growth in the fourth quarter. We also benefited from higher sequential demand for our storage products as that portion of our data center end market continues its recovery. Revenue from our Teralynx Ethernet switches also grew sequentially in the quarter. Turning to the first quarter of fiscal 2025. We expect our overall data center revenue to grow in the low single-digits sequentially on a percentage basis. We expect revenue from both AI and standard cloud data centers to continue to grow sequentially. We project our electro-optics revenue to continue to be strong, and we also expect to benefit from the initial shipments of our cloud optimized AI silicon programs. Partially offsetting this growth, we…

Thanks, Matt, and good afternoon, everyone. Let me start with a summary of our fiscal year 2024 results. Marvell delivered $5.5 billion in revenue with a strong second half performance from our data center end market. Driven by AI applications, our data center revenue in the second half grew by approximately 50% over the first half. GAAP gross margin was 41.6%, GAAP operating margin was negative 10.3% and GAAP loss per diluted share was $1.08. Our non-GAAP gross margin was 61.2%. Non-GAAP operating margin was 29%. And our non-GAAP earnings per diluted share was $1.51. We returned $357 million to shareholders through dividends and buybacks. Moving on to our financial results for the fourth quarter. Revenue in the fourth quarter was $1.427 billion, exceeding the midpoint of our guidance, growing 1% on a year-over-year and sequential basis. Data center was our largest end market, driving 54% of total revenue. The next largest was enterprise networking with 19%, followed by carrier infrastructure at 12%, consumer at 10% and auto industrial at 5%. GAAP gross margin was 46.6%. Non-GAAP gross margin was 63.9%, growing 330 basis points sequentially, driven by a significantly better product mix as we had expected. Moving on to operating expenses. GAAP operating expenses were $697 million, including stock-based compensation, amortization of acquired intangible assets, restructuring costs and acquisition-related costs. Non-GAAP operating expenses were $429 million, in line with our guidance. These results reflect the successful completion of our fiscal 2024 cost reduction plan we had outlined at the beginning of the year. GAAP operating margin was negative 2.3%, while non-GAAP operating margin was 33.8%. For the fourth quarter, GAAP loss per diluted share was $0.45, non-GAAP income per diluted share was $0.46, growing 12% sequentially. Now turning to our cash flow and balance sheet. Cash flow from operations…

[Operator Instructions] Our first question will come from Ross Seymore with Deutsche Bank.

Clearly, it's kind of a tale of two cities, the data center and AI side is going to be really strong, the rest of it not so much. So why don't we just get the bad news out of the way first. The magnitude of the drops ex your data center are kind of shocking. Can you just walk us through how much of that is something that is not going to come back, some of the stuff in 5G, et cetera, versus what do you view as just taking the cyclical medicine and then a snapback should it ensue soon thereafter?

Yes, definitely a tale of two cities. On the carrier enterprise and consumer side, the way to think about it is, sure, the drops are pretty steep in Q4 and Q1. We're definitely going through a cyclical downturn in the industry, you've been doing this a long time, so have I, we've seen that happen, and that's what we're going through. The way to think about both of those businesses is at their peak, together, they were about $2.5 billion in revenue, and this would sort of be during the pandemic and some of the supply chain issues that went on. You can now see we're shipping well below that. And so I said in my prepared remarks, both of these are very solid businesses, Ross, for Marvell. Both will recover to greater than $1 billion in revenue, over time, the question is when. And remember as well, within these businesses, these are very long product life cycles, typically like seven years in production. So these are designs. In some cases, we won 3 or 4, 5 years ago, some of them we just won a year or two ago. So we feel good about these businesses, but they are going through some demand softness and some inventory correction, but we expect to see that behind us. And to be very specific, none of this is due to any business that's not “coming back or share loss”. And in fact, when things recover back to a normalized run rate, we do have Marvell product growth drivers in both of those segments, carrier and enterprise to drive growth going forward. So we're just managing through it in the short term.

The next question will come from Matt Ramsey with TD Cowen.

I guess kind of a two-part question on the custom silicon business. The first part of it, Matt, you gave us some good color in your script as to how you see $200 million exiting the year and exceeding the $800 million for next. You kind of referenced the billion dollars at scale. And I just wonder if you could maybe square the rest of that, circle with that just for business you've won today for fiscal '26 or is there more to come? And I guess the second part of the question, my observation is you guys probably have, A, more shots on goal for custom silicon, and B, each one of the shots on goal could be potentially a very large or larger than expected piece of business given what's happening in the AI trend. But I guess my concern is as you evaluate those opportunities when those programs will be shipping 2, 3, 4 years in advance and trying to figure out how those programs would sort of align with the dominant player in the space's road map 2 or 3 years out and the pace of that innovation. Like how do you guys evaluate the potential for the size of the business when lots of shots on goal, but the probability of each of those shots ongoing being successful might be hard to gauge given how quickly the industry is moving. Hopefully, that makes sense. I'm just trying to get an idea of how you're scaling the business and taking on orders given all the volatility and rapid technology advancements in this space.

Okay. Let me just tackle them both. On the first one, yes, super excited about the ramp we're seeing now on the custom silicon programs we won a couple of years back. So we're shipping in Q1 on both programs. It's fantastic. We gave some color in the prepared remarks on the exit rate being $200 million plus. I don't want to cap that at this point, but certainly, that's sort of the way to think about it as the floor, and then we go from there. So that would imply, obviously, in fiscal '26, a much larger number than the $800 million we had called out. And again, I think it's still dynamic and still early but we're very excited from the bullish forecast we're seeing from our customers. So '26 looks very strong from the programs that we've won, and we should be way ahead of the plan that we had articulated a ways back. On the second question, yes, I don't think I've ever seen more design win activity in my career as right now, in AI, custom silicon, networking, optics, you name it, this whole transformation that's going on and data center architectures is creating this massive opportunity for Marvell specifically on the custom portion of it. I mean, we're talking about a TAM creation that's going to be in the tens of billions of dollars range. And we'll talk more about that at our AI Day. But very significant sort of opportunity that's emerging in front of us. And that being said, I view that as very complementary to the merchant leader in this space. I think both have a place given the workloads that are required, given the scale of computing that's needed. And I don't think it's a zero-sum game. I've been saying this for a while. I think both segments, the merchant side as well as the custom side are going to grow to be very enormous TAMs. And so yes, we're right in the mix on all the major opportunities and programs. We have assembled an incredible team, an incredible portfolio of technology. We announced today our continued partnership with TSMC with a very full and robust roadmap of IP and technology to specifically address AI and accelerated computing applications for the next generation. So that's got a lot of excitement with the customers as well. So yes, overall, we're very bullish, and we think the whole -- all the boats are going to lift on this one and certainly for Marvell creates a huge new TAM opportunity that we really didn't have just a few years ago.

The next question will come from Christopher Rolland with Susquehanna.

I guess, first of all, Matt, thanks for giving the custom ASIC opportunity numbers again. I think that means, probably means you guys have a pretty strong pipeline. But I would love to drill down on that a little bit more. So I guess, first of all, maybe you can talk about these opportunities, training versus inference, how you see that versus perhaps just compute? And then what's kind of the -- do you have a secret sauce that's landing these? Like your competitor has really used there at the time, leading edge SerDes IP as a driver of those wins. Is there something that you have some special sauce that are winning these?

Yes, hopefully, some of the custom numbers were helpful. Investors last year and this year, there was a lot of interest in sort of what the size of that was. And now that we've got the visibility, it's great to start articulating where we think that is. I think on your second sort of piece of your question around training versus inference and compute. At this point, I would just put it in a very large bucket of what I'm calling decabillions [ph] in TAM creation. I don't know that we're -- I'm on this call certainly prepared to slice it out. And I don't even think we know where this is going to be in three to five years relative to that exact split. But I would say the opportunity set for us crosses all of those applications, okay? And then relative to where we are in terms of our technology, our competitiveness, I mean it's pretty astonishing if you think about it. When we won the designs we won, Chris, at 5-nanometer, that was really our first time as Marvell to compete in this segment, especially in the data center. The origins of this business go back to our purchase of Avera in 2019. We pivoted that roadmap during dependency of the close and right after from 14-nanometer technology all the way to 5-nanometer and even though it was our first time out, SerDes was competitive, packaging technology, interconnect, manufacturing scale, strategic partnerships up and down the supply chain, and that enabled us to win a significant share of ASICs in business, which is now coming to fruition here in fiscal '25 and '26. We followed that up with our 3-nanometer platform, which has now been a big part of the opportunity set in the funnel we're competing in today. We are in a completely different position now relative to 5-nanometer because we had the learnings, we had the readiness. And now we're really leaning in, okay, in terms of being a first mindset around not just nanometers, but die-to-die interconnect, packaging, SerDes technology, optics and really in chiplets and think about how to stitch all this together. And on top of that, with the scale of Marvell and our strategic partnerships, we really look to our customers like an incredibly solid, trustworthy long-term partner for their needs to really help them realize their AI silicon ambitions. So that’s where we are today. I mean we did great on 5-nanometer, we’re going to do great on 3-nanometer, and we’re going to do great in the future. Thanks.

The next question will come from Quinn Bolton with Needham & Company.

I'm going to follow-up on the cloud ASIC question as well. But I guess I'm coming at it from a margin perspective. Matt, you look at some of these programs on the cloud compute side to the extent that they integrate high-bandwidth memory. It certainly does nice things to the ASP, but there's also a pretty significant costs that you may have to pass through. And so I'm wondering, can you talk about the gross margins on some of these ASIC platforms, how does that compare to the corporate average? And as you ramp, especially if cloud ASICs get to be similar in size to the optics, which I know are good margins, how do you see the margin mix changing with this now very, very strong ramp of cloud ASIC programs? And then I've got a quick follow-up, if I can sneak it in.

Sure. Yes. I mean on the way we've talked about that business, actually since Avera in 2019 is that it would always due to the nature of custom business be at a lower gross margin overall than the company average and the target. At the same time, because of the NRE and non-recurring engineering that we receive as part of the customer funding of these programs, the operating margins of this business tend to be very competitive and over time, in line with our company targets. When you start talking about these very, very large programs, you've got opportunity given the volume and scale on the OM line to really drive a lot of leverage in the model. But the GMs, just due to the nature of that business model will always be a little bit lower than the total. I would say, though, at the same time, because the sort of follow-on sometimes is we'll see if that happens and what happens to the overall company gross margin profile. And remember, we still have very strong gross margin merchant businesses in storage and in networking, automotive. Some of those were even under-shipping demand right now. So as the year plays out, some of those businesses will come back and that should be a little bit of a margin offset to some of the custom stuff. So we're still managing to our long-term target model. But yes, the cloud stuff, especially if these volumes certainly lower gross margin. You got a quick one for the second? We can do it, otherwise, we've got to [indiscernible].

Yes, quick one on the second. You mentioned sort of ramping AECs at multiple hyperscalers this year. Just wondering if you might be able to give us some sense. Is that meaningful? Any sense on the magnitude of that ramp?

Yes. I think what I'd say is it's absolutely a real market. We felt that way for some time. Even back when we acquired Inphi, that was sort of a shot on goal we thought was possible. I think the big news is that we're qualifying at multiple hyperscalers now. We're starting to go into production this year. We'll get a very nice, solid kind of more full year-ish ramp in fiscal '26 but it's definitely an incremental additive category to Marvell. And it really leverages our high-speed or high-performance DSP and PAM technology, which is really now inflecting in this wave of AC before it was based on the older modulation techniques which where we didn't participate. So yes, really excited about it, but let it play out for a few more quarters.

Your next question will come from Harsh Kumar with Piper Sandler.

Matt. So AI is hot, there's no other way to put it. You are in kind of a pole position with your optical piece, Inphi piece. Can you give us a sense of the magnitude of the size of that business, either quarterly or last year? Anything you can provide us that helps us size it? And also kind of what kind of growth rate you expect to see from this business? And then, Matt, when you say the bottom is for some of the pieces like consumer and networking the bottom will be this 1Q time frame, what piece do you think will come off the bottom in 2Q? Or do you expect all the pieces to come off the bottom in 2Q?

Okay. Let me do this. I'll take the first one, and I'll let Willem take the second one. So I can take a breather and he can you can also answer your question. Yes, on the first one, I think we gave some pretty good color. I mean, if you think about it, the Q4 exit rate on AI, right, was well north of $200 million. And the bulk of that, as we said, was in optics. So if you just -- and then you can start extrapolating well jeez, and you got to add in how much revenue is Marvell getting on the standard cloud side in optics, and that's another very nice chunk. And then you've got some of the stuff that we have that shows up on the carrier side, I'm talking about Inphi now, on the coherent DSPs. There's some ASICs that we have. So the overall Inphi business, if that's what you're asking, since we bought it has clearly outperformed the deal model and has just become an incredibly strategic asset for us, both in terms of just the technology we picked up, but the team, the synergy with the other portfolio, the other product lines we have, and so just super positive about that, and it looks like that whole opportunity is going to be much larger than I think we were in [indiscernible] just a few years back. Willem, do you want to take the second part of it?

Yes. Thanks, Matt. Yes, so we're really working with customers to focus on Q1 being the bottom, really confident that, that's the bottom. And then we see growth resuming in the second half across enterprise networking, carrier and consumer. So really just trying to make sure that we put this behind us really quickly and see growth in the second half.

The next question will come from Vivek Arya with Bank of America.

Matt, one more on electro-optics. I think near term, it seems in Q1, there's probably a little bit of a breather after several strong quarters. But the more important question is that should we assume that your electro-optics that is related to AI should grow somewhat proportional to the growth in accelerators? So for example, if you look at accelerator growth this year, I've seen various numbers between 50% to 100%, kind of year-on-year growth. So should the AI part of your electro-optics grow kind of commensurate with that? Or is there something different? And then when does 1.62, 1.16, 1.6T, sorry, when does that start to play a role in your electro-optics business?

Well, I think it depends on how you -- the definition of breather you use. I mean, basically, it's ramped up just so significantly, right, the Electro-optics business Q2 to Q3, Q3 to Q4, and staying strong in Q1, maybe it's a breather from the sequential growth point of view, but we still have not seen that slow down. And then on the -- let's see, I got your second one. The third one was on 1.6T, I'll come back to your second one in a second. That is going to ramp later this year. That's gone really well. The quals and the product bring up. We announced at OFC last year and a lot of demand and interest. And then sorry, your second question on AI?

Yes. So should your electro-optics grow kind of proportional to the growth and accelerator. Yes.

Yes. Sorry, yes, the accelerator. For sure. The way we think about it is the -- that business year-over-year should grow in line with accelerator growth -- accelerator unit growth. We view it as very correlated. Obviously, there's some timing issues in terms of supply chain and things like that. But that's a simple way to think about it, and everyone's got a little bit of a different model at this point about what that number is, but our view is we're highly correlated to accelerator shipments, in our optics business.

The next question will come from Gary Mobley with Wells Fargo.

As a way to think about the win or hit rate for your custom ASIC business when engaging with prospective customers in the future, how should we think about the increasing competitive environment from the Arm ecosystem, Arm specifically with more versions than Neoverse, it's total design ecosystem, it's compute subsystems and as well all the ASIC design community. First of all, how do you feel about Arm essentially becoming more of a competitor? And then as well, how do you think about the way in which you'll compete against that and succeed?

Look, I think there's a in this market today, there's obviously a lot of excitement because of the opportunity in front of us. I mean the way that we're working is there's a number of companies that are our partners, solution providers, et cetera that may or may have their own offering or not, whether it gets taken up or not as we'll have to see. Where we come together really is we pull it all together. We're able to actually deliver with Marvell intellectual property, design methodology and techniques, our IP, and our know-how pulled together with our customers RTL and IP and partners, the total solution, which means we actually lay the chip out. We package it up. we manufacture it in high volume. We QA it, we test it, we yield it, we drive reliability, we drive cost improvement, and we drive it through the cycle. And that is a very different business model than providing a piece that goes in. And so Arm has been our partner for a long time. We use them in our products kind of all over the place. And as they evolve and others evolve, we'll figure that out too. But in the end, it comes down to, we believe, for these large volume mission-critical big compute silicon chips it's going to require somebody like a Marvell with the manufacturing scale, the design techniques and know-how to really execute it. And so we haven't seen any change there. And in fact, I think at the sort of 3-nanometer node we're at and beyond, it's going to be even more critical to have a partner who's got your back, who can help you get to production quickly and spin derivatives quickly, which is now increasingly looking like what’s going to be needed, more SKUs, higher -- faster beat rate in terms of when products are released and then obviously ramping them very hard and quickly given the competitive environment.

The next question will come from Harlan Sur with JPMorgan.

Matt, you mentioned the initial shipments of your AI ASIC program. Can you just clarify because I know last you updated us, these programs were in qualification. So have you guys passed qual on both these programs? And is it sort of the initial start of the full production ramp? Or maybe you're still in qual, but you've got enough line of sight to passing the qual just given you're at the tail end of this process? And maybe more importantly, have you guys secured the follow-on AI programs for these two initial projects?

So yes, we are in the initial start of the production ramp on both products. And then as far as the follow-on, like I said, the opportunity funnel we see across all of the various opportunities right now is significant, and we're involved in, we believe, we think, every single one of them. So yes, and there'll be more to come sort of at our AI Day, but I would just say our 3-nanometer funnel and our 3-nanometer hit rate and design win rate is very encouraging and it really gives us this tremendous confidence in where this business is headed. It also has a side benefit by driving this advanced technology for the custom ASIC side, is it's pulling along the technology development that benefits all the other businesses in Marvell, like our high-performance switching, our DSP for optics, et cetera. So there's actually kind of a virtuous cycle happening where being at that bleeding edge is now we're able to show our other solutions that interoperate with this custom silicon, really a best-in-class roadmap there. But more on the overall strategy and opportunity size at the AI though. [indiscernible].

Your next question will come from Tore Svanberg with Stifel.

Matt, I had a question on the 800-gig upgrade cycle. So you mentioned that ramping, but you also mentioned 1.6 Terabit ramping later this year. My understanding is that we're still in the early stages of the 800 gig. And I'm just wondering if you expect a more broad-based 800-gig upgrade cycle before 1.6T really starts to take off? Or will we potentially see kind of both ramping at the same time?

Yes, I think there's three different pieces we should talk about. So the first is 1.6T. I would just call that early shipments, first volumes type of thing in the second half, end of the year and then more next year. And that's really, I'd call the early adoption of that technology. But it's very promising because that's obviously what's going to follow. The 800 gig for AI has still got tons of legs, right? And it's going to be very, very strong this year, very, very strong next year. And then there'll be some transition over time. And then I think what you're also indicating is, at some point, you're going to see an 800-gig transition on traditional cloud infrastructure from either 200-gig or 400-gig to 800-gig and that is also true in something we're planning for. So I think they're going to end up happening kind of all them in parallel a little bit, right? You're going to have leading-edge people adopting 1.6T. You're going to have the bulk of the volume on AI, still driving 800-gig for the next few years and then you're going to have a transition on the traditional PAM side as well that's going to upgrade. So I think they’re all going to be in production in parallel for different reasons, which is great because it just ends up being multiple customers, multiple SKUs and kind of a rich portfolio of solutions that we’re offering so that people can optimize their systems for the best TCO and the best performance that they need.

We will take our last question today from Srini Pajjuri with Raymond James.

Just a follow-up to one of the previous questions, Matt, about the custom silicon opportunity going forward. Obviously, there are four big cloud customers, hyperscale customers. And based on what we know so far, most of them seem to be investing in custom silicon either 1 or 2 chips. So it does feel like the number of opportunities are relatively small. Of course, these are very large opportunities. Just curious, how do you see that evolving? Do you see this continuing with 1 or 2 programs for each customers, which are in a multibillion opportunities or are you seeing spreading out kind of more diverse opportunities as we -- I guess, as AI becomes bigger and broader? Just want to hear your thoughts on that.

The way I think about it is if you go back just a couple of years, when AI was emerging, there was kind of 1 chip, 1 program that would sort of happen. It would take several years, then you gear up for the next one. And there was definitely a serial type of approach, and that was probably fine. I think what we've seen, to your point is really multiple programs now across all the key customers and that's kind of where I'd leave it. I think getting more specific, I don't really want to do that with respect to my customers. But I would just say what we hear is very much a need for each of them meeting their own very differentiated unique solutions, meeting more SKUs and at a much more rapid rate by far than we've seen so far. And so I just think it's creating -- I think, I know it's creating just a very significant, now, opportunity in custom silicon that really wasn't there before in terms of the total dollars that are available, the number of chips and then the speed that they want to go. And that’s why earlier I had said, if you look at this kind of 3-nanometer cycle we’re in, it’s significantly larger than we saw back at 5-nanometer, even if you account for the fact that some of these the 5-nanometer TAMs have gone up a lot because the market went up, even if you sort of factor that in, what we’re looking at is a lot more. And I think that’s just going to continue for the next few years. But sure, by design, I think any of the high-volume data center applications are always going to in any product line, by the way, always concentrate down to a few key partners. That’s just the way the business works. But super exciting time. There’s a lot of activity here. Was that the last question operator?

Yes, sir. Go ahead sir, take the floor.

Excellent. All right. So first, everybody appreciate the participation on the call today. It's a very exciting time in the semiconductor industry relative to sort of the opportunity that's in front of us. We see a huge transformation underway right now with fundamentally a complete overhaul of data centers and data center architectures. And Marvell, we've been on this journey for the last four or five years to really transition and transform ourselves into a data center company. And as you've seen from our recent results now that is our largest end market, it's where we're putting the majority of our R&D effort, and we're positioning the company to win big here. We chose the strategy years ago to be really levered to the accelerated computing and infrastructure part of the market, which includes in the most prominent piece being AI. It's become much larger of an opportunity than we thought a few years ago, but it's a market we clearly chose to invest in. We're expecting a lot of growth in the coming year in our data center business. We're very excited about that. And some of these programs as I indicated, they're just getting started, and some of them are ramping in the second half. Some of them are starting to ramp now, but it really gives us a great setup for our fiscal '26. And kind of final couple of comments. I get a lot of thought about -- and we did a lot of work with our customers over the break this past December. And early January, I did a fireside chat with Harlan at JPM, and there was a lot of excitement after that call because we had gained confidence at that point about some of the production ramps. I would say just a couple of months later now sitting here on this call, our confidence in our growth this year and the robustness of these programs has only gotten stronger and only increased. So we’re very excited about where the company is positioned. I appreciate everybody’s support and interest in Marvell. And I look forward to seeing everybody at the AI Day. Team is working extremely hard, and they will not disappoint. So thanks, everybody. We’ll see you soon. Bye.

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