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.
Operator: We will take our last question today from Srini Pajjuri with Raymond James.
Srini Pajjuri: 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.
Matt Murphy: 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?
Operator: Yes, sir. Go ahead sir, take the floor.
Matt Murphy: 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.
