Timothy Arcuri: Thanks a lot And then just as a quick follow-up. I know this year it looks like it’s going to be pretty back-half loaded in your server CPU business just like it was last year. And I know you kind of held our hands at about this time last year sort of on what the full-year could look like and how back-end loaded it could be. So I kind of wonder, could you give us some milestones in terms of how much server CPU you could grow this year, how back-end loaded it could be it is like up 30% this year for your server CPU business year-over-year. Is that a reasonable bogey? I just wonder if you can kind of give us any guidance on that piece of the business? Thanks.
Lisa Su: Yes. I mean, I think, Tim, I think the best way to say it is our data center segment is on a very, very strong ramp as we go through the back half of the year. Server CPUs, certainly data center GPUs for sure. So I don’t know that we’re going to get into specifics, but I could say in general, you should expect overall at the segment level to be very strong double digits.
Timothy Arcuri: Thank you, Lisa.
Lisa Su: Thank you.
Operator: Thank you. Our next question is from Joe Moore with Morgan Stanley. Please proceed with your question.
Joe Moore: Great, thank you. I wonder if you could address the profitability of MI300. I know you said a couple of quarters ago that it would eventually be above corporate average, but it would take you a few quarters to get there. Can you talk about where you are in that?
Jean Hu: Yes. Thank you, Joe. Our team has done an incredible job to ramp MI300. As you probably know, it’s a very complex product, and we are still at the first year of the ramp both from yield, the testing time and the process improvement, those things are still ongoing. We do think over time, the gross margin should be accretive to corporate average.
Joe Moore: Great. Thank you. And then a separate follow-up. On the tour and transition on server, I know when you had transitioned in generally, you said it could take a little while that there were significant platform shifts and things like that. Turin seems to be much more kind of ecosystem compatible. How quickly do you think you might see that product ramp within our server portfolio?
Lisa Su: Yes. Joe, I think from what we see, look, think Turin is the same platform so that does make it an easier ramp. I do think that general and Turin will coexist for some amount of time because customers are deciding when they’re going to bring out their new platforms. We expect Turin to give us access to a broader set of workloads. So our SAM actually expands with Turin, both in enterprise and cloud. And from our experience, I think you’ll see a faster transition than, for example, when we went from Milan to Genoa.
Joe Moore: Great, thank you.
Operator: Thank you. Our next question is from Stacy Rasgon with Bernstein Research. Please proceed with your question.
Stacy Rasgon: Hi, guys. Thanks for taking my questions. For my first one, I wanted to address the MI300 ramped into Q2. So you said you’ve done $1 billion, give or take in cumulative sales, which puts it at maybe, I don’t know, maybe $600 million in Q1. You’re guiding total revenues up about $225 million into Q2, but you’ve got client up, you’ve got traditional data center up. You’ve got embedded flat. Gaming is going to be down, but I’d hazard a guess that the client and traditional data center offset it, if not more. Does the MI300 ramp into Q2? Is it more or less than the total corporate ramp that you’ve got built into guidance right now that you’re expecting?
Jean Hu: Hi, Stacy, thanks for the question. You always ask math question. So I think in general, it is one the data center GPU ramp it will be more than the overall company’s $200-some million ramp.
Stacy Rasgon: Okay. So that means gaming must be down like a lot, right, if clients as the data.
Jean Hu: Yes, you’re right. Gaming is down similar zip code like Q1.
Stacy Rasgon: Got it. Got it. That’s helpful.
Jean Hu: So maybe — yes, maybe let me give you some color about the gaming business, right? If you look at the gaming, the demand has been quite weak, that’s quite very well-known and also their inventory level. So based on the visibility we have, the first-half both Q1, Q2, we guided down sequentially more than 30%. We actually think the second-half will be lower than first-half that’s basically how we’re looking at this year for the gaming business. And at the same time, Gaming’s gross margin is lower than our company average. So overall, will help the mix on the gross margin side, that’s just some color on the gaming side. But you’re right, Q2 game is down a lot.
Stacy Rasgon: Got it. That’s helpful. For my second question, I wanted to look at the near-term data center profitability. So operating profit was down 19% sequentially on 2% revenue growth. Is that just the margins of the GPUs filtering in relative to the CPUs? And I know you said GPUs would eventually be above corporate average. Are they below the CPU average — I mean they clearly are, I guess, in the near term, but are they going to stay that light?
Jean Hu: Yes. I think you’re right. It’s the GPU gross margin right now is below the data center gross margin level. I think there are two reasons — actually, the major reason is we actually increased the investment quite significantly to, as Lisa mentioned, to expand and accelerating our road map in the AI side, that’s one of the major drivers for the operating income coming down slightly. On the gross margin side, going back to your question, we said in the past and we continue to believe the case is. Data center GPU gross margin over time will be accretive to corporate average, but it will take a while to get to the server level for gross margin.
Stacy Rasgon: Got it. That’s helpful.
Operator: Thank you. Our next question is from Harlan Sur with JPMorgan. Please proceed with your question.
Harlan Sur: Good afternoon. Thanks for taking my question. On your data center GPU segment and the faster time to production shipments, given you just up your full year GPU. How much of it is faster bring up of your customers’ frameworks driven by your latest software platform and maybe stronger collaboration with your customers’, engineers just to get them to call faster? And how much of it is just a more aggressive build-out plan by customers versus their prior expectations given what appears to be a pretty strong urgency for them to move forward with their important AI initiatives?
