“I see as we bring in additional products later this year into 2025, that, that will continue to be a strong spot for us.”

In context

“in Data Center? Lisa Su: Yes, sure. So look, Toshiya, when we start with the road map, I mean, we always think about it as a multiyear, multigenerational road map. So we have the follow-ons to MI300 as well as the next, next generations well in development. I think what is true is we're getting much closer to our top AI customers. They're actually giving us significant feedback on the road map and what we need to meet their needs. Our chiplet architecture is actually very flexible. And so that allows us to actually make changes to the road map as necessary. So we're very confident in our ability to continue to be very competitive. Frankly, I think we're going to get more competitive. Right now, I think MI300x is in a sweet spot for inference, very, very strong inference performance. I see as we bring in additional products later this year into 2025, that, that will continue to be a strong spot for us. And then we're also enhancing our training performance and our software road map to go along with it. So more details to come in the coming months, but we have a strong road map that goes through the next couple of years, and it is informed by just a lot of learning in working with our top customers. Operator: Our next question is from Ross Seymore with Deutsche Bank. Ross Seymore: The non-AI side of the Data Center business, it sounds like the enterprise side has some good traction even though the sequential drop happened seasonally, Lisa. But I was just wondering what's implied in your second quarter guidance for the Data Center CPU side of things? And generally speaking, how are you seeing that whole kind of GPU versus CPU crowding out dynamic playing out for the rest of 2024? Lisa”