AMD is using AI to help design its next-generation GPUs

AMD CEO Dr. Lisa Su attended the recent 'Winning the AI Race' summit, where she talked about how artificial intelligence and AI will be leveraged to design the company's next-generation graphics cards. With AMD moving to a unified architecture for both data center and consumer products, this presumably includes Radeon GPU hardware for the PC and console market.

However, it's worth noting that Lisa Su's remarks refer to GPU hardware and architecture designed with the help of AI, not GPUs designed solely by AI. This means that human engineers at AMD are still in charge. "We think about how AI will design future chips, and it will design pieces of it," Lisa Su said. "But there's still a creativity of bringing it all together that I think humans are still absolutely at the centre of."

"I don't necessarily see the AI designing our next-generation GPU," Lisa Su adds. "But I do see it helping us design the next-generation GPU much faster and more reliably." This isn't a new development, as NVIDIA has already stated that it uses AI to help speed up chip design, which appears to be what AMD is aiming for.

The widespread use of AI in the science and medicine fields has been widely reported, with new, advanced models being used to drive groundbreaking research and discovery. "You can actually take AI and make science better, you can take AI and make medicine better, you can take AI and make manufacturing better," Lisa Su continued. "You can take AI and make every aspect of your business better, and so in my mind, 10 years from now, we'd like to believe that we're leveraging it to solve some of the world's most important problems."

As for what areas of GPU development AI will be used to speed up or improve, time will tell. With details of AMD's next-gen gaming and workstation RDNA 5 graphics cards emerging, featuring impressive specs, it'll be interesting to learn if this is the next-gen GPU architecture Dr. Lisa Su is referring to.