By Monica J. White
Publication Date: 2026-05-15 12:45:00
Nvidia is known for making some of the best graphics cards, and these days, a lot of them end up powering AI-related workloads instead of games. Graphics processing units (GPUs) are the very foundation of the data centers that make AI possible. The funny thing is that the circle of AI life goes on and on, as Nvidia now also uses AI to help create new chips, which later end up in GPUs. A recent interview revealed that this leads to benefits like faster chip design, fewer man-hours used on certain tasks, and even new, innovative, sometimes odd ways to approach existing problems.
In a discussion with Google’s Jeff Dean at the 2026 GPU Technology Conference (GTC), Bill Dally, Nvidia’s chief scientist and senior vice president of research, revealed that the chipmaker is trying to introduce AI at every step of GPU design. The headliner is, undoubtedly, the fact that Nvidia used AI to save so much time and money during one stage of the process.
Whenever a new semiconductor process…
