“The demand side of Nvidia research tries to drive demand for Nvidia products by developing software systems and techniques that need GPUs to run well. It makes GPUs themselves better, ranging from circuits, to VLSI design methodologies, architecture networks, programming systems, and storage systems that go into GPUs and GPUs systems.” The supply half delivers technology that supplies GPUs. “We’re sort of the high beams trying to illuminate things in the far distance. “We’re a group of about 300 people that tries to look ahead of where we are with products at Nvidia,” described Dally in his talk this year.

Bill Dally of Nvidia in his home ‘workshop’ Nvidia has, for example begun using AI to effectively improve and speed GPU design. This year, Dally focused mostly on AI tools that Nvidia is both developing and using in-house to improve its own products – a neat reverse sales pitch if you will. Getting a glimpse into Nvidia’s R&D has become a regular feature of the spring GTC conference with Bill Dally, chief scientist and senior vice president of research, providing an overview of Nvidia’s R&D organization and a few details on current priorities. Since 1987 - Covering the Fastest Computers in the World and the People Who Run Them

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