Uploaded April 2026 | Updated September 2026, 3 weeks ago
In this 60-minute wide-ranging discussion, NVIDIA Chief Scientist and GPU architect Bill Dally engages in a focused dialogue with Google's Chief Scientist Jeff Dean, co-instigator of TPUs, overall Gemini co-tech lead, and pioneer in large-scale ML systems.
The conversation explores the critical intersections of hardware innovation, systems scaling, and algorithmic advancement needed to propel AI into the 2026–2030 era of agentic systems, ultra-low-latency reasoning, and energy-efficient scaling.
Bill Dally, Chief Scientist and SVP of Research, NVIDIA
Jeff Dean, Chief Scientist, Google DeepMind and Google Research
#NVIDIAGTC
In this 60-minute wide-ranging discussion, NVIDIA Chief Scientist and GPU architect Bill Dally engages in a focused dialogue with Google's Chief Scientist Jeff Dean, co-instigator of TPUs, overall Gemini co-tech lead, and pioneer in large-scale ML systems.
The conversation explores the critical intersections of hardware innovation, systems scaling, and algorithmic advancement needed to propel AI into the 2026–2030 era of agentic systems, ultra-low-latency reasoning, and energy-efficient scaling.
Bill Dally, Chief Scientist and SVP of Research, NVIDIA
Jeff Dean, Chief Scientist, Google DeepMind and Google Research
#NVIDIAGTC
