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What that looks like in practice: Buck described an open source NVIDIA AI model taught on 1.5M physics papers
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Over the last 20 years, Wright said, the U.S. has tripled oil production and doubled natural gas production, but barely grown electricity production.
Key facts
- To put that 100,000 in perspective on the next-generation GPU, which is dedicated to science, it’s 5,000 exaflops,” Buck said
- What that looks like in practice: Buck described an open source NVIDIA AI model trained on 1.5 million physics papers, then fine-tuned on 100,000 papers specifically about fusion
- That’s the case U.S. Energy Secretary Chris Wright and NVIDIA Vice President of Hyperscale and High-Performance Computing Ian Buck made Thursday morning at the SCSP AI+ Expo
- NVIDIA founder and CEO Jensen Huang has described AI as a five-layer cake: energy, chips, infrastructure, models and applications
Summary
That’s the case U.S. Energy Secretary Chris Wright and NVIDIA Vice President of Hyperscale and High-Performance Computing Ian Buck made Thursday morning at the SCSP AI+ Expo. Their argument: American leadership in AI runs through American leadership in energy. The Genesis Mission, the U.S. Department of Energy (DOE)’s effort to apply AI to scientific discovery, is where that case meets execution. “NVIDIA is 100% committed and invested in Genesis,” Buck said. The session was one of several SCSP panels this week with NVIDIA leaders on stage: Cofounder and NVIDIA Fellow Chris Malachowsky will lead a panel on the AI+ Careers Workforce Task Force; Rev Lebaredian will speak on physical AI and simulation; Dion Harris will discuss AI-accelerated American science and AI infrastructure for Africa; and John Josephakis will join a session on U.S. quantum leadership.