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2026-05-14
Environment & Energy

US Energy Chief and NVIDIA Exec Tout AI-Powered Energy Revolution at Genesis Mission Launch

US Energy Secretary Wright and NVIDIA's Buck argue AI must power its own energy future via Genesis Mission, with two massive supercomputers planned.

AI to Fuel Its Own Energy Future, Officials Declare

WASHINGTON — American leadership in artificial intelligence hinges on American dominance in energy production, U.S. Energy Secretary Chris Wright and NVIDIA Vice President Ian Buck declared Thursday at the SCSP AI+ Expo. The urgent message came during a fireside chat titled “Powering the Next American Century,” moderated by SCSP President Ylli Bajraktari.

US Energy Chief and NVIDIA Exec Tout AI-Powered Energy Revolution at Genesis Mission Launch
Source: blogs.nvidia.com

“Energy is life,” Wright said. “The more energy you have, the more affordable energy you have, the more opportunities you have in your society.”

The Genesis Mission: Where Policy Meets Execution

The U.S. Department of Energy’s Genesis Mission sits at the center of this strategy. It aims to apply AI to scientific discovery at an unprecedented scale. NVIDIA is a key partner, building on two decades of collaboration with national labs.

“NVIDIA is 100% committed and invested in Genesis,” Buck said. “I’ve never seen more excitement across the lab and industry.”

Buck emphasized that NVIDIA brings the full stack—not just chips, but algorithms, methods, and a deep partnership history. The DOE contributes 17 national labs, world-class scientists, national problems, and vast datasets.

Massive AI Supercomputers Underway

Two groundbreaking AI supercomputers are being built at Argonne National Laboratory. The first, Equinox, is already coming online with 10,000 NVIDIA Grace Blackwell GPUs—the same hardware powering today’s leading AI models.

The second, Solstice, will deploy 100,000 next-generation NVIDIA Vera Rubin GPUs. “To put that 100,000 in perspective,” Buck said, “it’s 5,000 exaflops—five times larger than the entire TOP500 supercomputer list combined.”

Buck stressed that all the technology, hardware, and software building blocks used by major AI labs worldwide will be made available for global scientific research.

Background: Genesis Mission and the Energy-AI Nexus

The Genesis Mission, launched by the DOE, represents a national push to harness AI for breakthroughs in energy, climate, health, and materials science. NVIDIA’s involvement extends back to early GPU-accelerated computing at national labs, including the development of the Summit and Frontier supercomputers.

US Energy Chief and NVIDIA Exec Tout AI-Powered Energy Revolution at Genesis Mission Launch
Source: blogs.nvidia.com

Energy demand from AI data centers is skyrocketing. The International Energy Agency projects that AI power consumption could rival that of entire countries within a few years. The Genesis Mission aims to create a virtuous cycle: using AI to discover new energy technologies while simultaneously making AI itself more energy-efficient.

What This Means

This partnership signals a fundamental shift: AI will no longer be just a consumer of energy—it will become a producer of energy solutions. By applying AI to fusion, advanced nuclear, solar materials, grid optimization, and carbon capture, the U.S. can maintain its technological edge while addressing climate goals.

“We’re creating all the same technology used by major AI labs worldwide,” Buck noted, “for all of world science to gain access to.” Open-source AI models trained on millions of physics papers are already being developed, fine-tuned for specialized scientific tasks.

The urgency is clear. If the U.S. fails to lead in energy, it risks losing its AI advantage to nations with more abundant or cheaper power. The Genesis Mission, backed by the DOE-NVIDIA partnership, is a bet that American innovation can solve both problems together.

Other NVIDIA executives are also participating in SCSP panels this week, including cofounder Chris Malachowsky on workforce development, Rev Lebaredian on physical AI, Dion Harris on AI-accelerated science, and John Josephakis on quantum leadership.