NVIDIA and U.S. Department of Energy Partner to Build Nation’s Next-Gen AI Infrastructure

NVIDIA will power seven new AI supercomputing systems across the DOE’s Argonne National Laboratory and Los Alamos National Laboratory (LANL).

NVIDIA and U.S. Department of Energy Partner to Build Nation’s Next-Gen AI Infrastructure
(Image-Freepik)

NVIDIA announced at GTC Washington that it is partnering with the U.S. Department of Energy (DOE), national laboratories, and leading American companies to develop a nationwide AI infrastructure aimed at driving scientific discovery, economic growth, and the next industrial revolution.

“We are at the dawn of the AI industrial revolution that will define the future of every industry and nation,” said Jensen Huang, founder and CEO of NVIDIA. “It is imperative that America lead the race to the future — this is our generation’s Apollo moment.”

NVIDIA will power seven new AI supercomputing systems across the DOE’s Argonne National Laboratory and Los Alamos National Laboratory (LANL).

At Argonne, NVIDIA is collaborating with Oracle and the DOE to build Solstice, the nation’s largest AI supercomputer, featuring 100,000 NVIDIA Blackwell GPUs. Another system, Equinox, with 10,000 GPUs, will follow in 2026 — together delivering 2,200 exaflops of AI performance.

Argonne will also introduce three additional NVIDIA-based systems — Tara, Minerva, and Janus — to expand access to AI-driven computing. “Through this partnership, we’re building platforms that redefine performance, scalability, and scientific potential,” said Paul K. Kearns, Argonne’s director.

At LANL, NVIDIA’s Vera Rubin platform and Quantum-X800 InfiniBand networking will power new Mission and Vision systems. “Harnessing this level of computational performance is essential to tackling some of the most complex scientific and national security challenges,” said Thom Mason, LANL director.

NVIDIA also unveiled plans for an AI Factory Research Center in Virginia, powered by Vera Rubin, to advance generative AI, scientific computing, and digital twin technologies.

The project forms part of the company’s Omniverse DSX blueprint, a scalable framework for gigawatt-scale AI factories focused on performance, energy efficiency, and sustainability.