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Tom’s Hardware
Tom’s Hardware
Technology
Anton Shilov

Nvidia and partners to build seven AI supercomputers for the U.S. gov't with over 100,000 Blackwell GPUs —combined performance of 2,200 ExaFLOPS of compute

Nvidia.

Coming on the heels of the Vera Rubin-based supercomputers for Los Alamos National Laboratory, Nvidia announced on Tuesday at GTC 2025 that, together with partners, it would build seven ExaFLOPS-class AI supercomputers for Argonne National Laboratory. Two out of five systems will be built by Oracle and will use over 100,000 Blackwell GPUs, delivering a combined performance of up to 2,200 ExaFLOPS.

The first of five AI supercomputers for Argonne National Laboratory is Equinox, which will pack 10,000 Blackwell GPUs and serve as the first phase of the project, coming online in 2026. The second phase of the project — called Solstice — will be a 200 MW system packing over 100,000 Blackwell GPUs. The two systems will be connected to deliver an aggregate performance of 2,200 FP4 ExaFLOPS for AI computations.

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