Nvidia will help build 7 AI supercomputers for for DoE

"Speaking at his company's annual GPU Technology Conference, Nvidia CEO Jensen Huang announced a partnership with Oracle and Illinois-based Argonne to build the DoE's largest-ever AI supercomputer in the form of Solstice, a 100,000 Blackwell GPU system. When interconnected with another new system Nvidia and Oracle are building at Argonne, the 10,000 Blackwell GPU-strong Equinox, the interconnected supercomputers will have a combined 2,200 exaFLOPs of AI compute performance."

"Solstice and Equinox won't just be serving up more compute power for scientific experiments at Argonne, though; they're also going to be part of the lab's drive "to develop agentic scientists," Nvidia noted. While not providing much in the way of details as to what that means for scientific research at the lab, Nvidia noted that the goal of introducing agentic AI to DoE scientific research was focused on "boosting R&D productivity and accelerating discovery enabled by public research dollars within a decade.""

"Equinox is expected to come online next year, but neither Nvidia nor the DoE gave a timeline for the giant Solstice system's arrival on the AI supercomputing scene. Argonne is also planning to launch three other new Nvidia-based systems at the lab called Tara, Minerva, and Janus."

The Department of Energy is partnering with Nvidia and Oracle to build seven AI supercomputers to accelerate scientific research and pursue agentic AI for discovery. Two Argonne systems, Solstice (100,000 Blackwell GPUs) and Equinox (10,000 Blackwell GPUs), will interconnect to deliver about 2,200 exaFLOPs of AI compute. The systems aim to support efforts to develop agentic scientists intended to boost R&D productivity and accelerate discovery within a decade. Equinox is expected online next year, while no timeline was given for Solstice. Argonne plans three additional Nvidia-based systems named Tara, Minerva, and Janus.

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