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U.S. DOE Unveils Doudna Supercomputer Powered by Dell and NVIDIA for AI and Scientific Breakthroughs

The U.S. Department of Energy has announced NERSC-10, named Doudna, a new supercomputer built with Dell and powered by NVIDIA's Vera Rubin platform, to drive advances in AI, science, and HPC.1 min

by Paras Guglani 7 months ago7 months ago

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The U.S. Department of Energy has officially announced NERSC-10, its next flagship supercomputer, during a recent visit to Lawrence Berkeley National Laboratory. U.S. Secretary of Energy Chris Wright confirmed that the new system, set to launch in 2026, will be named Doudna, honoring Jennifer Doudna, the Berkeley Lab-based biochemist and CRISPR pioneer.

This upcoming high-performance computing (HPC) powerhouse will be developed in collaboration with Dell Technologies and powered by NVIDIA’s next-generation Vera Rubin platform. It is designed to support cutting-edge research in molecular dynamics, high-energy physics, and AI workloads, marking a significant milestone in U.S. efforts to lead in artificial intelligence and scientific discovery.

Doudna is expected to be one of the most advanced supercomputers ever deployed by the DOE, reflecting the department’s view of AI as the “next Manhattan Project.” The system will be fully integrated with the Energy Sciences Network (ESnet), enabling researchers to stream vast datasets in real time from across the country, directly into the supercomputer for immediate analysis.

“This system represents DOE’s commitment to advancing American leadership in science, AI, and high-performance computing,” stated Secretary Wright. “With Doudna, scientists will be able to explore fundamental truths of the universe with unprecedented scale and speed.”

The naming of the supercomputer after Doudna emphasizes the government’s recognition of breakthrough science and its dedication to empowering the next wave of innovations. With the power of Dell and NVIDIA behind it, the Doudna supercomputer is poised to transform national research capabilities, pushing boundaries in both artificial intelligence and fundamental scientific exploration.

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