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Dell Technologies has secured a contract with the U.S. Department of Energy to construct the next-generation NERSC-10 supercomputer, a project powered by NVIDIA's Vera Rubin architecture. This new system, dubbed "Doudna" after Nobel laureate Jennifer Doudna, a pioneer in CRISPR gene-editing technology, is poised to be a major federal investment in scientific computing infrastructure. Energy Secretary Chris Wright announced the contract during a visit to Lawrence Berkeley National Laboratory, emphasizing that the deployment in 2026 is crucial for maintaining American technological leadership amidst increasing global competition in AI and quantum computing.
The "Doudna" supercomputer, also known as NERSC-10, aims to significantly accelerate scientific research across multiple domains, including fusion energy, astronomy, and life sciences. Designed to serve 11,000 researchers, it represents an integration of artificial intelligence, quantum workflows, and real-time data streaming from experimental facilities. Unlike traditional supercomputers, Doudna’s architecture emphasizes coherent memory access between CPUs and GPUs, facilitating efficient data sharing between heterogeneous processors which is essential for modern AI-accelerated scientific workflows.
The Doudna system is expected to deliver a 10x increase in scientific output compared to its predecessor, Perlmutter, while only consuming 2-3x the power, translating to a 3-5x improvement in performance per watt. Nick Wright, advanced technologies group lead and Doudna chief architect at NERSC, stated, "We’re not just building a faster computer, we’re building a system that helps researchers think bigger and discover sooner." NVIDIA's Vera Rubin platform introduces hardware-level optimizations specifically designed for the convergence of simulation, machine learning, and quantum algorithm development, marking a significant advancement in cutting-edge research capabilities.
ImgSrc: techhq.com
References :
The "Doudna" supercomputer, also known as NERSC-10, aims to significantly accelerate scientific research across multiple domains, including fusion energy, astronomy, and life sciences. Designed to serve 11,000 researchers, it represents an integration of artificial intelligence, quantum workflows, and real-time data streaming from experimental facilities. Unlike traditional supercomputers, Doudna’s architecture emphasizes coherent memory access between CPUs and GPUs, facilitating efficient data sharing between heterogeneous processors which is essential for modern AI-accelerated scientific workflows.
The Doudna system is expected to deliver a 10x increase in scientific output compared to its predecessor, Perlmutter, while only consuming 2-3x the power, translating to a 3-5x improvement in performance per watt. Nick Wright, advanced technologies group lead and Doudna chief architect at NERSC, stated, "We’re not just building a faster computer, we’re building a system that helps researchers think bigger and discover sooner." NVIDIA's Vera Rubin platform introduces hardware-level optimizations specifically designed for the convergence of simulation, machine learning, and quantum algorithm development, marking a significant advancement in cutting-edge research capabilities.
ImgSrc: techhq.com
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References :
- blogs.nvidia.com: Ready for a front-row seat to the next scientific revolution? That’s the idea behind Doudna — a groundbreaking supercomputer announced today at Lawrence Berkeley National Laboratory in Berkeley, California.
- insidehpc.com: The new system, due in 2026, is named after Jennifer Doudna, the Berkeley Lab-based biochemist who won the 2020 Nobel Prize for Chemistry for her work on gene-editing technology.
- TechHQ: Nvidia Vera Rubin supercomputer to serve researchers in fusion energy, astronomy, and life sciences.
- techxplore.com: A new supercomputer named after a winner of the Nobel Prize in chemistry will help power artificial intelligence technology and scientific discoveries from a perch in the hills above the University of California, Berkeley, federal officials said Thursday.
- insidehpc.com: DOE Announces “Doudna†Dell-NVIDIA Supercomputer at NERSC
- techhq.com: Nvidia Vera Rubin supercomputer to serve researchers in fusion energy, astronomy, and life sciences. Dell’s system targets 10x performance, 3-5x better power efficiency, to be deployed in 2026.
Classification:
- HashTags: #Supercomputer #AIResearch #NERSC10
- Company: Dell
- Target: Scientific Researchers
- Product: Vera Rubin
- Feature: AI-Powered Supercomputing
- Type: AI
- Severity: Informative