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Dell Technologies and NVIDIA are collaborating to construct the "Doudna" supercomputer for the U.S. Department of Energy (DOE). Named after Nobel laureate Jennifer Doudna, the system will be housed at the Lawrence Berkeley National Laboratory's National Energy Research Scientific Computing Center (NERSC) and is slated for deployment in 2026. This supercomputer aims to revolutionize scientific research by merging artificial intelligence (AI) with simulation capabilities, empowering over 11,000 researchers across various disciplines, including fusion energy, astronomy, and life sciences. The project represents a significant federal investment in high-performance computing (HPC) infrastructure, designed to maintain U.S. leadership in AI and scientific discovery.
The Doudna supercomputer, also known as NERSC-10, promises a tenfold increase in scientific output compared to its predecessor, Perlmutter, while only consuming two to three times the power. This translates to a three-to-five-fold improvement in performance per watt, achieved through advanced chip design and system-level efficiencies. The system integrates high-performance CPUs with coherent GPUs, enabling direct data access and sharing across processors, addressing traditional bottlenecks in scientific computing workflows. Doudna will also be connected to DOE experimental and observational facilities through the Energy Sciences Network (ESnet), facilitating seamless data streaming and near real-time analysis.
According to NVIDIA CEO Jensen Huang, Doudna is designed to accelerate scientific workflows and act as a "time machine for science," compressing years of discovery into days. Energy Secretary Chris Wright sees it as essential infrastructure for maintaining American technological leadership in AI and quantum computing. The supercomputer emphasizes coherent memory access between CPUs and GPUs, enabling data sharing in heterogeneous processors, which is a requirement for modern AI-accelerated scientific workflows. The Nvidia Vera Rubin supercomputer architecture introduces hardware-level optimizations designed specifically for the convergence of simulation, machine learning, and quantum algorithm development.
ImgSrc: techhq.com
References :
The Doudna supercomputer, also known as NERSC-10, promises a tenfold increase in scientific output compared to its predecessor, Perlmutter, while only consuming two to three times the power. This translates to a three-to-five-fold improvement in performance per watt, achieved through advanced chip design and system-level efficiencies. The system integrates high-performance CPUs with coherent GPUs, enabling direct data access and sharing across processors, addressing traditional bottlenecks in scientific computing workflows. Doudna will also be connected to DOE experimental and observational facilities through the Energy Sciences Network (ESnet), facilitating seamless data streaming and near real-time analysis.
According to NVIDIA CEO Jensen Huang, Doudna is designed to accelerate scientific workflows and act as a "time machine for science," compressing years of discovery into days. Energy Secretary Chris Wright sees it as essential infrastructure for maintaining American technological leadership in AI and quantum computing. The supercomputer emphasizes coherent memory access between CPUs and GPUs, enabling data sharing in heterogeneous processors, which is a requirement for modern AI-accelerated scientific workflows. The Nvidia Vera Rubin supercomputer architecture introduces hardware-level optimizations designed specifically for the convergence of simulation, machine learning, and quantum algorithm development.
ImgSrc: techhq.com
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References :
- TechHQ: 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.
- futurumgroup.com: Can Dell and NVIDIA’s AI Factory 2.0 Solve Enterprise-Scale AI Infrastructure Gaps?
Classification:
- HashTags: #AI #NVIDIA #Dell
- Company: Dell
- Target: Researchers
- Product: AI Factory
- Feature: AI Infrastructure
- Malware: Vera Rubin
- Type: AI
- Severity: Informative