NVIDIA Turbocharges Extreme-Scale AI For Argonne National Laboratory’s Polaris Supercomputer
Largest GPU-Powered Supercomputer for U.S. Department of Energy’s Argonne Lab Will Enable Scientific Breakthroughs in Era of Exascale AI
The largest GPU-based supercomputer at the U.S. Department of Energy’s Argonne National Laboratory will run on NVIDIA’s accelerated computing platform, the company announced.
The Polaris supercomputer, hosted at the laboratory’s Argonne Leadership Computing Facility (ALCF), will supercharge research and discovery with extreme scale for users’ algorithms and science. Accelerated by 2,240 NVIDIA® A100 Tensor Core GPUs, the system can achieve almost 1.4 exaflops of theoretical AI performance and approximately 44 petaflops of peak double-precision performance.
Polaris, to be built by Hewlett Packard Enterprise, will combine simulation and machine learning by tackling data-intensive and AI high performance computing workloads, powered by 560 total nodes, each with four NVIDIA A100 GPUs.
“The era of exascale AI will enable scientific breakthroughs with massive scale to bring incredible benefits for society,” said Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA. “NVIDIA’s GPU-accelerated computing platform provides pioneers like the ALCF breakthrough performance for next-generation supercomputers such as Polaris that let researchers push the boundaries of scientific exploration.”
“Polaris is a powerful platform that will allow our users to enter the era of exascale AI,” said ALCF Director Michael E. Papka. “Harnessing the huge number of NVIDIA A100 GPUs will have an immediate impact on our data-intensive and AI HPC workloads, allowing Polaris to tackle some of the world’s most complex scientific problems.”
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The system will accelerate transformative scientific exploration, such as advancing cancer treatments, exploring clean energy and propelling particle collision research to discover new approaches to physics. And it will transport the ALCF into the era of exascale AI by enabling researchers to update their scientific workloads for Aurora, Argonne’s forthcoming exascale system.
Polaris will also be available to researchers from academia, government agencies and industry through the ALCF’s peer-reviewed allocation and application programs. These programs provide the scientific community with access to the nation’s fastest supercomputers to address “grand challenges” in science and engineering.