– New system will enable next-gen research on clean energy, climate and more for the National Energy Research Scientific Computing Center -SANTA CLARA, Calif. 05/27/2021
AMD (NASDAQ: AMD) today joined the National Energy Research Scientific Computing Center (NERSC), Lawrence Berkeley National Laboratory (Berkeley Lab) and others in unveiling the new Perlmutter supercomputer powered by AMD EPYC™ 7003 Series processors.
The new supercomputer at Berkeley Lab will provide four times the computational power currently available at NERSC, making it among the fastest supercomputers in the world for scientific simulation, data analysis and artificial intelligence (AI). In development since 2019, the new system takes advantage of the industry-leading HPC workload performance1 offered by the new 3rd Gen AMD EPYC processors to facilitate faster and advanced research in climate, clean energy, semiconductors, microelectronics and quantum information science.
“AMD is extremely proud to work with our strategic partners to push the boundaries of HPC in areas including scientific and environmental research, medical advancements and artificial intelligence,” said Forrest Norrod, senior vice president and general manager, Data Center and Embedded Solutions Business Group. “The new Perlmutter supercomputer from NERSC, will drive the next wave of critical discoveries that help to solve the world’s biggest challenges.”
“Our work with key partners like AMD enables us to significantly increase our computing power and broaden our spectrum of scientific capabilities,” said NERSC Director Sudip Dosanjh. “Perlmutter will enable a larger range of applications than previous NERSC systems and is the first NERSC supercomputer designed from the start to meet the needs of both simulation and data analysis.”
Perlmutter, named in honor of Nobel Prize-winning astrophysicist Saul Perlmutter, is being delivered in two phases. Phase 1 is now being deployed and features 1,536 nodes, each with one AMD EPYC 7763 processor and four NVIDIA NVlink-connected A100 Tensor Core GPUs. Phase 1 also includes a 35 PB all-flash Lustre file system that will provide very high-bandwidth storage. Expected later this year, phase 2 will add another 3,072 CPU-only nodes, each with two AMD EPYC 7763 processors and 512 GB of memory per node.
