AMD’s Next-Gen Zen 4 Based EPYC Genoa & Radeon Instinct To Be Featured In El Capitan Supercomputer, Up To 2 Exaflops of Compute Horsepower

AMD’s Next-Gen Zen 4 Based EPYC Genoa & Radeon Instinct To Be Featured In El Capitan Supercomputer, Up To 2 Exaflops of Compute Horsepower

4 years ago
Anonymous $9CO2RSACsf

https://wccftech.com/amd-next-gen-epyc-genoa-radeon-instinct-gpu-accelerator-power-el-capitan-supercomputer/

AMD has just announced a major win in the HPC sector with its next-generation EPYC and Radeon accelerators powering the 2 Exaflop El Capitan supercomputer of the U.S. Department of Energy or DOE which should be operational by 2023.

All three giants including Intel, AMD & NVIDIA were competing to win the contract for DOE's latest supercomputer but it looks like AMD won on both the CPU & GPU front. The El Capitan would be built by HPE's Cray supercomputing division which would utilize the next-generation accelerators from AMD to bring this exaflop monster to life by 2023. The supercomputer would be deployed at the Lawrence Livermore National Laboratory and would be able to perform up to 2 quintillion calculations per second.

AMD’s Next-Gen Zen 4 Based EPYC Genoa & Radeon Instinct To Be Featured In El Capitan Supercomputer, Up To 2 Exaflops of Compute Horsepower

Mar 4, 2020, 7:34pm UTC
https://wccftech.com/amd-next-gen-epyc-genoa-radeon-instinct-gpu-accelerator-power-el-capitan-supercomputer/ > AMD has just announced a major win in the HPC sector with its next-generation EPYC and Radeon accelerators powering the 2 Exaflop El Capitan supercomputer of the U.S. Department of Energy or DOE which should be operational by 2023. > All three giants including Intel, AMD & NVIDIA were competing to win the contract for DOE's latest supercomputer but it looks like AMD won on both the CPU & GPU front. The El Capitan would be built by HPE's Cray supercomputing division which would utilize the next-generation accelerators from AMD to bring this exaflop monster to life by 2023. The supercomputer would be deployed at the Lawrence Livermore National Laboratory and would be able to perform up to 2 quintillion calculations per second.