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Genoa Epyc 9004 series (server) Genoa-X Epyc 9004X series (server) Bergamo Epyc 9704 series (server, Zen 4c cores) Siena Epyc 8004 series (server, Zen 4c cores) Zen 5 series CPUs and APUs (released 2024) Granite Ridge Ryzen 9000 series (desktop) Strix Point Ryzen AI 300 series (laptop) Turin Epyc 9005 series (server) Turin Dense Epyc (server ...
In June 2022, supercomputers based on AMD's Epyc CPUs and Instinct GPUs took the lead on the Green500 list of the most power-efficient supercomputers with over 50% lead over any other, and held the top first 4 spots. [3] One of them, the AMD-based Frontier is since June 2022 and as of 2023 the fastest supercomputer in the world on the TOP500 ...
Zen 4c launched in Epyc 8004 series processors, codenamed "Siena", on September 18, 2023. With up to 64 cores and 128 threads, Siena is designed with a lower cost platform in mind for entry-level server, edge computing, and telecommunications segments where higher energy efficiency is a priority.
In 2008, AMD released the low-level programming specifications for its GPUs, and works with the X.Org Foundation to develop drivers for AMD graphics cards. [ 274 ] [ 275 ] Extensions for software parallelism (xSP), aimed at speeding up programs to enable multi-threaded and multi-core processing, announced in Technology Analyst Day 2007.
This is an accepted version of this page This is the latest accepted revision, reviewed on 11 February 2025. Type of extremely powerful computer For other uses, see Supercomputer (disambiguation). The Blue Gene/P supercomputer "Intrepid" at Argonne National Laboratory (pictured 2007) runs 164,000 processor cores using normal data center air conditioning, grouped in 40 racks/cabinets connected ...
The system is being supplied by Hewlett Packard Enterprise (HPE), providing an HPE Cray EX supercomputer with next generation 64-core AMD EPYC CPUs and AMD Radeon Instinct GPUs. [ 7 ] [ 8 ] LUMI is a GPU based system, and the majority of its computing power comes from its GPU cores, an architecture which was chosen primarily for its cost ...
The supercomputers can be used by scientific, commercial and government organizations working in the various sectors of the economy. The machines were developed to work with artificial intelligence algorithms, neural network learning, and inference of various models.
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