![]() Department of Energy announced a contract with Hewlett Packard Enterprise and AMD to build the El Capitan supercomputer at a cost of US$600 million, to be installed at the Lawrence Livermore National Laboratory (LLNL). Frontier is anticipated to be operational in 2021 and, with a performance of greater than 1.5 exaFLOPS, should then be the world's most powerful computer. Department of Energy announced a contract with Cray (now Hewlett Packard Enterprise) to build the Frontier supercomputer at Oak Ridge National Laboratory. The computer, named Aurora is to be delivered to Argonne by Intel and Cray (now Hewlett Packard Enterprise), and is expected to use Intel Xe GPGPUs alongside a future Xeon Scalable CPU, and cost US$600 Million. "On 18 March 2019, the United States Department of Energy and Intel announced the first exaFLOPS supercomputer would be operational at Argonne National Laboratory by the end of 2021. If you want to believe Intel's marketing of so-called one petaFLOP (~100X faster than the A100) then I have a bridge to sell you located on some prime Louisiana beachfront property.īad rumors start from bad rumor sites/blogs/tweets like this one. The A100 does 9.7 teraFLOPS of FP64 compute which converts to 0.0097 petaFLOPS of FP64 compute. We are currently about to enter exaFLOPS (10^18 ) territory using FP64 as the metric, like it has been so for several decades now. There are a bunch of CPU's which use a whole lot of watts that you have sort of left out of your calculations. ![]() Similar measures are available for 32-bit ( FP32) and 16-bit ( FP16) operations. "FLOPS can be recorded in different measures of precision, for example, the TOP500 supercomputer list ranks computers by 64 bit (double-precision floating-point format) operations per second, abbreviated to FP64. Intel Xe-HPC, 600 W (presumably): 1,66 TFlops/WattĪMD Instinct MI100, 300 W: 0,62 TFlops/Watt ![]() The current leading Top500-system uses 29,9 MWatts and delivers not even half the performance of the Aurora.Ĭurrently a lot of details are missing, but if you compare 1 PFlops FP16 (most likely) at 600 W against nVidia's top-selling card A100 with 0,31 PFlops FP16 at 400 W, the Intel design is much more efficient. ![]()
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