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AMD GPUs have taken the top 1 and displaced Nvidia in top 10 part of the list. The recent exceptions include the aforementioned Fugaku, Sunway TaihuLight, and K computer. Tianhe-2A is also an interesting exception, as US sanctions prevented use of Xeon Phi; instead, it was upgraded to use the Chinese-designed Matrix-2000 [10] accelerators.
1.10 PFLOPS* 2009 Oak Ridge National Laboratory: Cray: Jaguar: 1.75 PFLOPS* [31] 2010 China: National Supercomputing Center of Tianjin: National University of Defense Technology: Tianhe-1A: 2.57 PFLOPS* [32] 2011 Japan: RIKEN Advanced Institute for Computational Science: Fujitsu: K computer: 10.51 PFLOPS* [33] 2012 United States: Lawrence ...
2×10 15: Nvidia DGX-2 a 2 Petaflop Machine Learning system (the newer DGX A100 has 5 Petaflop performance) 11.5×10 15: Google TPU pod containing 64 second-generation TPUs, May 2017 [9] 17.17×10 15: IBM Sequoia's LINPACK performance, June 2013 [10] 20×10 15: roughly the hardware-equivalent of the human brain according to Ray Kurzweil.
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It became the fastest supercomputer in the world in the June 2020 TOP500 list [6] as well as becoming the first ARM architecture-based computer to achieve this. [7] At this time it also achieved 1.42 exaFLOPS using the mixed fp16/fp64 precision HPL-AI benchmark. It started regular operations in 2021. [8]
This is an accepted version of this page This is the latest accepted revision, reviewed on 1 December 2024. Type of extremely powerful computer For other uses, see Supercomputer (disambiguation). The IBM Blue Gene/P supercomputer "Intrepid" at Argonne National Laboratory runs 164,000 processor cores using normal data center air conditioning, grouped in 40 racks/cabinets connected by a high ...
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