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In June 2020 [25] the Japanese supercomputer Fugaku achieved 1.42 exaFLOPS using the alternative HPL-AI benchmark. In 2022, the world's first public exascale computer, Frontier, was announced, achieving an Rmax of 1.102 exaFLOPS in June 2022. [8] As of November 2024, the world's fastest supercomputer is El Capitan at 1.742 exaFLOPS. [9]
Oak Ridge partnered with HPE Cray and AMD to build the system at a cost of US$600 million. It began deployment in 2021 [15] and reached full capability in 2022. [16] It clocked 1.1 exaflops Rmax in May 2022, making it the world's fastest supercomputer as measured in the June 2022 edition of the TOP500 list, replacing Fugaku. [1] [17]
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 ...
Amazon has also been doing the same: Before laying off 27,000 workers between 2022 and 2023, the employer put a large number of employees on performance improvement plans (PIPs). Then the firings ...
Aurora is an exascale supercomputer that was sponsored by the United States Department of Energy (DOE) and designed by Intel and Cray for the Argonne National Laboratory. [2] It was briefly the second fastest supercomputer in the world from November 2023 to June 2024.
More than 79.3 million U.S. chickens died in 2022 and 2023 as result of H5N1 infections and related culling, according to a January report from TD Cowen. In total, H5N1 is estimated to have led to ...
You don't need to wait until Black Friday for the year's best deals. While the holiday tends to bring huge drops before the holidays, you can find great deals anytime — especially at Amazon ...
1.32×10 15: Nvidia GeForce 40 series' RTX 4090 consumer graphics card achieves 1.32 petaflops in AI applications, October 2022 [8] 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]