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  2. TOP500 - Wikipedia

    en.wikipedia.org/wiki/TOP500

    Share of processor families in TOP500 supercomputers by year [needs update]. As of June 2022, all supercomputers on TOP500 are 64-bit supercomputers, mostly based on CPUs with the x86-64 instruction set architecture, 384 of which are Intel EMT64-based and 101 of which are AMD AMD64-based, with the latter including the top eight supercomputers. 15 other supercomputers are all based on RISC ...

  3. Better Quantum Computing Stock: IonQ vs. Alphabet - AOL

    www.aol.com/better-quantum-computing-stock-ionq...

    This chip completed a calculation in five minutes that would take the world's most powerful supercomputers 10 septillion years to complete, which is longer than the age of the universe.

  4. How Tesla's Dojo supercomputer will power the 'Muskonomy' - AOL

    www.aol.com/finance/teslas-dojo-supercomputer...

    Tesla's Dojo supercomputer consists of several "system trays" of the company’s in-house D1 chips, which are built into cabinets that then merge into an "ExaPOD" supercomputer.

  5. 1 Top Quantum Computing Stock to Buy Right Now - AOL

    www.aol.com/1-top-quantum-computing-stock...

    The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and International Business Machines wasn’t one of them. The 10 ...

  6. El Capitan (supercomputer) - Wikipedia

    en.wikipedia.org/wiki/El_Capitan_(supercomputer)

    Hewlett Packard Enterprise El Capitan is an exascale supercomputer, hosted at the Lawrence Livermore National Laboratory in Livermore, California, United States, that became operational in 2024. It is based on the Cray EX Shasta architecture. El Capitan displaced Frontier as the world's fastest supercomputer in the 64th edition of the Top500 ...

  7. LINPACK benchmarks - Wikipedia

    en.wikipedia.org/wiki/LINPACK_benchmarks

    The latest version of these benchmarks is used to build the TOP500 list, ranking the world's most powerful supercomputers. [1] The aim is to approximate how fast a computer will perform when solving real problems. It is a simplification, since no single computational task can reflect the overall performance of a computer system.