WikiChip

@WikiChip

The official WikiChip Twitter account. Hardware (logic), computer architectures, & semiconductor engineering. Technical.

Unit: novembre de 2016

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  1. 20 de set.

    [S] Inside PFN's AI processor & the world's most power-efficient supercomputer. Packing 52B xTors across 3050 mm² of silicon, this accelerator was developed to give this Japanese startup a competitive advantage exclusively for its own internal hardware.

    Desfés
  2. 13 de set.

    A look at Qualcomm's Data Center Inference Accelerator, the Cloud AI 100.

    Desfés
  3. 22 d’ag.

    While most AI startups are racing to the 'latest & greatest' node, Mythic is comfortably competing using 40nm. With flash & analog as their secrete weapon the company recently raised $70M in Series C to push their M1100-Series accelerators into production

    Desfés
  4. 21 d’ag.

    [S] Google accelerates YouTube and other video services with custom silicon.

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  5. Desfés
  6. Desfés
  7. 16 d’ag.

    [S] Photonics chiplet inches towards production; demos 8 Tbps optically-connected FPGAs

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  8. 2 d’ag.
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  9. 26 de jul.
    Mostra el fil
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  10. 26 de jul.
    Mostra el fil
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  11. 26 de jul.

    Intel 2021 Process Technology Update: Intel 7, Intel 4, Intel 3, and Intel 20A

    Mostra el fil
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  12. 11 de jul.
    Desfés
  13. 10 de jul.

    A look at Esperanto's ET-SoC-1, the startup's first AI inference accelerator for the data center. The company took a unique RISC-V approach with a massively multi-core chip with nearly 1,100 custom-designed CPU cores.

    Desfés
  14. 8 de jul.
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  15. 6 de jul.
    Mostra el fil
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  16. 6 de jul.
    Mostra el fil
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  17. 28 de juny

    Marvell launches the OCTEON 10 DPU series. Fabricated on a 5 nm process, these chips integrate Neoverse N2 cores, AI acceleration, vector packet processing acceleration, a 1 terabit switch, and the latest DDR5 and PCIe 5.0 I/O interfaces.

    Desfés
  18. 23 de juny

    Arm introduces its Confidential Compute Architecture (CCA) which provides a mechanism for Realms, secure enclaves that may be used by any application in order to protect data in use from everything else on the system.

    Desfés
  19. 22 de juny

    [S] Intel talks 10-nanometer DTCO and the benefits of EUV on their future 7 nm and 5 nm nodes.

    Desfés
  20. 13 de juny

    [S] With Intel's acquisition of eASIC in 2018, the company's latest product - codenamed Diamond Mesa - attempts to bridge the gap between full ASIC and FPGAs.

    Desfés

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