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  2. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    Nvidia Tesla C2075. Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market. [4] As of 2012, Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China.

  3. Nvidia DGX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_DGX

    The DGX A100 was the 3rd generation of DGX server, including 8 Ampere-based A100 accelerators. [21] Also included is 15 TB of PCIe gen 4 NVMe storage, [22] 1 TB of RAM, and eight Mellanox-powered 200 GB/s HDR InfiniBand ConnectX-6 NICs. The DGX A100 is in a much smaller enclosure than its predecessor, the DGX-2, taking up only 6 Rack units. [23]

  4. Meet the $10,000 Nvidia chip powering the race for A.I. - AOL

    www.aol.com/news/meet-10-000-nvidia-chip...

    This system, Nvidia’s DGX A100, has a suggested price of nearly $200,000, although it comes with the chips needed. On Wednesday, Nvidia said it would sell cloud access to DGX systems directly ...

  5. Ampere (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Ampere_(microarchitecture)

    The A100 accelerator was initially available only in the 3rd generation of DGX server, including 8 A100s. [9] Also included in the DGX A100 is 15 TB of PCIe gen 4 NVMe storage, [22] two 64-core AMD Rome 7742 CPUs, 1 TB of RAM, and Mellanox-powered HDR InfiniBand interconnect. The initial price for the DGX A100 was $199,000. [9]

  6. NVIDIA's massive A100 GPU isn't for you - AOL

    www.aol.com/news/nvidia-ampere-a100-gpu-specs...

    In this mini-episode of our explainer show, Upscaled, we break down NVIDIA's latest GPU, the A100, and its new graphics architecture Ampere. Announced at the company's long-delayed GTC conference ...

  7. Hopper (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Hopper_(microarchitecture)

    4 NVIDIA H100 GPUs. Hopper is a graphics processing unit (GPU) microarchitecture developed by Nvidia. It is designed for datacenters and is used alongside the Lovelace microarchitecture. It is the latest generation of the line of products formerly branded as Nvidia Tesla, now Nvidia Data Centre GPUs.

  8. Oracle Buys Tens of Thousands of Nvidia A100, H100 GPUs - AOL

    www.aol.com/oracle-buys-tens-thousands-nvidia...

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  9. Tesla Dojo - Wikipedia

    en.wikipedia.org/wiki/Tesla_Dojo

    Tesla operates several massively parallel computing clusters for developing its Autopilot advanced driver assistance system. Its primary unnamed cluster using 5,760 Nvidia A100 graphics processing units (GPUs) was touted by Andrej Karpathy in 2021 at the fourth International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2021) to be "roughly the number five supercomputer in ...