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  2. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    The Nvidia Tesla product line competed with AMD's Radeon Instinct and Intel Xeon Phi lines of deep learning and GPU cards. Nvidia retired the Tesla brand in May 2020, reportedly because of potential confusion with the brand of cars. [1] Its new GPUs are branded Nvidia Data Center GPUs [2] as in the Ampere-based A100 GPU. [3]

  3. Volta (microarchitecture) - Wikipedia

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

    At Nvidia's annual GPU Technology Conference keynote on May 10, 2017, Nvidia officially announced the Volta microarchitecture along with the Tesla V100. [3] The Volta GV100 GPU is built on a 12 nm process size using HBM2 memory with 900 GB/s of bandwidth. [20] Nvidia officially announced the Nvidia TITAN V on December 7, 2017. [21] [22]

  4. 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.

  5. NVIDIA's first Volta-powered GPU sits in a $149k supercomputer

    www.aol.com/news/2017-05-10-nvidias-first-volta...

    Today at its GPU Technology Conference, the company announced the NVIDIA Tesla V100 data center GPU, the first processor to use its seventh-generation architecture. Like the Tesla P100 the ...

  6. Ampere (microarchitecture) - Wikipedia

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

    GPU features Nvidia Tesla P100 Nvidia Tesla V100 Nvidia A100 GPU codename GP100 GV100 GA100 GPU architecture Pascal: Volta: Ampere Compute capability 6.0 7.0 8.0 Threads / warp 32 32 32 Max warps / SM 64 64 64 Max threads / SM 2048 2048 2048 Max thread blocks / SM 32 32 32 Max 32-bit registers / SM 65536 65536 65536 Max registers / block 65536 ...

  7. Nvidia CEO says Tesla 'far ahead' in self-driving tech as ...

    www.aol.com/finance/nvidia-ceo-says-tesla-far...

    For example, in order to boost Tesla’s ability to process that amount of data, Nvidia said it helped the company expand its FSD training AI cluster to 35,000 Nvidia Hopper H100 GPUs. In addition ...