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  2. PyTorch - Wikipedia

    en.wikipedia.org/wiki/PyTorch

    PyTorch Tensors are similar to NumPy Arrays, but can also be operated on a CUDA-capable NVIDIA GPU. PyTorch has also been developing support for other GPU platforms, for example, AMD's ROCm [27] and Apple's Metal Framework. [28] PyTorch supports various sub-types of Tensors. [29]

  3. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA is a proprietary [1] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.

  4. List of Nvidia graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_Nvidia_graphics...

    CUDA; GeForce 8100 mGPU [44] 2008 MCP78 TSMC 80 nm Un­known Un­known PCIe 2.0 x16 500 1200 400 (system memory) 8:8:4 2 4 Up to 512 from system memory 6.4 12.8 DDR2 64 128 28.8 10.0 3.3 n/a n/a Un­known The block of decoding of HD-video PureVideo HD is disconnected GeForce 8200 mGPU [44] Un­known Un­known gt Un­known PureVideo 3 with VP3

  5. GeForce 10 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_10_series

    CUDA Compute Capability 6.0 (GP100 only), 6.1 (GP102, GP104, GP106, GP107, GP108) DisplayPort 1.4 (No DSC) HDMI 2.0b; Fourth generation Delta Color Compression; PureVideo Feature Set H hardware video decoding HEVC Main10 (10 bit), Main12 (12 bit) & VP9 hardware decoding (GM200 & GM204 did not support HEVC Main10/Main12 & VP9 hardware decoding) [6]

  6. Quadro - Wikipedia

    en.wikipedia.org/wiki/Quadro

    CUDA SDK 12.0 support for Compute Capability 5.0 – 8.9 (Maxwell, Pascal, Volta, Turing, Ampere, Ada Lovelace) See also. Comparison of Nvidia graphics processing ...

  7. Ampere (microarchitecture) - Wikipedia

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

    The A100 features 19.5 teraflops of FP32 performance, 6912 FP32/INT32 CUDA cores, 3456 FP64 CUDA cores, 40 GB of graphics memory, and 1.6 TB/s of graphics memory bandwidth. [22] The A100 accelerator was initially available only in the 3rd generation of DGX server, including 8 A100s. [ 9 ]

  8. Pascal (microarchitecture) - Wikipedia

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

    Painting of Blaise Pascal, eponym of architecture. Pascal is the codename for a GPU microarchitecture developed by Nvidia, as the successor to the Maxwell architecture. The architecture was first introduced in April 2016 with the release of the Tesla P100 (GP100) on April 5, 2016, and is primarily used in the GeForce 10 series, starting with the GeForce GTX 1080 and GTX 1070 (both using the ...

  9. GeForce 800M series - Wikipedia

    en.wikipedia.org/wiki/GeForce_800M_series

    NVIDIA N15P-GX-A2 GPU of the GeForce 860M with its VRAM. The GeForce 800M series is a family of graphics processing units by Nvidia for laptop PCs. [3] It consists of rebrands of mobile versions of the GeForce 700 series [3] and some newer chips that are lower end compared to the rebrands.