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  2. GeForce 10 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_10_series

    Only the MX150 is based on Pascal's GP108 die used on the GT1030 for Desktops, with higher clock frequencies compared to its Desktop counterpart, while the other chips in the MX series were re-branded versions of the previous generation GPUs (MX130 is a re-branded GT940MX GPU while MX110 is a re-branded GT920MX GPU). [citation needed]

  3. Nvidia PureVideo - Wikipedia

    en.wikipedia.org/wiki/Nvidia_PureVideo

    GeForce GT 1030, MX150: GP108 VP8 H May 2017 Tesla V100-SXM2, V100-PCIE, NVIDIA TITAN V, Quadro GV100: GV100 VP9 I November 2017 NVIDIA TITAN RTX, GeForce RTX 2080 Ti:

  4. GeForce - Wikipedia

    en.wikipedia.org/wiki/GeForce

    The GeForce MX brand, previously used by Nvidia for their entry-level desktop GPUs, was revived in 2017 with the release of the GeForce MX150 for notebooks. [39] The MX150 is based on the same Pascal GP108 GPU as used on the desktop GT 1030, [40] and was quietly released in June 2017. [39]

  5. List of Nvidia graphics processing units - Wikipedia

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

    1030.7 128.83 210 [d] OEM GeForce GTX 560 Ti 448 Cores ... GeForce GT 640 [i] April 24, 2012 GF116 TSMC 40 nm 1170 238 PCIe 2.0 x16 720 — — 1440 891 (1782) 3

  6. Nvidia NVENC - Wikipedia

    en.wikipedia.org/wiki/Nvidia_NVENC

    The NVIDIA GT 1030 and the Mobile Quadro P500 are GP108 chips that don't support the NVENC encoder. [11] In laptop graphics, NVIDIA MX Graphics do not include NVENC as they are based on a Maxwell-generation GM108 or a Pascal-generation GP108 chip. [15] The GeForce MX350 is a GP107 chip whose NVENC encoder is disabled during manufacture.

  7. GeForce 30 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_30_series

    The GeForce 30 series is a suite of graphics processing units (GPUs) developed by Nvidia, succeeding the GeForce 20 series.The GeForce 30 series is based on the Ampere architecture, which features Nvidia's second-generation ray tracing (RT) cores and third-generation Tensor Cores. [3]

  8. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA is a proprietary [2] 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.

  9. Quadro - Wikipedia

    en.wikipedia.org/wiki/Quadro

    The Quadro line of GPU cards emerged in an effort towards market segmentation by Nvidia. [citation needed] In introducing Quadro, Nvidia was able to charge a premium for essentially the same graphics hardware in professional markets, and direct resources to properly serve the needs of those markets.

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