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  2. 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]

  3. List of Nvidia graphics processing units - Wikipedia

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

    GeForce GTX 555 May 14, 2011 GF114 1950 332 736 1472 3828 6 288:48:24 1 91.9 128+64 [e] 17.6 35.3 847.9 Un­known 150 OEM GeForce GTX 560 SE February 20, 2012 [68] GF114-200-KB-A1 [f] Un­known GeForce GTX 560 May 17, 2011 GF114-325-A1 [f] 810 1620 4008 7 336:56:32 1 2 128.1 256 25.92 45.36 1088.6 Un­known $199 GeForce GTX 560 Ti January 25, 2011

  4. GeForce 16 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_16_series

    The GeForce 16 series is a series of graphics processing units (GPUs) developed by Nvidia, based on the Turing microarchitecture, announced in February 2019. [5] The 16 series, commercialized within the same timeframe as the 20 series, aims to cover the entry-level to mid-range market, not addressed by the latter.

  5. Ampere (microarchitecture) - Wikipedia

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

    Ampere is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to both the Volta and Turing architectures. It was officially announced on May 14, 2020 and is named after French mathematician and physicist André-Marie Ampère.

  6. Nvidia NVENC - Wikipedia

    en.wikipedia.org/wiki/Nvidia_NVENC

    Nvidia NVENC (short for Nvidia Encoder) [1] is a feature in Nvidia graphics cards that performs video encoding, offloading this compute-intensive task from the CPU to a dedicated part of the GPU. It was introduced with the Kepler-based GeForce 600 series in March 2012 (GT 610, GT620 and GT630 is Fermi Architecture). [2] [3]

  7. 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.

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