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  2. GeForce RTX 30 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_RTX_30_series

    The lineup, designed to compete with AMD's Radeon RX 6000 series of cards, consists of the entry-level and previously laptop-exclusive RTX 3050 and laptop-exclusive RTX 3050 Ti, mid-range RTX 3060, upper-midrange RTX 3060 Ti, high-end RTX 3070, RTX 3070 Ti, RTX 3080 10 GB, RTX 3080 12 GB and enthusiast RTX 3080 Ti, RTX 3090, and RTX 3090 Ti ...

  3. Nvidia RTX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_RTX

    Nvidia RTX (also known as Nvidia GeForce RTX under the GeForce brand) is a professional visual computing platform created by Nvidia, primarily used in workstations for designing complex large-scale models in architecture and product design, scientific visualization, energy exploration, and film and video production, as well as being used in mainstream PCs for gaming.

  4. List of Nvidia graphics processing units - Wikipedia

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

    This list contains general information about graphics processing units (GPUs) and video cards from Nvidia, based on official specifications.In addition some Nvidia motherboards come with integrated onboard GPUs.

  5. GeForce RTX 20 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_20_series

    The GeForce 20 series is a family of graphics processing units developed by Nvidia. [8] Serving as the successor to the GeForce 10 series, [9] the line started shipping on September 20, 2018, [10] and after several editions, on July 2, 2019, the GeForce RTX Super line of cards was announced.

  6. Nvidia PureVideo - Wikipedia

    en.wikipedia.org/wiki/Nvidia_PureVideo

    NVIDIA TITAN RTX, GeForce RTX 2080 Ti: TU102 VP10 J September 2018 Introduced HEVC video decoding of 4:4:4 profiles GeForce RTX 2080 Super, RTX 2080, RTX 2070 Super: TU104 VP10 J September 2018 GeForce RTX 2060, RTX 2060 Super, RTX 2070: TU106 VP10 J October 2018 GeForce GTX 1650 Super, GTX 1660, GTX 1660 Super, GTX 1660 Ti: TU116 VP10 J ...

  7. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    In computing, CUDA (Compute Unified Device Architecture) 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.