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  2. Nvidia NVDEC - Wikipedia

    en.wikipedia.org/wiki/Nvidia_NVDEC

    Nvidia NVDEC (formerly known as NVCUVID [1]) is a feature in its graphics cards that performs video decoding, offloading this compute-intensive task from the CPU. [2] NVDEC is a successor of PureVideo and is available in Kepler and later NVIDIA GPUs. It is accompanied by NVENC for video encoding in Nvidia's Video Codec SDK. [2]

  3. Free and open-source graphics device driver - Wikipedia

    en.wikipedia.org/wiki/Free_and_open-source...

    In June 2014, Codethink reportedly ran a Wayland-based Weston compositor with Linux kernel 3.15, using EGL and a "100% open-source graphics driver stack" on a Tegra K1. [46] A feature matrix is available. [47] In July 2014, Nouveau was unable to outperform the Nvidia GeForce driver due to missing re-clocking support.

  4. GeForce 8 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_8_series

    The 8800 series replaced the GeForce 7950 series as Nvidia's top-performing consumer GPU. GeForce 8800 GTX and GTS use identical GPU cores, but the GTS model disables parts of the GPU and reduces RAM size and bus width to lower production cost. At the time, the G80 was the largest commercial GPU ever constructed.

  5. Nvidia - Wikipedia

    en.wikipedia.org/wiki/Nvidia

    In April 2016, Nvidia produced the DGX-1 based on an 8 GPU cluster, to improve the ability of users to use deep learning by combining GPUs with integrated deep learning software. [187] Nvidia gifted its first DGX-1 to OpenAI in August 2016 to help it train larger and more complex AI models with the capability of reducing processing time from ...

  6. Deep learning super sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    The data collected must be as comprehensive as possible, including as many levels, times of day, graphical settings, resolutions, etc. as possible. This data is also augmented using common augmentations such as rotations, colour changes, and random noise to help generalize the test data. Training is performed on Nvidia's Saturn V supercomputer.

  7. GeForce - Wikipedia

    en.wikipedia.org/wiki/GeForce

    The RTX 3090 Ti is the highest-end Nvidia GPU on the Ampere microarchitecture, it features a fully unlocked GA102 die built on the Samsung 8 nm node due to supply shortages with TSMC. The RTX 3090 Ti has 10,752 CUDA cores, 336 Tensor cores and texture mapping units, 112 ROPs, 84 RT cores, and 24 gigabytes of GDDR6X memory with a 384-bit bus. [34]

  8. Nvidia GTC - Wikipedia

    en.wikipedia.org/wiki/Nvidia_GTC

    Nvidia GTC (GPU Technology Conference) is a global artificial intelligence (AI) conference for developers that brings together developers, engineers, researchers, inventors, and IT professionals. [1] Topics focus on AI, computer graphics , data science , machine learning and autonomous machines .

  9. High Efficiency Video Coding - Wikipedia

    en.wikipedia.org/wiki/High_Efficiency_Video_Coding

    On January 22, 2015, Nvidia released the GeForce GTX 960 (GM206), which includes the world's first full fixed function HEVC Main/Main10 hardware decoder in a discrete graphics card. [ 99 ] On February 23, 2015, Advanced Micro Devices (AMD) announced that their UVD ASIC to be found in the Carrizo APUs would be the first x86 based CPUs to have a ...