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  2. Blackwell (microarchitecture) - Wikipedia

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

    Blackwell is a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to the Hopper and Ada Lovelace microarchitectures.. Named after statistician and mathematician David Blackwell, the name of the Blackwell architecture was leaked in 2022 with the B40 and B100 accelerators being confirmed in October 2023 with an official Nvidia roadmap shown during an investors ...

  3. High Efficiency Video Coding implementations and products

    en.wikipedia.org/wiki/High_Efficiency_Video...

    On April 6, 2017, Nvidia released the NVIDIA TITAN Xp(GP102), which includes full fixed function HEVC Main10/Main12 hardware decoder. On May 17, 2017, Nvidia released the GeForce GT 1030 (GP108), which includes full fixed function HEVC Main10/Main12 hardware decoder. On June 5, 2017, Apple announced HEVC and HEIF support in macOS High Sierra ...

  4. 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]

  5. High Efficiency Video Coding - Wikipedia

    en.wikipedia.org/wiki/High_Efficiency_Video_Coding

    Effective use of these improvements requires much more signal processing capability for compressing the video but has less impact on the amount of computation needed for decompression. HEVC was standardized by the Joint Collaborative Team on Video Coding (JCT-VC), a collaboration between the ISO/IEC MPEG and ITU-T Study Group 16 VCEG. The ISO ...

  6. Broadcast-safe - Wikipedia

    en.wikipedia.org/wiki/Broadcast-safe

    Broadcast-safe video (broadcast legal or legal signal) is a term used in the broadcast industry to define video and audio compliant with the technical or regulatory broadcast requirements of the target area or region the feed might be broadcasting to. [1]

  7. 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. [188] 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 ...

  8. 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.

  9. Advanced Vector Extensions - Wikipedia

    en.wikipedia.org/wiki/Advanced_Vector_Extensions

    For example, an SSE instruction using the conventional two-operand form a ← a + b can now use a non-destructive three-operand form c ← a + b, preserving both source operands. Originally, AVX's three-operand format was limited to the instructions with SIMD operands (YMM), and did not include instructions with general purpose registers (e.g ...