enow.com Web Search

  1. Ad

    related to: nvidia broadcast gpu usage

Search results

  1. Results from the WOW.Com Content Network
  2. Kepler (microarchitecture) - Wikipedia

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

    Kepler is the codename for a GPU microarchitecture developed by Nvidia, first introduced at retail in April 2012, [1] as the successor to the Fermi microarchitecture. Kepler was Nvidia's first microarchitecture to focus on energy efficiency .

  3. 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).

  4. Video Super Resolution - Wikipedia

    en.wikipedia.org/wiki/Video_Super_Resolution

    RTX Video Super Resolution (RTX VSR) is a video scaling feature by Nvidia. It was released on February 28, 2023. It was released on February 28, 2023. [ 1 ] [ 2 ]

  5. Comparison of video codecs - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_video_codecs

    GPU usage by codec – some codecs can drastically increase their performance by taking advantage of GPU resources. So, for example, codec A (being optimized for memory usage – i.e., uses less memory) may, on modern computers (which are typically not memory-limited), give slower performance than codec B.

  6. List of Nvidia graphics processing units - Wikipedia

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

    This number is generally used as a maximum throughput number for the GPU and generally, a higher fill rate corresponds to a more powerful (and faster) GPU. Memory subsection. Bandwidth – Maximum theoretical bandwidth for the processor at factory clock with factory bus width. GHz = 10 9 Hz. Bus type – Type of memory bus or buses used.

  7. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    GPU performance benchmarked on GPU supported features and may be a kernel to kernel performance comparison. For details on configuration used, view application website. Speedups as per Nvidia in-house testing or ISV's documentation. ‡ Q=Quadro GPU, T=Tesla GPU. Nvidia recommended GPUs for this application.

  8. Video random-access memory - Wikipedia

    en.wikipedia.org/wiki/Video_random-access_memory

    GDDR5X SDRAM on an NVIDIA GeForce GTX 1080 Ti graphics card. Video random-access memory (VRAM) is dedicated computer memory used to store the pixels and other graphics data as a framebuffer to be rendered on a computer monitor. [1] It often uses a different technology than other computer memory, in order to be read quickly for display on a screen.

  9. 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]

  1. Ad

    related to: nvidia broadcast gpu usage