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Nvidia VDPAU Feature Sets [18] are different hardware generations of Nvidia GPU's supporting different levels of hardware decoding capabilities. For feature sets A, B and C, the maximum video width and height are 2048 pixels , minimum width and height 48 pixels, and all codecs are currently limited to a maximum of 8192 macroblocks (8190 for VC ...
In the middle: the FOSS stack, composed out of DRM & KMS driver, libDRM and Mesa 3D.Right side: Proprietary drivers: Kernel BLOB and User-space components. nouveau (/ n uː ˈ v oʊ /) is a free and open-source graphics device driver for Nvidia video cards and the Tegra family of SoCs written by independent software engineers, with minor help from Nvidia employees.
A current version can be downloaded from the Internet, and some Linux distributions contain it in their repositories. The 4 October 2013 beta Nvidia GeForce driver 331.13 supports the EGL interface, enabling support for Wayland in conjunction with this driver. [33] [34] Nvidia's free and open-source driver is named nv. [35]
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]
Community-created, free and open-source drivers exist as an alternative to the drivers released by Nvidia. Open-source drivers are developed primarily for Linux, however there may be ports to other operating systems. The most prominent alternative driver is the reverse-engineered free and open-source nouveau graphics device driver.
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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).
Nvidia is essentially the only game in town for the type of hardware firms need for their complex AI plans. But it might not always be that way, as Amazon and Google try to build out their own ...