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Omega Drivers [1] were unofficial, third-party device drivers for ATI and NVIDIA graphics cards, created by Angel Trinidad. [2] They differed from the official drivers in that they offer more customization and extra features. [3] They are compatible with some ATI graphics cards and some NVIDIA cards that use Detonator drivers.
Nvidia's proprietary driver, Nvidia GeForce driver for GeForce, is available for Windows x86/x86-64, Linux x86/x86-64/ARM, OS X 10.5 and later, Solaris x86/x86-64 and FreeBSD x86/x86-64. A current version can be downloaded from the Internet, and some Linux distributions contain it in their repositories.
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.
This card is sometimes referred to as "GeForce 8400 GS Rev. 2". During mid-2010 Nvidia released another revision of the GeForce 8400 GS based on the GT218 chip. [6] It has a larger amount of RAM, a significantly reduced 3D-performance, and is capable of DirectX 10.1, OpenGL 3.3 and Shader 4.1. This card is also known as "GeForce 8400 GS Rev. 3".
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 ...
Model – The marketing name for the processor, assigned by Nvidia. Launch – Date of release for the processor. Code name – The internal engineering codename for the processor (typically designated by an NVXY name and later GXY where X is the series number and Y is the schedule of the project for that generation).
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.
The GeForce 400 series is a series of graphics processing units developed by Nvidia, serving as the introduction of the Fermi microarchitecture.Its release was originally slated in November 2009, [2] however, after delays, it was released on March 26, 2010, with availability following in April 2010.