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Nvidia Optimus is a computer GPU switching technology created by Nvidia which, depending on the resource load generated by client software applications, will seamlessly switch between two graphics adapters within a computer system in order to provide either maximum performance or minimum power draw from the system's graphics rendering hardware.
A classic motherboard with on-board integrated graphics processors, a discrete graphics card can be installed at a PCI slot. GPU switching is a mechanism used on computers with multiple graphic controllers. This mechanism allows the user to either maximize the graphic performance or prolong battery life by switching between the graphic cards.
The source code is available in the Nvidia Linux driver downloads on systems that support nvidia-uvm.ko. In May 2022, Nvidia announced a new initiative and policy to open source its GPU Loadable Kernel Modules with dual GPL/MIT license, but only new models at alpha quality. But said "These changes are for the kernel modules, while the user-mode ...
Amongst the notable discrete graphics card vendors, ATI Technologies — acquired by AMD in 2006 and since renamed to AMD — and NVIDIA are the only ones that have lasted. During 2022 Intel entered the discrete GPU market with the Arc series and has three more generations confirmed on two year release schedules.
For certain GPU models, Nvidia and AMD video card drivers attempt to detect the GPU is being accessed by a virtual machine and disable some or all GPU features. [35] NVIDIA has recently changed virtualization rules for consumer GPUs by disabling the check in GeForce Game Ready driver 465.xx and later. [36] For NVIDIA, various architectures of ...
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]
Application developers also have the preference on how GPU commands are executed on which GPUs and provides suggestion on which GPU a certain command is most efficient to execute (commands to render a scene can be executed by the discrete GPU while post-processing and display can be handled by the integrated GPU). [8]
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.