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GPU virtualization refers to technologies that allow the use of a GPU to accelerate graphics or GPGPU applications running on a virtual machine.GPU virtualization is used in various applications such as desktop virtualization, [1] cloud gaming [2] and computational science (e.g. hydrodynamics simulations).
A graphical demo running as a benchmark of the OGRE engine. In computing, a benchmark is the act of running a computer program, a set of programs, or other operations, in order to assess the relative performance of an object, normally by running a number of standard tests and trials against it.
† Expected speedups are highly dependent on system configuration. GPU performance compared against multi-core x86 CPU socket. GPU performance benchmarked on GPU supported features and may be a kernel to kernel performance comparison. For details on configuration used, view application website.
Desktop 4906 GPU SG-18M Server 4907 Iris Xe Graphics Desktop 4908 UHD Graphics 710 2021 Desktop Alder Lake: Celeron G6900. Celeron G6900T. 4693 128:16:2 300 1300 76.8 Pentium Gold G7400. Pentium Gold G7400T 1350 UHD Graphics 730 i3-12100. i3-12100T 4692 192:24:3 300 1400 i3-12300. i3-12300T i5-12400 i5-12400T 1450 UHD Graphics 770 i5-12500. i5 ...
This ended in 2016 with the launch of the laptop GeForce 10 series – Nvidia dropped the M suffix, opting to unify the branding between their desktop and laptop GPU offerings, as notebook Pascal GPUs are almost as powerful as their desktop counterparts (something Nvidia tested with their "desktop-class" notebook GTX 980 GPU back in 2015). [37]
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