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  2. List of IOMMU-supporting hardware - Wikipedia

    en.wikipedia.org/wiki/List_of_IOMMU-supporting...

    The vast majority of Intel server chips of the Xeon E3, Xeon E5, and Xeon E7 product lines support VT-d. The first—and least powerful—Xeon to support VT-d was the E5502 launched Q1'09 with two cores at 1.86 GHz on a 45 nm process. [ 2 ]

  3. ATI Rage - Wikipedia

    en.wikipedia.org/wiki/ATI_Rage

    In IBM-compatible PCs, several motherboards and video cards used the chipset as well including: the 3D Xpression+, the 3D Pro Turbo, and the original All-in-Wonder. The 3D Rage IIc was the last version of the Rage II core and offered optional AGP support. The Rage IIc was used in the original iMac (Revision A) in 1998.

  4. 3dfx - Wikipedia

    en.wikipedia.org/wiki/3dfx

    The Diamond Monster 3D was the most popular graphics card using the Voodoo Graphics chipset. [12] A die shot of the Voodoo Graphics texture mapping chip Towards the end of 1995, the cost of DRAM dropped significantly and 3dfx was able to enter the consumer PC hardware market with aggressive pricing compared to the few previous 3D graphics ...

  5. Voodoo2 - Wikipedia

    en.wikipedia.org/wiki/Voodoo2

    The 8 MB card has 2 MB of memory per texture mapping unit (TMU) vs. 4 MB on the 12 MB model. The 4 MB framebuffer on both cards support a maximum screen resolution of 800 × 600, while the increased texture memory on the 12 MB card allows more detailed textures. Some boards with 8 MB can be upgraded to 12 MB with an additional daughter board.

  6. Matrox Mystique - Wikipedia

    en.wikipedia.org/wiki/Matrox_Mystique

    Its 2D support rivaled the best cards available for performance and quality, however. It was not uncommon to pair up the Mystique or another Matrox card with a 3Dfx Voodoo Graphics 3D-only board because the Voodoo cards were the fastest and most well-supported 3D accelerators at the time. Detractors, however, referred to the card as the "Matrox ...

  7. GPU virtualization - Wikipedia

    en.wikipedia.org/wiki/GPU_virtualization

    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).

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