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  2. List of Intel graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_Intel_graphics...

    Specifications of Intel Gen5 graphics processing units [22] [23] Name Launch Market Processor Device ID Execution units Core clock Memory API support Intel Clear Video HD; Code name Model DVMT Bandwidth Direct3D OpenGL OpenCL; HD Graphics 2010 Desktop Ironlake Celeron G1101 0042 12 533 1720 17 10.1 FL10_0 2.1 ES 2.0 Linux: No No

  3. List of Nvidia graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_Nvidia_graphics...

    Core config – The layout of the graphics pipeline, in terms of functional units. Over time the number, type, and variety of functional units in the GPU core has changed significantly; before each section in the list there is an explanation as to what functional units are present in each generation of processors.

  4. GeForce 600 series - Wikipedia

    en.wikipedia.org/wiki/GeForce_600_series

    On March 22, 2012, Nvidia unveiled the 600 series GPU: the GTX 680 for desktop PCs and the GeForce GT 640M, GT 650M, and GTX 660M for notebook/laptop PCs. [13] [14] On April 29, 2012, the GTX 690 was announced as the first dual-GPU Kepler product. [15] On May 10, 2012, the GTX 670 was officially announced. [16]

  5. NVIDIA Retakes the GPU Crown - AOL

    www.aol.com/news/2012-03-23-nvidia-retakes-the...

    All good things come to those who wait. For graphics powerhouse NVIDIA (NAS: NVDA) , that good thing is the launch of its latest graphics processing units, based on its new Kepler architecture.

  6. List of AMD graphics processing units - Wikipedia

    en.wikipedia.org/wiki/List_of_AMD_graphics...

    Launch – Date of release for the GPU. Architecture – The microarchitecture used by the GPU. Fab – Fabrication process. Average feature size of components of the GPU. Transistors – Number of transistors on the die. Die size – Physical surface area of the die. Core config – The layout of the graphics pipeline, in terms of functional ...

  7. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    Nvidia Tesla C2075. Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market. [4] As of 2012, Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China.