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  2. Template:Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Template:Nvidia_Tesla

    C870 GPU Computing Module [d] Tesla: May 2, 2007 1× G80 600 128 1,350 — GDDR3 384 1.5 1,600 76.8 No 0.3456 No 1.0 170.9 Internal PCIe GPU (full-height, dual-slot) D870 Deskside Computer [d] May 2, 2007 2× G80 600 256 1,350 — GDDR3 2× 384 2× 1.5 1,600 2× 76.8 No 0.6912 No 1.0 520 Deskside or 3U rack-mount external GPUs S870 GPU ...

  3. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    1.5 1600 76.8 No 0.3456 No 1.0 170.9 Internal PCIe GPU (full-height, dual-slot) D870 Deskside Computer [d] May 2, 2007 2× G80 600 256 1350 — GDDR3 2× 384 2× 1.5 1600 2× 76.8 No 0.6912 No 1.0 520 Deskside or 3U rack-mount external GPUs S870 GPU Computing Server [d] May 2, 2007 4× G80 600 512 1350 — GDDR3 4× 384 4× 1.5 1600 4× 76.8 No ...

  4. Nvidia Jetson - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Jetson

    Only half of the CPU (only 4x A57 @ 1.43 GHz) and GPU (128 cores of Maxwell generation @ 921 MHz) cores are present and only half of the maximum possible RAM is attached (4 GB LPDDR4 @ 64 bit + 1.6 GHz = 25.6 GB/s) whilst the available or usable interfacing is determined by the baseboard design and is further subject of implementation decisions ...

  5. Tesla (microarchitecture) - Wikipedia

    en.wikipedia.org/wiki/Tesla_(microarchitecture)

    So one SM as a whole can execute 8 MADs (16 operations) and 8 MULs (8 operations) per clock, or 24 operations per clock, which is (relatively speaking) 3 times the number of SPs. Therefore, to calculate the theoretical dual-issue MAD+MUL performance in floating point operations per second [ FLOPS sp+sfu , GFLOPS ] of a graphics card with SP ...

  6. List of Nvidia graphics processing units - Wikipedia

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

    The base requirement for Vulkan 1.0 in terms of hardware features was OpenGL ES 3.1 which is a subset of OpenGL 4.3, which is supported on all Fermi and newer cards. Memory bandwidths stated in the following table refer to Nvidia reference designs.

  7. Tensor Processing Unit - Wikipedia

    en.wikipedia.org/wiki/Tensor_Processing_Unit

    Compared to a graphics processing unit, TPUs are designed for a high volume of low precision computation (e.g. as little as 8-bit precision) [3] with more input/output operations per joule, without hardware for rasterisation/texture mapping. [4]

  8. RIVA TNT - Wikipedia

    en.wikipedia.org/wiki/RIVA_TNT

    RIVA is an acronym for Real-time Interactive Video and Animation accelerator. [1] The "TNT" suffix refers to the chip's ability to work on two texels at once (TwiN Texel). [2] The first graphics card that was based on the RIVA TNT chip was the Velocity 4400, released by STB Systems on June 15, 1998.

  9. Nvidia DGX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_DGX

    The DGX-1 was first available in only the Pascal-based configuration, with the first generation SXM socket. The later revision of the DGX-1 offered support for first generation Volta cards via the SXM-2 socket. Nvidia offered upgrade kits that allowed users with a Pascal-based DGX-1 to upgrade to a Volta-based DGX-1. [7] [8]