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  2. Template:Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Template:Nvidia_Tesla

    November 12, 2012 1× GK110 — 2,496 706 758 GDDR5 320 5 5,200 208 No 3.524 1.175 3.5 225 Internal PCIe GPU (full-height, dual-slot) K20X GPU accelerator [12] November 12, 2012 1× GK110 — 2,688 732 ? GDDR5 384 6 5,200 250 No 3.935 1.312 3.5 235 Internal PCIe GPU (full-height, dual-slot) K40 GPU accelerator [13] October 8, 2013 1× GK110B ...

  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. List of Nvidia graphics processing units - Wikipedia

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

    16:8:4 1.8 3.6 256 512 1024 12.8 DDR2 128 28.8 10.0 1.1 45 GeForce 8600 GS April 2007 G84 289 169 PCIe 1.0 x16 540 1180 16:8:8 4.32 4.32 256 512 75.5 47 OEM only GeForce 8600 GT April 17, 2007 PCIe 1.0 x16 PCI 1188 400 700 32:16:8 8.64 256 512 1024 12.8 22.4 DDR2 GDDR3 76 GeForce 8600 GTS PCIe 1.0 x16 675 1450 1000 5.4 10.8 256 512 32 GDDR3 92.8 71

  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. 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]

  7. Nvidia Jetson - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Jetson

    from 512-core Nvidia Ampere architecture GPU with 16 Tensor cores 6-core ARM Cortex-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3 4–8 GiB 7–10 W 2023 Jetson Orin NX 70–100 TOPS 1024-core Nvidia Ampere architecture GPU with 32 Tensor cores up to 8-core ARM Cortex-A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3 8–16 GiB 10–25 W 2023 Jetson AGX Orin

  8. Ampere (microarchitecture) - Wikipedia

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

    Ampere is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia as the successor to both the Volta and Turing architectures. It was officially announced on May 14, 2020, and is named after French mathematician and physicist André-Marie Ampère.

  9. Turing (microarchitecture) - Wikipedia

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

    Turing is the codename for a graphics processing unit (GPU) microarchitecture developed by Nvidia. It is named after the prominent mathematician and computer scientist Alan Turing . The architecture was first introduced in August 2018 at SIGGRAPH 2018 in the workstation-oriented Quadro RTX cards, [ 2 ] and one week later at Gamescom in consumer ...