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  2. Template:Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Template:Nvidia_Tesla

    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 Computing Server [d] May 2, 2007 4× ...

  3. List of Nvidia graphics processing units - Wikipedia

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

    Model – The marketing name for the processor, assigned by Nvidia. Launch – Date of release for the processor. Code name – The internal engineering codename for the processor (typically designated by an NVXY name and later GXY where X is the series number and Y is the schedule of the project for that generation).

  4. 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.

  5. Tesla (microarchitecture) - Wikipedia

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

    GPU NVIDIA G80 Die shot of the GT200 GPU found inside NVIDIA GeForce GTX 280 cards, based on the Tesla microarchitecture. GeForce 8's unified shader architecture consists of a number of stream processors (SPs). Unlike the vector processing approach taken with older shader units, each SP is scalar and thus can operate only on one component at a ...

  6. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    nView – NVIDIA nView Desktop Management Software; NVWMI – NVIDIA Enterprise Management Toolkit; GameWorks PhysX – is a multi-platform game physics engine; CUDA 9.0–9.2 comes with these other components: CUTLASS 1.0 – custom linear algebra algorithms, NVIDIA Video Decoder was deprecated in CUDA 9.2; it is now available in NVIDIA Video ...

  7. Tesla Autopilot hardware - Wikipedia

    en.wikipedia.org/wiki/Tesla_Autopilot_hardware

    Tesla Autopilot, an advanced driver-assistance system for Tesla vehicles, uses a suite of sensors and an onboard computer. It has undergone several hardware changes and versions since 2014, most notably moving to an all-camera-based system by 2023, in contrast with ADAS from other companies, which include radar and sometimes lidar sensors.

  8. Nvidia GRID - Wikipedia

    en.wikipedia.org/wiki/Nvidia_GRID

    Nvidia GRID is a family of graphics processing units (GPUs) made by Nvidia, introduced in 2008, that is targeted specifically towards cloud gaming. [1] The Nvidia GRID includes both graphics processing and video encoding into a single device which is able to decrease the input to display latency of cloud based video game streaming . [ 2 ]

  9. Kepler (microarchitecture) - Wikipedia

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

    Nvidia Fermi and Kepler GPUs in the GeForce 600 series support the Direct3D 11.0 specification. Nvidia originally stated that the Kepler architecture has full DirectX 11.1 support, which includes the Direct3D 11.1 path. [13] The following "Modern UI" Direct3D 11.1 features, however, are not supported: [14] [15]