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  2. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    The Nvidia Tesla product line competed with AMD's Radeon Instinct and Intel Xeon Phi lines of deep learning and GPU cards. Nvidia retired the Tesla brand in May 2020, reportedly because of potential confusion with the brand of cars. [1] Its new GPUs are branded Nvidia Data Center GPUs [2] as in the Ampere-based A100 GPU. [3]

  3. Template:Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Template:Nvidia_Tesla

    Template: Nvidia Tesla. ... K40 GPU accelerator [13] October 8, 2013 1× GK110B — 2,880 745 ... MXM card P40 GPU accelerator [21] September 13, 2016

  4. 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 ...

  5. List of Nvidia graphics processing units - Wikipedia

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

    All cards have a PCIe 2.0 x16 Bus interface. 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.

  6. Kepler (microarchitecture) - Wikipedia

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

    Die shot of a GK110 A1 GPU, found inside GeForce GTX Titan cards. The goal of Nvidia's previous architecture was design focused on increasing performance on compute and tessellation. With the Kepler architecture, Nvidia targeted their focus on efficiency, programmability, and performance.

  7. Tesla CEO Elon Musk: 'We're using a lot of Nvidia hardware' - AOL

    www.aol.com/finance/elon-musk-were-using-lot...

    Tesla CEO Elon Musk on Wednesday said the company is using so much Nvidia hardware to power its self-driving training systems, the chipmaker can’t keep up with its demand.Musk discussed Tesla ...

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