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  2. 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 ...

  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. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    Tesla cards have four times the double precision performance of a Fermi-based Nvidia GeForce card of similar single precision performance. [citation needed] Unlike Nvidia's consumer GeForce cards and professional Nvidia Quadro cards, Tesla cards were originally unable to output images to a display. However, the last Tesla C-class products ...

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

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

    Tesla’s need for Nvidia, and its own hardware, also points to the wide breadth of the AI market and variety of use cases that range from Musk’s pursuit of self-driving vehicles to smart home ...

  6. 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).

  7. Hopper (microarchitecture) - Wikipedia

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

    4 Nvidia H100 GPUs. Hopper is a graphics processing unit (GPU) microarchitecture developed by Nvidia. It is designed for datacenters and is used alongside the Lovelace microarchitecture. It is the latest generation of the line of products formerly branded as Nvidia Tesla, now Nvidia Data Centre GPUs.

  8. Comparison of Nvidia nForce chipsets - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_Nvidia_n...

    This is a comparison of chipsets designed by Nvidia. Nvidia stopped producing chipsets in 2009. [ 1 ] Nvidia codenames its chipsets MCPs (Media and Communications Processors).

  9. Tesla likely to spend $3 billion-$4 billion on Nvidia ... - AOL

    www.aol.com/news/tesla-likely-spend-3-billion...

    Tesla in April reiterated its capital expenditure forecast of more than $10 billion this year and said it had expected capex to be between $8 billion and $10 billion in each of the following years.