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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. 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]

  4. Volta (microarchitecture) - Wikipedia

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

    At Nvidia's annual GPU Technology Conference keynote on May 10, 2017, Nvidia officially announced the Volta microarchitecture along with the Tesla V100. [3] The Volta GV100 GPU is built on a 12 nm process size using HBM2 memory with 900 GB/s of bandwidth. [20] Nvidia officially announced the Nvidia TITAN V on December 7, 2017. [21] [22]

  5. Think Nvidia Is Expensive? This Chart Might Change Your Mind.

    www.aol.com/think-nvidia-expensive-chart-might...

    Nvidia is up 850% since early last year, as of this writing, but it has also seen a commensurate increase in its valuation. The company currently has a price-to-earnings (P/E) ratio of 55, well ...

  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). Fab – Fabrication ...

  7. Nvidia CEO says Tesla 'far ahead' in self-driving tech as ...

    www.aol.com/finance/nvidia-ceo-says-tesla-far...

    Nvidia CEO Jensen Huang believes Tesla’s full self-driving is the most advanced system out right now. ... FSD currently costs $99 a month or $8,000 up-front. Tesla reported in April that FSD had ...

  8. The hidden reason AI costs are soaring—and it’s not because ...

    www.aol.com/finance/hidden-reason-ai-costs...

    Companies training AI models or fine-tuning existing models often overlook a fast-rising cost: ... Much of that expense is for computing power from specialized chips—typically Nvidia GPUs, of ...

  9. SXM (socket) - Wikipedia

    en.wikipedia.org/wiki/SXM_(socket)

    SXM (Server PCI Express Module) [1] is a high bandwidth socket solution for connecting Nvidia Compute Accelerators to a system. Each generation of Nvidia Tesla since the P100 models, the DGX computer series and the HGX boards come with an SXM socket type that realizes high bandwidth, power delivery and more for the matching GPU daughter cards. [2]

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