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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. 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 ...

4. 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]

5. 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.

6. 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 ...

7. Tesla Dojo - Wikipedia

   en.wikipedia.org/wiki/Tesla_Dojo

   Tesla Dojo is a supercomputer designed and built by Tesla for computer vision video processing and recognition. [1] It is used for training Tesla's machine learning models to improve its Full Self-Driving (FSD) advanced driver-assistance system .

8. 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]

9. Ada Lovelace (microarchitecture) - Wikipedia

   en.wikipedia.org/wiki/Ada_Lovelace_(micro...

   NVENC AV1 hardware encoding with support for up to 8K resolution at 60FPS in 10-bit color is added, enabling higher video fidelity at lower bit rates compared to the H.264 and H.265 codecs. [20] Nvidia claims that its NVENC AV1 encoder featured in the Lovelace architecture is 40% more efficient than the H.264 encoder in the Ampere architecture ...