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2. 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.

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. Tesla, Nvidia, or something else? How should a passive ...

   www.aol.com/30k-invest-m-trying-decide-231218313...

   Undoubtedly, Tesla and Nvidia stand out as the pricier (but also growthier) of the Magnificent Seven. And while the two names have a lot going for them in the latter half of the decade, I must say ...

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. 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. It also just so happens that Tesla’s FSD is powered by Nvidia chips.

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 ...

8. 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]

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

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

   (Reuters) -Tesla will likely spend between $3 billion and $4 billion on its purchases of chip company Nvidia's hardware this year, CEO Elon Musk said in a post on X on Tuesday.