Although Nvidia A100 and H100 GPU chips are the dominant chips in the AI field at this stage, Tesla's self-developed AI training and inference chips may reduce its dependence on traditional chip ...

To feed its massive computational throughput, the NVIDIA A100 GPU has 40 GB of high-speed HBM2 memory with a class-leading 1.6 TB/sec of memory bandwidth – a 73% increase compared to Tesla V100.

Tesla's In-House Supercomputer Taps NVIDIA A100 GPUs For 1.8 ExaFLOPs Of Performance by Paul Lilly — Tuesday, June 22, 2021, 02:30 PM EDT Comments ...

We should expect somewhere betweewn 8 to 16x GA100s used on the DGX A100, since the DGX-2 packed a huge 16x Tesla V100 GPUs. Check these truly monsterous specs on NVIDIA's new GeForce RTX 3080 Ti ...

The Tesla name was dropped to avoid confusion with the electric car company, and subsequent chips were branded with letters and digits (see A100 and H100). THIS DEFINITION IS FOR PERSONAL USE ONLY.

Normally we'd see NVIDIA dub it the Tesla A100 -- just like the Volta-based Tesla V100, but nope -- now we might know why.

Turns out that Huang was cooking eight A100 GPUs, two Epyc 7742 64-core CPUs, nine Mellanox interconnects, and assorted oddments like RAM and SSDs. Mmmm, just like Grandma used to make. Nvidia ...

Much like how Nvidia used its previous Volta architecture to create the Tesla V100 and DGX systems, a new DGX A100 AI system combines eight of these A100 GPUs into a single giant GPU.