AMD can likely fill the gap the fastest, with its MI300X parts that most closely resemble the A100 and H100 products in terms of performance, power, and architecture.

Last fall, Nvidia said in an SEC filing that the U.S. government imposed a license requirement barring the export of the A100 and the H100 to China, Hong Kong, and Russia.

Nvidia claims that because the benchmark uses a portion of the complete GPT-3 data set, by extrapolation, Eos could now train in just eight days or 73x faster than a system using 512 A100 GPUs ...

At its GTC conference, NVIDIA's big bet on AI hardware is more relevant than ever. ... (That helps deliver 12-times faster GPT3 inference performance compared to the A100, according to NVIDIA.) ...

A few years back NVIDIA created a dedicated cryptocurrency mining GPU, the CMP 170HX. This was a heavily restricted version of its flagship A100 datacenter accelerator, using the same GA100 chip ...

Meanwhile, Nvidia's software suite, Nvidia AI Enterprise, is certified and supported on Microsoft Azure instances with A100 GPUs. Support for Azure instances with H100 GPUs will be added in a ...

AMD can likely fill the gap the fastest, with its MI300X parts that most closely resemble the A100 and H100 products in terms of performance, power, and architecture.