H100 Tensor Core GPU leaves A100 in the dust, but company says previous gen has improved too
However, while the A100 products may no longer be Nvidia's hottest AI platform, the company said these have continued to show gains in performance thanks to continuous improvements in Nvidia's AI software. It claimed the MLPerf figures have advanced by 6x since the A100 was first listed in the results two years ago.edge computing platform, which integrates Arm cores with an Ampere architecture GPU.
MLCommons said this round of MLPerfTM Inference v2.1 figures established new benchmarks with about 5,300 performance results submitted and 2,400 power measures, both up from the last set of results published. Not surprisingly, Nvidia approves of MLPerf, saying companies participate in the tests because it is a valuable tool for vendors and customers evaluating AI platforms. Not everyone agrees it is the best way to measure machine learning performance, however.for machine learning training and inference tasks. The organization said it intended to come up with benchmarks that will better represent industry practices than existing benchmarks such as MLPerf.
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