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Nvidia Hopper GPU slays predecessor in ML benchmarks

Nvidia has released performance data for its forthcoming Hopper generation of GPUs, and the initial benchmarks are tremendous.

The metrics are based on MLPerf Inference v2.1, an industry-standard benchmark that analyzes the performance of inferencing tasks using a machine-learning model against new data.

Nvidia claims its Hopper-based H100 Tensor Core GPUs delivered up to 4.5x greater performance than its previous A100 Ampere GPUs. (Read more about Hopper: Nvidia unveils a new GPU architecture designed for AI data centers) It’s a remarkable jump in just one generation. For comparison, CPU benchmarks often grow 5% to 10% from one generation to the next. 

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Source:: Network World – Data Center