Senior Analyst, AI & Quantum Computing, Paul Smith-Goodson, dives in as the technical community has been looking forward to seeing how NVIDIA’s monster Hopper H100 Tensor Core GPU would perform ever since its March announcement at GTC2022.
In the Data Center category, the NVIDIA H100 Tensor Core GPU delivered the highest per-accelerator performance across every workload for both the Server and Offline tests. It had up to 4.5x more performance in the Offline scenario and up to 3.9x more in the Server scenario than the A100 Tensor Core GPU.
Those improvements, plus advanced Hopper software algorithms, speeds up AI performance and capabilities and allow it to train models within days or hours instead of months. The faster a model becomes operational, the earlier its ROI returns begin, and operational improvements can be implemented.Although the H100 is the latest GPU generation, a check of MLPerf v2.
It has had continued improvements. Since the A100 made its first appearance in the July 2020 MLPerf results, NVIDIA has increased its performance by 6X.
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