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AI図鑑

H100

大規模モデル訓練向けのHopper世代データセンターGPU

NVIDIA ハードウェア クローズド

本ページの本文は英語で提供されています。タイトルと導入は日本語化されています。

これは何か

H100 is a data-centre GPU NVIDIA announced in March 2022, based on the Hopper architecture. It carries 80GB of HBM3 memory, introduces fourth-generation tensor cores and a Transformer engine, and supports FP8 precision to raise throughput for large-model training and inference. Cards are linked by NVLink at 900 GB/s per GPU. H100 became one of the most widely used accelerators in large-model training clusters from 2022 to 2024.

なぜ覚えておく価値があるか

It baked large-model-specific features such as FP8 and the Transformer engine into hardware, becoming the default accelerator in large-model training clusters after 2022 and a symbol of compute as the industry’s bottleneck.

主な仕様

Architecture
Hopper
Memory
80GB HBM3
Process
4N (TSMC)
Interconnect
NVLink 900 GB/s
Released
2022-03

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