How large is the H100 vs A100 gap in large-model training?

In large-model training, NVIDIA H100 holds a clear advantage: the Transformer Engine speeds training 2–3x, FP8 precision accelerates further while maintaining accuracy, and memory bandwidth rises from 2 TB/s to 3.35 TB/s. Training a 70B-parameter model, an H100 8-GPU cluster can cut the cycle from months to weeks; in inference, H100 delivers roughly 2x throughput. ZhongLianDa keeps H100 in stock and can set up a test environment so you can verify the difference yourself.