Why it matters

H100 is the current default for serious AI. Understanding shapes cost + capability planning.

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The architecture

SMs: 132. HBM3: 80GB, 3TB/s.

Tensor cores: 4th gen with FP8 support.

NVLink: 900 GB/s.

H100 key specsTensor coresFP8 + BF16 + FP16HBM380 GB, 3 TB/sNVLink 4900 GB/sTransformer engine adaptively mixes FP8 and BF16 for training stability + speed
H100 architecture.
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How it works end to end

Transformer engine: automatic FP8 mixed precision for training. Faster than FP16 at similar quality.

Confidential computing: encrypted GPU memory. Enables sensitive workloads.

DPX instructions: dynamic programming acceleration.

MIG: up to 7 partitions.