Unverified50% confidenceFactExact time
The H100 natively supports fp8 matrix multiplication, which can theoretically double computational throughput once more.
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50%
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Long-term
Relevance
9/12/2026
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Unverified现代GPU如NVIDIA H100、H800原生支持FP8计算，理论上可实现约2倍吞吐量提升77% similarUnverifiedThe theoretical inference throughput of the NVIDIA H100 and H800 at FP8 precision is 3–4 times higher than that of the A100.73% similarUnverifiedThe H100's fourth-generation Tensor Core natively supports FP8, with a peak compute of 3958 TFLOPS, which is twice that of FP16.72% similarUnverified该模型要在全精度下运行需要几张H10066% similarUnverifiedFP8量化将模型权重从FP16压缩为8位浮点表示，在NVIDIA Hopper架构（H100/H200）上可获得原生加速，且相比INT8对精度损失更小65% similar
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