Unverified50% confidenceBenchmarkExact time
英伟达H100、H800在FP8精度下的理论推理吞吐相比A100提升了3-4倍
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/7/2026
First Seen
Valid until: 10/5/2026
Sources
GLM 5.2来袭：AI利润率崩塌前夜的产业变局
hackernewshackernews7/6/2026
Related Claims
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73% similarUnverifiedNVIDIA从A100到H100再到B100的迭代周期约两年，每代FP8混合精度算力提升约3-4倍72% similarUnverifiedH100的第四代Tensor Core原生支持FP8，峰值算力达3958 TFLOPS，是FP16的两倍72% similarUnverifiedNVIDIA H100芯片的FP8训练吞吐量相较上一代A100提升了近6倍70% similarUnverified该模型要在全精度下运行需要几张H10070% similar
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