Unverified50% confidenceFactExact time
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
1
Sources
50%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
Related Claims
UnverifiedNVIDIA's H100 GPU natively supports the FP8 format, with throughput approximately 2× that of FP16.79% 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 GPU is based on the Hopper architecture; its Transformer Engine can dynamically switch between FP8 and FP16 precision, boosting throughput to approximately 2–3 times that of the A100.73% similarUnverifiedConverting from FP32 to FP16 can achieve a 2–4x throughput improvement on the Tensor Cores of modern GPUs.71% similarUnverifiedNVIDIA's GB300 Blackwell Ultra GPU integrates two GPU chips and one Grace CPU, interconnected via NVLink-C2C, with memory bandwidth exceeding 8 TB/s and inference performance 4 to 5 times higher than the H100.70% similar
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