Unverified50% confidenceFactExact time
量化推理从FP16降至FP8可将显存需求减半，从FP8降至FP4可进一步减半
1
Sources
50%
Confidence
Long-term
Relevance
7/8/2026
First Seen
Sources
AMD MI355X运行GLM5.2：推理成本仅为英伟达Blackwell的一半
hackernewshackernews7/3/2026
Related Claims
UnverifiedFP8相比FP16能将显存占用再减少约50%79% similarUnverified从BF16到FP8，内存占用减半，但数值表示精度大幅下降76% similarUnverified将FP32权重降至INT8后，典型Transformer模型基准测试分数下降通常不超过1%，推理速度提升2至4倍，内存占用减少75%73% similarVerifiedINT4 quantization compresses neural network weights from FP32 to a 4-bit integer representation, reducing model size by approximately 8 times.72% similarVerified量化技术可将模型体积压缩50%-75%，在损失极小精度前提下降低显存占用70% similar
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