Unverified80% confidenceFactTime unknown
vLLM的吞吐量相比HuggingFace原生推理提升了2-24倍
1
Sources
80%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
awesome-LLM-resources:8000+ Star的大语言模型学习资源库
githubWangRongsheng
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Unverified在发布基准测试中,vLLM相比HuggingFace Transformers原生推理实现了高达24倍的吞吐提升82% similarUnverifiedvLLM 相比原生推理可提升 20 倍以上的吞吐量77% similarUnverifiedvLLM 实测吞吐量相比朴素实现可提升 2-4 倍77% similarUnverifiedPagedAttention可将GPU显存利用率从通常的20%-40%提升至接近理论上限,吞吐量相比原生HuggingFace推理提升数倍至十余倍67% similarUnverifiedShopify微调后的Qwen-32B模型速度提升2.2倍,成本降低60%,性能超过了闭源大模型62% similar
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