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大模型推理框架，SGLang和vLLM有哪些区别？ vLLM全称Vectorized Large Language Model Inference（向量化大型语言模型推理），简单说就是个专为大模型推理和服务的高性能库。它在速度、效率和易用性上做了优化，所以很多人部署DeepSeek、Qwen、Llama这些模型会选它。 vLLM的设计重点在于：一是 省内存、高吞吐， 特别是在请求同步进行时，让模型推理更省