Synthèse
vLLM is a high-performance, open source inference engine for large language models. It is designed for serving many concurrent requests efficiently in a cluster environment. An important characteristic of vLLM for this use case is that it exposes an OpenAI-compatible REST API. Anything that already talks to the OpenAI API (LangChain, LlamaIndex, or your own code that calls the OpenAI SDK) can be pointed at a self-hosted vLLM instance with nothing more than a URL change. That compatibility is wha
vLLM is a high-performance, open source inference engine for large language models. It is designed for serving many concurrent requests efficiently in a cluster environment. An important characteristic of vLLM for this use case is that it exposes an OpenAI-compatible REST API. Anything that already talks to the OpenAI API (LangChain, LlamaIndex, or your own code that calls the OpenAI SDK) can be pointed at a self-hosted vLLM instance with nothing more than a URL change. That compatibility is what makes the hybrid architecture described earlier a viable alternative.