vLLM: Fast, OpenAI-Compatible Serving
~12 min read
vLLM is a fast, production-grade inference and serving library — run models like DeepSeek locally in an OpenAI-compatible format with just a few lines of code, built for throughput rather than casual chat.
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Key points
- •vLLM is a fast, production-grade inference and serving library, not just a casual local-chat tool like Ollama or LM Studio
- •Run models like DeepSeek locally in an OpenAI-compatible format with just a few lines of code
- •OpenAI-compatible means existing OpenAI-SDK application code can point at it with essentially no changes
- •Its core differentiator is serving-specific throughput optimizations (efficient KV cache management, continuous batching)
- •The right choice when you need to actually SERVE a model to multiple clients or at real request volume, not just chat interactively