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vllm-server

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Deploy and manage vLLM for high-throughput LLM inference. Configure continuous batching, tensor parallelism, quantization, and OpenAI-compatible API endpoints for production LLM serving.

infrastructure/local-ai/vllm-server/SKILL.md

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# vLLM Server Management

Deploy production-grade LLM inference servers with vLLM — the fastest open-source LLM serving engine with PagedAttention and continuous batching.

## When to Use This Skill

Use this skill when:
- Serving open-source LLMs (Llama, Mistral, Qwen, Gemma) at scale
- Building an OpenAI-compatible API endpoint for self-hosted models
- Optimizing LLM throughput and latency for production traffic
- Running multi-GPU inference with tensor or pipeline parallelism
- Deploying quantized models to reduce GPU memory requirements

## Prerequisites