vLLM - High-Performance LLM Serving When to use Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible endpoints, quantization (GPTQ/AWQ/FP8), and tensor parallelism. Quick start vLLM achieves 24x higher throughput than standard transformers through PagedAttention (block-based KV cache) and continuous batching (mixing prefill/decode requests). Installation : Basic offline inference : OpenAI-compatible server : Common workflows Workflow 1: Production API deployment Copy this checklist and track prog…