vLLM Has a Free API — The Fastest Open-Source LLM Inference Engine

vLLM is the fastest open-source LLM inference engine , achieving 2-24x higher throughput than HuggingFace Transformers. It uses PagedAttention for efficient memory management and powers inference at companies like Anyscale, Mistral, and Databricks. Free, open source, with a built-in OpenAI-compatible API server . Why Use vLLM? Fastest throughput — PagedAttention + continuous batching OpenAI-compatible — drop-in replacement for OpenAI API Any HF model — Llama, Mistral, Qwen, Phi, Gemma, and more Multi-GPU — tensor parallelism across GPUs Structured output — JSON schema enforcement Speculative decoding — even faster with draft models Quick Setup 1. Install pip install vllm # Or Docker docker run --gpus all -p 8000:8000 \ vllm/vllm-openai:latest \ --model mistralai/Mistral-7B-Instruct-v0.3 2. Start API Server vllm serve mistralai/Mistral-7B-Instruct-v0.3 \ --host 0.0.0.0 --port 8000 \ --max-model-len 8192 # With multiple GPUs vllm serve meta-llama/Meta-Llama-3.1-70B-Instruct \ --tensor-pa