vLLM Has a Free API — Serve LLMs 24x Faster

vLLM is a high-throughput LLM serving engine. It serves models 24x faster than Hugging Face Transformers with PagedAttention and continuous batching. What Is vLLM? vLLM is an open-source library for fast LLM inference and serving. It uses PagedAttention to efficiently manage GPU memory. Features: 24x higher throughput than HF Transformers OpenAI-compatible API PagedAttention for memory efficiency Continuous batching Tensor/pipeline parallelism LoRA support Quick Start pip install vllm # Start server vllm serve meta-llama/Llama-3.2-3B-Instruct --port 8000 OpenAI-Compatible API # Chat completion curl http://localhost:8000/v1/chat/completions \ -H "Content-Type: application/json" \ -d '{"model":"meta-llama/Llama-3.2-3B-Instruct","messages":[{"role":"user","content":"What is Docker?"}]}' # Completions curl http://localhost:8000/v1/completions \ -d '{"model":"meta-llama/Llama-3.2-3B-Instruct","prompt":"Python is","max_tokens":50}' Use with OpenAI SDK from openai import OpenAI client = OpenA