vLLM

Overview

vLLM is a high-throughput inference engine designed for serving Large Language Models in production with exceptional performance through PagedAttention.

Official Website: https://vllm.ai Documentation: https://docs.vllm.ai

Key Features

• PagedAttention — Efficient memory management
• High Throughput — 10-20x faster than traditional serving
• OpenAI-Compatible — Drop-in API compatibility
• Multi-GPU — Tensor and pipeline parallelism
• Any HuggingFace Model — Serve any compatible model

Usage Example

# Start vLLM server
vllm serve model-name

# Use via API
curl http://localhost:8000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "model-id",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Available Models

vLLM supports any HuggingFace model. Specify the model ID when starting the server.

Official Resources

• vLLM Website
• Documentation
• GitHub