VLLM: Easy, Fast, and Cheap LLM Serving with PagedAttention
10 months ago
- #PagedAttention
- #LLM
- #AI Serving
- vLLM is an open-source library for fast LLM inference and serving, utilizing PagedAttention for efficient memory management.
- PagedAttention improves memory usage by partitioning KV cache into blocks, reducing waste to under 4% and enabling up to 24x higher throughput compared to HuggingFace Transformers.
- Memory sharing in PagedAttention reduces overhead for complex sampling algorithms, improving throughput by up to 2.2x.
- vLLM has been deployed in Chatbot Arena and Vicuna Demo, handling up to 60K peak requests daily and reducing operational costs by 50%.
- Easy to install and use, vLLM supports both offline inference and online serving with an OpenAI API-compatible interface.