Overview of vLLM features
vLLM is an open-source inference engine for Large Language Models (LLMs) designed for high-throughput production environments. Key technical features include:
- Continuous Batching: Processes multiple requests in a single GPU forward pass to increase throughput.
- PagedAttention: Optimizes KV cache memory management to reduce fragmentation.
- OpenAI-compatible API: Provides a drop-in replacement endpoint for easy integration.
- Quantization Support: Supports INT8 and INT4 to reduce VRAM requirements.