vllm

What problem does it solve?

vLLM enables high-throughput, memory-efficient LLM inference on GPUs, enabling scalable deployment of large models with advanced memory management techniques such as PagedAttention.

Core Features & Use Cases

• High-throughput inference with configurable tensor and pipeline parallelism, multi-GPU deployment, and efficient KV cache management.
• OpenAI-compatible API support for chat, completions, and embeddings, with optional LoRA adapters, speculative decoding, and structured outputs.
• Use cases include production model serving, experimentation, and benchmarking in cloud-native environments.

Quick Start

Start the server with vllm serve using your model ID to begin HTTP API access.