vLLM for Production Inference — Maximum Throughput from Open-Source LLMs

Self-hosting LLMs is economically attractive, but inference must be efficient. vLLM with PagedAttention offers 2-4x higher throughput.

PagedAttention¶

Manages KV cache like virtual memory — dynamic page allocation. More efficient GPU memory, more concurrent requests.

Benchmarks¶

• Mistral 7B on A100: 2.5x throughput vs HuggingFace
• Mixtral 8x7B on 2xA100: 80+ tokens/sec
• Llama 70B on 4xA100: 25+ tokens/sec, 100+ concurrent

Alternatives¶

TensorRT-LLM: Fastest on NVIDIA, vendor lock-in. TGI: HuggingFace integration. Ollama: Development, not high-throughput.

vLLM Is the Default for LLM Serving¶

PagedAttention, continuous batching, OpenAI-compatible API. Production-ready.