Model Serving & Inference · Established · Advanced
vLLM Serving Engine
Also known as: vLLM Framework
A high-throughput LLM serving engine powered by PagedAttention for optimal KV-cache management.
What vLLM Serving Engine is
vLLM is an open-source inference engine optimized for production server deployments requiring maximum token output per second.
How it works
Uses PagedAttention to partition key-value memory into virtual blocks, eliminating memory fragmentation and maximizing batch sizes.
Why it matters
Reduces hosting costs and latency for enterprise AI applications by multiplying concurrency rates.
Common uses
- →Production LLM deployment
- →High-concurrency streaming APIs
- →Multi-GPU inference server
More in this collection
Browse all AI Technology