Ant Ling· 17 DecThe Community Stories of vLLM and SGLang
Community and technical comparison of two open-source LLM inference engines
Ant Ling's article compares the open-source LLM inference engines vLLM and SGLang, noting that vLLM handled up to 5× the traffic and boosted throughput by as much as 30× compared with a 
Hugging Face Transformers–based backend.
SGLang extends vLLM's PagedAttention with RadixAttention to preserve and reuse KV cache across requests.
The article also details the projects' origins at UC Berkeley, their community metrics, and key milestones through 2025.
