A Look at 5 LLM Inference Engines: vLLM and SGLang Lead the Pack

The author surveys 5 LLM inference engines, explaining that engines determine generation speed, hardware utilization, concurrency and serving cost. Highlights include vLLM, a high-throughput serving engine with 96.1k GitHub stars built on PagedAttention, and SGLang, whose RadixAttention and prefix caching accelerate agentic workflows and long prompts.

2026-11-02 ~ 2026-11-02 · 3 related posts

• vLLM explained: how PagedAttention and continuous batching power high-throughput LLM serving — goyalshaliniuk · 2026-11-02
• 5 Inference Engines Powering Modern AI: vLLM, SGLang, TensorRT-LLM, llama.cpp, MLX — goyalshaliniuk · 2026-11-02
• SGLang: RadixAttention and Prefix Caching for Agentic LLM Serving — goyalshaliniuk · 2026-11-02