SGLang: RadixAttention and Prefix Caching for Agentic LLM Serving
goyalshaliniuk · x · 2026-11-02
Part 2 of an inference-engine series covers SGLang, a fast and efficient LLM serving framework that uses RadixAttention and prefix caching to reuse shared context, making it particularly useful for agentic workflows, long prompts, and structured generation. The Apache-2.0 project has 38.4k stars on GitHub.
Related event: A Look at 5 LLM Inference Engines: vLLM and SGLang Lead the Pack(3 posts)→
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