SGLang: The Open-Weight AI Inference Engine Built for Prefix Reuse — Day 12/30
This story is from 2026-09-01. It is preserved in the archive; the latest stories are on the live feed.
TL;DR — SGLang is a challenger inference engine to vLLmm that caches KV cache at the token level using a radix tree, called RadixAttention, giving huge speedups for agent loops, RAG, and chat workloads with repeated prefixes. It also compiles JSON schemas into finite-state machines for jump-forward…
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- 2026-09-01 13:16 · DEV Community — AI
SGLang: The Open-Weight AI Inference Engine Built for Prefix Reuse — Day 12/30