Technology · LLMs → Serving · Open Source · wiki:stub
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SGLang is a fast serving framework with efficient structured generation and radix attention caching for high-throughput LLM apps. In this catalog, SGLang is treated as a first-class stack choice: read the primary sources and evidence table before wiring it into a corridor, and prefer measured fit over fashion when peers cover the same job. Prefer primary docs and the evidence rows on this page over secondary summaries when deciding adoption order.
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