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radixattention

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This is a state‑of‑the‑art infrastructure that solves one of the most critical scalability bottlenecks in production LLM serving: distributed KV‑cache fragmentation. By extending SGLang's RadixAttention concept to a cluster‑aware, shared‑nothing topology, it transforms a set of independent vLLM workers into a cache‑conscious serving fabric.

  • Updated Jul 11, 2026
  • Python

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