Unverified50% confidenceFactExact time
RadixAttention prefix caching builds the prompts of multiple requests into a radix tree, so identical prefixes compute the KV cache only once and subsequent requests can reuse it directly.
1
Sources
50%
Confidence
Long-term
Relevance
10/27/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedRadixAttention can identify prefix segments shared across different requests and directly reuse cached computation results, reducing redundant computation in scenarios with fixed system prompts, multi-turn conversations, or batch document Q&A, thereby improving throughput and reducing time-to-first-token (TTFT).78% similarVerifiedSGLang's RadixAttention technology can automatically reuse KV Cache across multiple requests, managing shared prefixes through a radix tree structure to reduce redundant computation.76% similarUnverifiedTypical scenarios that benefit from prefix caching include multi-turn conversations sharing the same system prompt, repeated document contexts in RAG, and stable codebase prefixes in code completion.73% similarVerifiedThe core principle of prompt caching is cross-request reuse of the KV Cache, where already-computed KV states can be cached and reused when multiple requests share the same prefix.72% similarVerifiedPrompt caching saves the KV state of reusable prefixes (the tokens at the beginning of a prompt that remain unchanged); if the next request starts with an identical prefix, the provider reuses the saved computation and only processes the new portion.68% similar
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