Prefix Cache
An inference optimization technique for large language models that caches the key-value computation results of fixed prefixes—such as system prompts—during multi-turn conversations. Subsequent requests reuse these cached results to reduce redundant computation, lower latency, and decrease inference cost.
Timeline (last 90 days)
SGLang v0.5.21 switched the core implementation of prefix caching to Rust and set it as the default backend.
Prefix Cache optimization refers to the API server's ability to cache the KV computation results of an unchanged system prompt prefix across multi-turn conversations for reuse by subsequent requests, reducing redundant computation and lowering latency and token costs.
Prefix Cache searches by token prefix and stops at the first position where there is a mismatch.
All Facts (3)
SGLang v0.5.21 switched the core implementation of prefix caching to Rust and set it as the default backend.
50%UnverifiedPrefix Cache optimization refers to the API server's ability to cache the KV computation results of an unchanged system prompt prefix across multi-turn conversations for reuse by subsequent requests, reducing redundant computation and lowering latency and token costs.
50%UnverifiedPrefix Cache searches by token prefix and stops at the first position where there is a mismatch.
50%