How does caching strategy beyond KV-cache improve ChatGPT system efficiency?

Beyond KV-cache, systems use semantic caching, prefix caching, and embedding cache reuse to reduce redundant computation.

While KV-cache optimizes token-level reuse, advanced ChatGPT systems also implement higher-level caching strategies. Prefix caching reuses computation for identical or similar prompt prefixes. Semantic caching stores responses for semantically similar queries using embeddings. Embedding cache reuse avoids recomputing vector representations for repeated inputs.

These strategies reduce redundant computation across requests, significantly improving throughput and lowering cost in high-scale deployments.…