LLMOPS & AI INFRASTRUCTURE • 305 / 397
Operate AI like production: serving, GPUs, latency, capacity, routing and reliability.
Semantic Cache
A semantic cache reuses an earlier response when a new request is sufficiently similar in meaning.
Think of it like
Think of Semantic Cache like familiar infrastructure capacity and traffic engineering, except the scarce resources are often tokens, GPU memory and model latency.
Real life
High-scale AI services depend on Semantic Cache to keep cost and latency under control.
SRE lens
Use carefully for stable FAQs, not volatile incident state.
Remember thisA semantic cache reuses an earlier response when a new request is sufficiently similar in meaning.