LLMOPS & AI INFRASTRUCTURE • 304 / 397

Operate AI like production: serving, GPUs, latency, capacity, routing and reliability.

Prompt Cache

Prompt caching reuses computation or billing for repeated prompt prefixes when supported.

Think of it like

Think of Prompt 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 Prompt Cache to keep cost and latency under control.

SRE lens

Large shared instructions can benefit from cache hits.

Remember thisPrompt caching reuses computation or billing for repeated prompt prefixes when supported.

Next conceptSemantic Cache

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