MLOps & Infrastructure · intermediate · concept 211 of 311 · Updated Nov 4, 2026
Prompt Caching
Prompt caching reuses the work a model already did on the start of a prompt, so repeated instructions and documents cost less and return faster. It works only when the repeated part comes first and stays identical, so prompt order becomes an engineering decision. For agents that resend long context on every step, it can be the largest single saving available.
Top AI contributors on this
- Jensen HuangNvidia
- Jeff DeanDiscovery Loop
- Clément DelangueHugging Face
- Satya NadellaMicrosoft
- Sundar PichaiAlphabet / Google
- Alexandr WangMeta
Key terms
Cache hitPrompt prefixTime to liveToken costLatency
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Where you meet it in the real world
Long-running agents, chat over large documents, repeated system prompts
Guides and articles
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