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Last updated: October 12, 2026
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As LLM usage scales, companies care about latency, cost, and repeatability for repeated prompts and long contexts. Prompt caching strategy helps reduce inference spend and improve user experience in high-volume applications.
This is likely to remain relevant while large-context and high-throughput LLM applications are common. Over time it may merge into general LLM performance engineering and inference optimization.
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