Learn how prompt caching speeds up OSS LLM inference on Databricks, and delivers secure, automatic performance gains.
JUNE 15–18|SAN FRANCISCO
Join us at the world’s largest data, apps and AI event.
Faster, secure OSS LLM inference with prompt caching.
by Pei-Lun Liao, Asfandyar Qureshi, Roshan Regula, Bruce Fontaine, James Thomas and Chenyang Yu
Large language model (LLM) inference often involves repeated prompts—think of the same system or instruction prompt appearing in thousands of requests. Reprocessing that identical prefix for every call wastes compute cycles, inflates latency, and increases costs.
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