ModelRefs / Warm Pool — AI Glossary
Warm Pool — AI Glossary
A set of pre-initialized, idle inference workers held ready to handle requests without cold-start delay. This trades idle GPU cost against cold-start latency.
Overview
Inference providers maintain warm pools by keeping a minimum number of GPU replicas loaded with model weights. This trades idle GPU cost against cold-start latency. Most providers expose minimum replica settings. Warm pools are the standard approach for latency-sensitive production endpoints.
Reference details
| Topic | inference |
|---|---|
| Last reviewed | 2026-06-24 |
Related terms
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Frequently asked questions
What is Warm Pool?
A set of pre-initialized, idle inference workers held ready to handle requests without cold-start delay.
What concepts are related to Warm Pool?
Closely related concepts include cold start, serverless inference, gpu utilization.