CONCEPT Cited by 1 source

Hot cluster reuse

Definition

Hot cluster reuse is the practice of keeping compute clusters (CPU or GPU) active and pre-provisioned between workflow runs, rather than spinning up fresh clusters for each execution. This eliminates provisioning latency — which can range from seconds to minutes depending on cluster type — during rapid iterative development.

The trade-off is cost vs. latency: idle clusters consume resources, but the productivity gain from instant starts during iterative experimentation often justifies the cost for active ML teams.

Seen In

• sources/2026-06-10-atlassian-architecting-scalable-ml-platforms — ML Studio workflows can run on hot clusters that remain active between runs, eliminating wait time for cluster provisioning during rapid iteration

(Source: sources/2026-06-10-atlassian-architecting-scalable-ml-platforms)