Scheduling, node pools and multi-tenancy for GPUs
Designing GPU node pools, priority classes and preemption, headroom with pause pods, quotas and LimitRanges, namespaces per team, batch queueing with Kueue, fragmentation, cluster autoscaling for GPUs and cost attribution.
16 min·Verified 2026-11Pro+50 XP
A cluster with one team and one model schedules itself. A cluster with five teams, two GPU types, online serving and batch jobs needs policy, or the most expensive hardware in the building ends up idle on one side while pods starve on the other.
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