What should teams inspect before changing a shared GPU scheduler?
Start with allocation rules, queue priorities, isolation requirements and the consequences of preemption. Map those policies to the jobs people actually submit. A scheduler should make contention understandable and recoverable; an attractive utilization figure alone cannot show whether important work finishes reliably or whether one team bears the waiting cost.
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NVIDIA Opens Run:ai—and Moves the AI Fight Into the SchedulerRun:ai’s open-source release puts GPU allocation tools in public view, while hardware independence and operational results remain to be tested.
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