Batch and machine learning workloads often have resource requirements that are not precisely known at Job creation time. The optimal resource allocation depends on current cluster capacity, queue priorities, and the availability of specialized hardware like GPUs. Before this feature, resource requirements in a Job's pod template were immutable once set. If a queue controller like Kueue determined that a suspended Job should run with different resources, the only option was to delete and recreate the Job, losing any associated metadata, status, or history. This feature also provides a way to le
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