// Karmada v1.19 can place a whole PyTorchJob, master and workers, into one member cluster. Four kind clusters with fake GPUs show the four conditions it needs, and what happens without each one: the job runs three times, the scheduler finds no room with 16 free GPUs, and a job lands where its workers can never start.
posts tagged #Scheduling
// KEP-4671 landed gang scheduling in Kubernetes 1.37 beta, behind a feature gate that is off by default. A four-node Kind cluster with six fake DRA GPUs shows the partial-placement deadlock, the single field that fixes it, and the two limits nobody documents: the Job field is pruned silently without a second alpha gate, and workload-aware preemption cannot reclaim DRA devices.