GPU Scheduling in Kubernetes: Start Before the Scheduler

Most teams think GPU scheduling starts with the scheduler. It starts with demand modeling. By the time Volcano, Kueue, or KEDA enters the conversation, the expensive mistake has usually already been made. The cluster was provisioned against a theoretical peak that rarely materializes. The demand curve was never drawn. The concurrency profile was assumed rather than measured. The core argument: GPU scheduling is not a capacity solution. It is a capacity enforcement layer. If you provisioned again