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GPU Utilization Is Becoming the New Cloud Waste Crisis
Enterprises are now paying premium-market prices for infrastructure that spends most of its life waiting. The number that frames this era: average GPU utilization across enterprise Kubernetes clusters sits at 5%, according to Cast AI’s 2026 State of Kubernetes Optimization Report — drawn from measured production telemetry across 23,000 clusters, not a survey. That figure…
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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…
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Your AI Cluster Is Idle 95% of the Time
Your gpu utilization dashboard reads 40%. The cluster is healthy. The GPUs are loaded. Work is happening. Except it isn’t. That 40% gpu utilization figure is a peak average across a monitoring window. What it doesn’t show is the seven minutes before that spike when every GPU in the cluster was resident in memory, warm,…
