GPU Utilization Lies About AI System Health

Average GPU utilization masks hidden infrastructure failures that slow modern AI workloads. A degraded RAID rebuild on three nodes caused a 60% inference latency spike while dashboards showed healthy GPU metrics. The scheduler kept those nodes active, wasting cloud spend on autoscaling that never fixed the real storage bottleneck.