Did you know that 95% of GPU capacity in AI workflows sits idle, wasting billions in capital expenditure? This silent crisis stems from static partitioning, poor governance, and lack of real-time visibility. Discover why these inefficiencies persist, how they drain your budget, and practical strategies to reclaim idle clusters. Transform your AI infrastructure into a high-performance, cost-efficient powerhouse with actionable insights on workload classification, coexistence rules, and real-time utilization feedback.