You Got the GPUs. Now What?

This article argues that the biggest inefficiencies in AI infrastructure are not caused solely by hardware shortages, but by organizational and scheduling failures. It identifies three key fracture points: lack of visibility across teams, rigid allocation models that don’t match workload cycles, and poor coordination leading to job contention and preemption. The key takeaway is that improving utilization requires better organizational systems, not just more GPUs.