AI Infrastructure Broke Traditional Capacity Planning

Effective AI capacity planning requires moving beyond traditional playbooks designed for uniform workloads. The core challenges include the heterogeneous nature of AI tasks, non-linear demand step-functions when scaling models, and hardware-specific requirements with long lead times.