Enterprise Playbooks

The data center industry is fracturing into two distinct asset classes with fundamentally different power architectures, cooling requirements, and capital profiles. For enterprises deciding between build, buy, lease, or sell, treating these as interchangeable infrastructure is a strategic error. The classification decision you make today shapes your infrastructure cost structure for the next decade.

If you are sourcing AI-ready capacity in 2026, your primary constraint is no longer real estate or capex. It is power that can be delivered on time, at a predictable cost, under a rate structure you can live with.

Traditional colocation procurement won’t work for AI workloads. Here’s how to build a strategy that accounts for density, power, and growth.

National vacancy figures mask dramatic regional variation. Here’s what the data actually shows — and what it means for capacity planning.

Key considerations for GPU clusters, liquid cooling requirements, and power density when evaluating data center providers for AI infrastructure.

Technical requirements, cooling considerations, and provider capabilities for high-density deployments.