Why AI Broke the Data Center
For two decades, the data center was a solved problem. Then large-model training arrived and invalidated every assumption that held the industry together.

Hyperscale campuses, reliability tiers, colocation and the buildout that is quietly reshaping the power grid.
This section is depth 04 — campus of the descent, expanded · 5 articles
For two decades, the data center was a solved problem. Then large-model training arrived and invalidated every assumption that held the industry together.

The new generation of AI data centers isn't measured in server rooms — it's measured in geography.

The number printed on an SLA tells you less than you think — and AI is rewriting the trade-off anyway.

A single hardware failure at one BB&T facility knocked out ATMs, online banking and mobile access for millions of customers — a reminder that resilience is not optional at scale.

A Chicago-area web host opens its third Austin facility — and the spec sheet reveals what enterprise-grade colocation actually requires.
