AI Is redefining what enterprises expect from data centers

AI Briefing

• – AI workloads are breaking old data center assumptions, shifting from steady-state planning to managing bursty, high-density GPU workloads.
• – The data center is becoming an active execution environment, where models ingest live data, call external APIs, trigger workflows and increasingly feed directly into operational systems.
• – Infrastructure teams must design for governability, including prompt and model version control, change management, unified observability, and immediate rollback or kill-switch capabilities.