AI workloads are transforming how power flows through data centers—and exposing cracks in how we detect and diagnose faults.
From unpredictable load profiles to increased harmonics and denser racks, electrical infrastructure is under growing pressure. But many fault detection systems still operate under yesterday’s assumptions: steady loads, basic thresholds, and isolated alerts.
The result? Hidden risks, missed early warnings, and slow time to resolution.
Our new white paper, Power Under Pressure: Rethinking Fault Detection in the Age of AI, explores why traditional FDD tools fall short—and what data center operators should be thinking about instead.
Inside the paper:
- What’s changing in power infrastructure due to AI
- Where traditional FDD solutions fail—especially in diagnosis and context
- A framework for modern electrical visibility and resilience
- A 10-question checklist to audit your current approach
