Vertiv just rolled out an AI service that tries to predict data center failures before they happen, aiming to kill calendar-based maintenance for good.
What got announced
What got announced
- Vertiv launched Vertiv Next Predict.
- Service uses AI to manage infrastructure health.
- Focus stays on data centers running heavy AI loads.
- Traditional maintenance reacts late or follows schedules.
- Modern facilities lack real-time visibility.
- AI workloads push systems harder than before.
- AI watches equipment behavior nonstop.
- Anomaly detection flags weird patterns early.
- Risk scoring ranks issues by potential impact.
- Root cause analysis narrows fixes fast.
- Prescriptive actions get defined automatically.
- Context matters, not generic playbooks.
- Vertiv Services staff execute corrective work.
- Power systems are supported.
- Cooling platforms are part of the mix.
- Battery energy storage gets coverage.
- Liquid cooling components are included.
- Shift moves maintenance off calendars.
- Decisions rely on data, not assumptions.
- Uptime protection is the main pitch.
- Ryan Jarvis says compute intensity keeps rising.
- Proactive risk mitigation beats reactive fixes.
- Continuous monitoring replaces guesswork.
- Service is built to scale.
- New data center tech can slot in later.
- Grid-to-chip architecture stays the long-term vision.
- Global technician network backs the service.
- Decades of infrastructure experience apply.
- AI analytics sit on top of that foundation.