Vertiv has introduced Next Predict, an AI-powered managed service that replaces traditional scheduled and reactive maintenance with continuous, algorithm-driven monitoring across data center power, cooling, and IT systems. The announcement positions Next Predict as a step-change from the time-based maintenance cycles that still dominate most facilities — where equipment gets serviced on a calendar schedule regardless of actual condition — toward a model where AI flags developing issues before they become failures.
The service uses AI-based anomaly detection, predictive algorithms, and automated root cause analysis to identify abnormal patterns in equipment behavior. Critically, it doesn’t just surface alerts — Vertiv says the platform generates prescriptive actions that are then executed by Vertiv’s own services team. That managed-service wrapper is what differentiates Next Predict from standalone monitoring tools that leave interpretation and response to the customer’s already-stretched operations staff. Coverage spans power infrastructure, cooling systems, IT hardware, battery energy storage systems (BESS), and liquid cooling — Vertiv calls this a grid-to-chip service architecture, covering the full chain from utility power intake to the compute load.
The platform is designed to scale with future technology as data center infrastructure continues to evolve. Vertiv has been deliberate about including BESS and liquid cooling in the supported scope — two categories that are rapidly expanding in AI-focused facilities but that legacy monitoring platforms often don’t cover well. The AI factory framing in the announcement reflects the company’s ongoing push to position its entire infrastructure portfolio around the demands of large-scale AI compute deployments.
Why It Matters
Unplanned downtime in a data center or AI training facility is extraordinarily expensive — and the complexity of modern infrastructure, with tightly coupled power, cooling, and compute systems, makes failures harder to anticipate with simple threshold alerts. An AI service that continuously models equipment behavior across the full stack and dispatches trained engineers to act on predictions — rather than waiting for a fault alarm — is a meaningful operational shift. Whether Next Predict delivers on that promise in practice will depend on the quality of its training data and the responsiveness of Vertiv’s services organization, but the direction is clearly where the industry is heading.
Vertiv is a global provider of critical digital infrastructure and continuity solutions, serving data centers, communication networks, and commercial and industrial environments worldwide.
