Vertiv has introduced a new AI-driven predictive maintenance service aimed squarely at the operational challenges of modern data centers running high-density and AI workloads. The company announced the launch of Vertiv Next Predict this week, positioning the managed service as a shift away from traditional calendar-based maintenance toward continuous, data-led operational intelligence.
The move reflects growing pressure on operators worldwide to maintain uptime as AI-driven compute intensity pushes infrastructure closer to its physical limits.
Developed by Vertiv, a global provider of critical digital infrastructure and continuity solutions, the new service is designed to help enterprises, colocation providers, and hyperscale operators anticipate failures before they occur. The timing is deliberate: as AI accelerators, liquid cooling systems, and battery-backed power architectures proliferate, even minor infrastructure disruptions can have outsized business impact. Vertiv Next Predict aims to address that risk by monitoring asset behavior in real time and identifying emerging anomalies long before they translate into downtime.
At its core, the service uses AI-based anomaly detection to establish normal operating patterns across power, cooling, and IT infrastructure systems. Deviations from expected behavior are flagged early, triggering predictive algorithms that assess potential operational impact and rank risks by urgency. From there, automated root cause analysis isolates contributing factors, allowing maintenance actions to be precisely targeted rather than broadly scheduled. Prescriptive recommendations are then executed by Vertiv’s global services teams, closing the loop between insight and intervention.
Vertiv positions Next Predict as a foundational component of its broader AI infrastructure portfolio, which spans grid-to-chip power delivery, thermal management, and digital services. By integrating predictive intelligence across multiple infrastructure domains, the company says it can provide operators with a more unified view of risk, performance, and resilience – an increasingly important capability as data centers become more distributed and operationally complex.
According to Ryan Jarvis, vice president of Vertiv’s global services business unit, rising compute density and evolving architectures are exposing the limits of reactive maintenance models. He said the new service is intended to replace assumptions with continuous evidence, allowing operators to mitigate risks before they affect operations. The approach, he added, helps data centers “unlock uptime” by aligning maintenance decisions with actual equipment condition rather than static schedules.
Vertiv Next Predict currently supports a wide range of Vertiv power and cooling platforms, including battery energy storage systems and liquid cooling technologies commonly deployed in AI-focused facilities. The company emphasized that the platform was engineered for extensibility, enabling integration with future infrastructure technologies as data center designs continue to evolve. This forward compatibility is positioned as a key benefit for operators investing today while planning for rapidly changing AI workloads.
As AI reshapes digital infrastructure economics, predictive maintenance is emerging as a strategic lever rather than a back-office function. By industrializing maintenance through AI and analytics, Vertiv is betting that data center operators will increasingly view proactive operations as essential to sustaining performance, efficiency, and resilience at scale.
Executive Insights FAQ
Why is predictive maintenance becoming critical for AI data centers?
High-density AI workloads increase operational risk, making early detection of infrastructure issues essential to avoid costly downtime.
How does Vertiv Next Predict differ from traditional maintenance models?
It replaces time-based schedules with continuous monitoring, AI-driven risk assessment, and condition-based intervention.
What types of infrastructure does the service support?
It supports Vertiv power, cooling, battery energy storage, and liquid cooling platforms, with plans for future expansion.
Who executes maintenance actions identified by the system?
Corrective and preventive actions are carried out by Vertiv’s global services personnel.
How does this align with long-term data center strategies?
The service is designed to scale alongside evolving AI and data center architectures, supporting long-term resilience and efficiency.
