Vertiv: Targeting Uptime with AI Predictive Maintenance

Vertiv has introduced Vertiv Next Predict, a managed predictive maintenance service aimed squarely at the operational demands of modern data centres and AI factories. 

The launch reflects a broader shift in the sector away from reactive and calendar-based maintenance towards continuous monitoring and data-led decision making as compute density and system complexity rise.

Positioned as part of Vertiv’s integrated AI infrastructure portfolio, Next Predict is designed to deliver predictive intelligence across power, cooling and IT systems. 

By analysing equipment behaviour in real time, the service is intended to identify emerging risks before they impact availability, supporting higher uptime in facilities running increasingly critical and power-hungry workloads.

As AI training and inference drive denser deployments of accelerators, liquid cooling and battery-backed power systems, operators are under pressure to maintain resilience across distributed estates. Traditional maintenance approaches can struggle to keep pace with these changes, particularly when faults emerge between scheduled inspections or escalate rapidly under load.

From reactive to predictive operations

Vertiv Next Predict applies machine learning and anomaly detection to continuously assess operating conditions across supported infrastructure. 

Rather than relying on fixed service intervals or responding after failures occur, the platform establishes a baseline of expected behaviour and flags deviations at an early stage.

According to Vertiv, this enables maintenance teams to focus on assets that present the highest operational risk, rather than treating all systems equally. The service also evaluates the potential impact of identified anomalies, helping to prioritise response based on criticality to operations.

“Data centre operators need innovative technologies to stay ahead of potential risks, as compute intensity rises and infrastructures evolve,” says Ryan Jarvis, Vice President of the Global Services Business Unit at Vertiv. 

“Vertiv Next Predict helps data centres unlock uptime, shifting maintenance from traditional calendar-based routines to a proactive, data-driven strategy. We move from assumptions to informed decisions, by continuously monitoring equipment condition and enabling risk mitigation before potential impacts to operations.”

AI analytics tied to field expertise

Beyond detection and prioritisation, Vertiv says Next Predict is designed to support faster and more targeted resolution. 

Once an issue is identified, root cause analysis is applied to isolate contributing factors across interconnected systems. Prescriptive actions are then defined based on system data and the specific operational context of the site.

Corrective measures are carried out by Vertiv Services personnel, linking analytics directly to execution rather than leaving interpretation and response entirely with the customer. This combination of AI-driven insight and field expertise is intended to reduce mean time to repair while avoiding unnecessary interventions.

The service currently supports a broad range of Vertiv power and cooling platforms, including battery energy storage systems and liquid cooling components that are becoming more common in AI-focused data centres. Support is expected to expand as new platforms are added to Vertiv’s portfolio.

Built for high-density and future architectures

Vertiv has positioned Next Predict as a scalable service aligned with its wider grid-to-chip approach. 

The company says the platform has been engineered to integrate with future data centre technologies as infrastructure architectures evolve, allowing customers to adopt predictive maintenance without locking themselves into a static toolset.

This forward-looking design is particularly relevant as operators experiment with new cooling topologies, higher rack densities and tighter integration between IT and facilities systems. Predictive intelligence that spans these domains is increasingly viewed as essential for maintaining service continuity at scale.

Vertiv’s global services organisation underpins the offering, drawing on decades of experience in critical infrastructure support and a worldwide network of Vertiv-trained technicians. The company sees this as a differentiator as data centre operators look for partners that can support both advanced analytics and on-the-ground execution.

Supporting AI-driven facilities

The launch of Next Predict comes as Vertiv continues to expand its portfolio for AI and high-density environments, including prefabricated data centre solutions and modular infrastructure systems. 

Together, these offerings reflect a focus on helping operators deploy and operate complex facilities more predictably as AI workloads become central to enterprise and cloud strategies.

By embedding predictive maintenance into day-to-day operations, Vertiv is aiming to help data centres move from reactive firefighting to managed risk reduction, with AI used not only as a workload driver but also as an operational tool.