Vertiv: How Predictive AI is Powering Resilient Data Centres

Vertiv has unveiled Vertiv Next Predict, a managed predictive maintenance solution tailored to meet the evolving needs of today’s data centres and AI-driven facilities.

The launch signals a wider industry transition from reactive and schedule-based servicing to dynamic, analytics-driven maintenance models, as compute intensity and infrastructure complexity continue to accelerate.

Integrated within Vertiv’s AI-ready infrastructure portfolio, Next Predict harnesses predictive intelligence to optimise performance across power, cooling and IT systems.

Through continuous real-time analysis of equipment behaviour, the service aims to detect potential issues before they affect operations – enabling greater reliability and uptime in environments powering ever more critical, high-density workloads.

As AI training and inference continue to accelerate the adoption of high-density accelerator clusters, alongside liquid cooling and battery-backed power architectures, operators face growing pressure to preserve resilience across distributed environments.

Conventional maintenance methods are increasingly challenged by this pace of change, often failing to detect issues that arise between scheduled inspections or intensify quickly under operational stress.

From reactive to predictive operations

Vertiv Next Predict leverages machine learning and anomaly detection to provide continuous insight into the performance of supported infrastructure.

Instead of depending on fixed maintenance schedules or post-failure interventions, the platform builds a dynamic baseline of normal system behaviour and detects deviations as they emerge.

According to Vertiv, this approach allows maintenance teams to concentrate on assets posing the greatest operational risk, rather than applying uniform attention across all equipment.

The service also assesses the potential business impact of each anomaly, enabling response prioritisation based on operational criticality.

“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 positions Next Predict as a tool for accelerating and refining issue resolution.

When a fault is identified, root cause analysis is used to pinpoint underlying factors across interdependent systems.

Prescriptive actions are then generated using system telemetry and the specific operational context of each site.

Corrective actions are delivered by Vertiv Services personnel, linking analytics directly to field execution rather than placing full responsibility for interpretation and response on the customer.

This integration of AI-driven insight with on-the-ground expertise is designed to shorten mean time to repair and reduce unnecessary interventions.

The service currently extends across a wide range of Vertiv power and cooling solutions, including battery energy storage systems and liquid cooling technologies that are increasingly prevalent in AI-centric data centres.

Vertiv plans to broaden support further as additional platforms are integrated into its portfolio.

Built for high-density and future architectures

Vertiv positions Next Predict as a scalable offering aligned with its broader grid-to-chip strategy.

According to the company, the platform is built to evolve alongside emerging data centre technologies, enabling operators to adopt predictive maintenance capabilities without becoming restricted to a fixed or static toolset.

This future-ready architecture is especially significant as operators adopt new cooling designs, increase rack densities and pursue deeper integration between IT and facility systems.

Predictive intelligence spanning these connected domains is now seen as critical to sustaining service continuity at scale.

Supporting the service is Vertiv’s global operations network, backed by decades of experience in critical infrastructure management and a worldwide team of Vertiv-certified technicians.

The company views this combination of advanced analytics and hands-on execution as a key differentiator as data centre operators seek partners capable of bridging digital intelligence with physical performance.

Supporting AI-driven facilities

The launch of Next Predict coincides with Vertiv’s ongoing expansion into solutions purpose-built for AI and high-density computing, spanning prefabricated data centre modules and scalable infrastructure systems.

Collectively, these developments underscore Vertiv’s commitment to helping operators design, deploy and manage increasingly complex facilities with greater predictability as AI workloads take centre stage in enterprise and cloud strategies.

By embedding predictive maintenance into daily operations, Vertiv aims to shift data centres from reactive incident management toward proactive risk reduction – positioning AI not only as a computational enabler but as a catalyst for operational efficiency.