Vertiv launches AI to predict data center failures

January 28, 2026 2 min read

Next Predict combines advanced analytics and predictive algorithms to transform maintenance and safeguard the efficiency of critical data centers.

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What if data centers could anticipate failures before they happen?

Artificial intelligence is beginning to change the way critical digital infrastructure is protected.

In an environment where every second of downtime can translate into critical losses, anticipating failures is no longer an advantage—it is a necessity.

With this premise, Vertiv announced the launch of Vertiv™ Next Predict, a managed, AI-driven service designed to transform data center maintenance, shifting from reactive models to a predictive, data-based approach.

Transforming Maintenance

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The company explained that the new solution analyzes asset behavior before risks materialize, enabling the early detection of deviations and supporting informed decision-making.

Next Predict is integrated into the company’s AI infrastructure portfolio and is designed to deliver predictive intelligence across power, cooling, and IT systems.

Its goal is to build a more resilient foundation for AI-powered data centers.

Data Center Challenges

The announcement comes at a time when AI workloads are redefining operational demands on data centers.

According to the company, these facilities now require greater visibility and control over their critical infrastructure to sustain operational continuity and performance at scale, particularly in distributed environments.

Ryan Jarvis, Vice President of Vertiv’s Global Services Business Unit, explains:

”Data center operators need innovative technologies to anticipate potential risks as computational intensity increases and infrastructures evolve. Next Predict helps data centers unlock uptime by shifting maintenance from traditional calendar-based routines to a proactive, data-driven strategy. We move from assumptions to informed decisions, continuously monitoring equipment health and mitigating risks before they can impact operations.”

Applied Predictive Intelligence

The service leverages AI-based anomaly detection to continuously monitor operational conditions and identify early-stage deviations from expected behavior.

This is complemented by a predictive algorithm that evaluates the potential impact of each anomaly, assesses risk levels, and helps prioritize responses.

Subsequently, an initial root cause analysis isolates contributing factors, enabling more precise resolution. Based on system data and operational context, prescriptive actions are defined and executed with the support of Vertiv™ Services’ qualified personnel.

Vertiv detailed that the solution was designed with versatility and future growth in mind.

Currently, the service supports a wide and expanding range of the company’s power and cooling platforms, including battery energy storage systems (BESS) and liquid cooling components.

Moreover, its architecture anticipates integration with future data center technologies as part of a unified “network-to-chip” service model.

This enables organizations to scale as their infrastructure needs evolve.

The service is backed by Vertiv Services, a global network of trained technicians and AI-driven analytics, with decades of experience in maintaining critical digital infrastructure.