Vertiv Unveils AI Service to Predict Data Center Failures

COLUMBUS, Ohio – January 22, 2026 – Vertiv, a global provider of critical digital infrastructure, today announced a significant step toward self-aware data centers with the launch of Vertiv™ Next Predict. The new AI-powered managed service is designed to fundamentally overhaul infrastructure maintenance, moving the industry from a reactive, break-fix model to a proactive, predictive strategy. This launch comes as data centers, increasingly rebranded as 'AI factories,' grapple with unprecedented power and cooling demands, making operational continuity more critical than ever.

As artificial intelligence workloads reshape the digital landscape, the underlying infrastructure is being pushed to its limits. Vertiv Next Predict aims to provide a crucial layer of intelligence across power, cooling, and IT systems, creating a more resilient foundation for these compute-intensive environments. The service industrializes operations by continuously analyzing equipment behavior to identify risks before they can materialize into costly downtime.

"Data center operators need innovative technologies to stay ahead of potential risks, as compute intensity rises and infrastructures evolve," said Ryan Jarvis, vice president of the global services business unit at Vertiv. "Vertiv Next Predict helps data centers 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."

Beyond Break-Fix: A New Paradigm for Uptime

For decades, data center maintenance has largely followed a predictable, if inefficient, pattern: perform scheduled check-ups based on calendar dates or react to alarms after a component has already failed. This model is becoming untenable in an era where a single moment of downtime can disrupt complex AI training models and result in substantial financial losses. Vertiv Next Predict seeks to dismantle this old paradigm by embedding intelligence directly into the maintenance lifecycle.

The service operates on a multi-layered AI framework. First, AI-based anomaly detection algorithms continuously sift through high-resolution telemetry from critical equipment, establishing a baseline of normal behavior. When subtle deviations occur—changes in temperature, voltage, or vibration that might be imperceptible to human operators—the system flags them as potential precursors to failure.

Next, a predictive algorithm assesses the operational impact of the detected anomaly, assigning a risk score to prioritize the response. This is followed by a root cause analysis that isolates the contributing factors, ensuring that the subsequent intervention is targeted and efficient. Critically, this is a managed service, meaning that once a prescriptive action is defined, qualified Vertiv™ Services personnel are dispatched to perform the corrective measures, closing the loop from prediction to resolution. This integration of proprietary AI analytics with a global network of trained technicians is what Vertiv hopes will set its offering apart in a growing market.

Fortifying the Foundations of the AI Revolution

The launch of Vertiv Next Predict is not happening in a vacuum; it is a direct response to the immense pressures AI is placing on digital infrastructure. The rise of high-density computing and AI-specific hardware has led to rack power densities skyrocketing from an average of 5-10kW to 50kW, with some projections exceeding 100kW per rack. This intensification necessitates advanced cooling solutions, such as direct-to-chip liquid cooling, and more robust power delivery systems.

In such a high-stakes environment, the failure of a single cooling pump or power distribution unit can have a cascading effect, bringing an entire AI cluster to a halt. Vertiv Next Predict is engineered to address these modern challenges head-on. The service already supports a broad range of Vertiv's power and cooling platforms, including newer technologies like battery energy storage solutions (BESS) and complex liquid cooling components, which are becoming mission-critical for AI deployments. By offering predictive insights into these vital systems, Vertiv aims to provide the stability required to run large-scale AI and HPC workloads without interruption.

An Integrated Ecosystem for AI Infrastructure

Vertiv Next Predict is more than a standalone service; it is a key component of the company's broader, integrated strategy to provide end-to-end solutions for the AI era. This new service fits into a growing portfolio of hardware, software, and services designed to work in concert to accelerate the deployment and simplify the management of AI-ready data centers.

This ecosystem includes solutions like the Vertiv™ OneCore, a scalable prefabricated data center solution that integrates power and thermal management to cut deployment times for high-density builds. It also complements the Vertiv™ SmartRun, a modular overhead system that combines power distribution, liquid cooling piping, and containment. The data gathered and analyzed by Next Predict provides a continuous feedback loop, enhancing the performance and reliability of the physical hardware.

Furthermore, the service is built for the future. Vertiv has emphasized that Vertiv Next Predict is designed with scalability in mind, enabling seamless integration with future data center technologies as part of a unified, grid-to-chip service architecture. This forward-looking approach offers customers an assurance that their investment in predictive maintenance today will evolve alongside their infrastructure needs tomorrow.

The Economic and Human Impact of Predictive Intelligence

The primary value proposition of Vertiv Next Predict is a significant return on investment driven by enhanced operational excellence. By preempting failures, data center operators can drastically reduce unplanned downtime, which remains one of the largest hidden costs in the industry. The data-driven approach also allows for the optimization of maintenance schedules and component replacements, moving away from costly and often unnecessary calendar-based servicing. This not only lowers operational expenses but also helps extend the useful lifespan of critical and expensive equipment.

This shift also promises to reshape the role of the data center professional. As AI takes over the minute-by-minute monitoring and diagnosis of equipment health, human operators can transition from being reactive 'firefighters' to more strategic asset managers. Their focus can shift to long-term capacity planning, efficiency optimization, and overseeing the AI-driven systems that manage the facility's health. Early adopters like Compass Datacenters are already exploring this synergy, implementing a dual strategy that combines on-site Vertiv services with the AI-powered monitoring of Vertiv Next Predict to achieve a new level of operational resilience.

As businesses and entire economies become increasingly dependent on the computational power of AI, the reliability of the underlying digital infrastructure is no longer just an IT concern—it is a fundamental pillar of modern industry. Vertiv's strategic push into predictive intelligence signals a broader industry transformation toward more autonomous, resilient, and efficient data centers capable of supporting the next wave of technological innovation.