Vertiv has unveiled Vertiv™ Next Predict, a new AI-powered managed service designed to transform how data centers and AI factories handle maintenance, reliability, and operational risk. The service marks a shift away from traditional time-based and reactive maintenance models toward predictive, intelligence-led operations that anticipate failures before they occur.
According to Vertiv, Next Predict uses advanced artificial intelligence and machine learning to continuously analyze the real-time behavior of critical infrastructure assets, including power, thermal, and cooling systems. By detecting anomalies and performance deviations early, the platform enables operators to intervene before minor issues escalate into costly outages or equipment failures.
The service is part of Vertiv’s broader integrated AI infrastructure portfolio, which targets the growing complexity of modern data centers and AI-driven computing environments. As AI workloads place heavier and more variable demands on infrastructure, operators are under increasing pressure to ensure uptime, efficiency, and resilience at scale.
Vertiv said Next Predict “industrializes” maintenance by turning operational data into actionable insights. Instead of relying on fixed maintenance schedules or reacting to breakdowns after they happen, customers can use predictive intelligence to optimize service interventions, reduce unplanned downtime, and extend the lifespan of critical assets.
The company noted that the service combines AI analytics with Vertiv’s domain expertise and global service capabilities. Data collected from connected equipment is analyzed against known performance models, historical patterns, and failure signatures, allowing the system to flag emerging risks and recommend corrective actions.
Industry analysts say predictive maintenance is becoming increasingly important as hyperscale data centers, colocation facilities, and AI factories expand rapidly, particularly in emerging markets. In regions such as Africa, where power stability and infrastructure reliability can be uneven, AI-driven maintenance tools could play a key role in improving operational continuity and reducing operating costs.
Vertiv also emphasized that Next Predict is delivered as a managed service, reducing the burden on in-house teams. Customers gain access to continuous monitoring, expert support, and data-driven recommendations without needing to build advanced analytics capabilities internally.
With global demand for AI compute accelerating and data center architectures becoming more complex, Vertiv positions Next Predict as a critical tool for operators seeking to move from reactive firefighting to proactive, intelligence-led infrastructure management.
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