Critical lifecycle services for AI factories and multi-building data center campuses
Watch on demandEvolving campuses, rising challenges.
Data center campuses are moving from single-site builds to multi-building, gigawatt-scale ecosystems, where AI workloads demand extreme power density and continuous uptime. This shift introduces new challenges that make lifecycle services mission‑critical:
Slow mean-time-to-repair due to parts delays or access constraints
Rapid fleet growth without proportional staffing scale
Fragmented communication across owners, operators, and multiple vendors
Complex system and controls integration
Liquid loop risks, including contamination, flow instability, and leak readiness
Limited predictive insight, with issues discovered only after failures emerge
In this on-demand webinar, our Vertiv™ Services leader will talk the lifecycle processes that address these challenges.
Speaker
Todd Vandenbusche
Vice President of Service Operations, Vertiv
Critical services for AI factories and multi-building data center campuses
As data centers scale from 100-megawatt deployments to gigawatt-level AI campuses, the rules of lifecycle service have fundamentally changed. In this webinar, Todd Vandenbusche, VP of Service Operations at Vertiv, breaks down the real challenges operators face today — from liquid cooling complexity and parts availability to the skilled labor shortage — and walks through how Vertiv's Signature Service model and AI-powered predictive maintenance are built to meet them.
“Predictive maintenance is the future. Reactive maintenance just doesn't cut it anymore. We think Vertiv™ NextPredict and predictive operations are really the future for us and our customers.”
Vertiv™ Services: Global presence, local expertise
Hybrid delivery model: Scaling service for gigawatt campuses
Vertiv™ Signature Service package delivers lifecycle support through a hybrid model designed for the realities of hyperscale AI campuses. This approach blends global scale with local execution, ensuring operators have predictable coverage even in remote or non‑traditional regions.
- Site‑based technicians: Embedded expertise for immediate response and continuity
- On‑site parts inventory: Reducing mean‑time‑to‑repair by eliminating delays
- Predictive intelligence: AI‑driven monitoring and diagnostics to anticipate issues before failures occur
- Supplemental labor pools: Scalable staffing to match rapid fleet growth and multi‑building ecosystems
- Integrated reporting: Streamlined communication across owners, operators, and vendors
Vertiv™ Next Predict: Intelligent monitoring through
AI-powered analytics
Vertiv™ Next Predict is an AI‑powered predictive maintenance platform that transforms service from reactive repair into proactive execution. By continuously monitoring equipment health and analyzing performance data, Next Predict enables operators to anticipate issues before they escalate into downtime.
Key Benefits:
- Continuous monitoring: real‑time visibility across multi‑GW campuses
- Early anomaly detection: identifying risks before failures occur
- Proactive interventions: shifting service strategies from reactive to planned execution
- Lifecycle integration: embedded within Vertiv™ Services’ commissioning, maintenance, and monitoring framework
Watch the webinar on demand
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