Unpacking the imperatives of intelligent infrastructure
Vertiv’s senior leaders and strategic partner NVIDIA explore the infrastructure imperatives driving scalable AI deployment today.
Vertiv is supercharging data’s potential; accelerating the pace of technology, raising the bar for high performance compute and redefining the limits of densification.
As AI accelerates, so do the risks of misalignment. That’s why Vertiv, backed by deep infrastructure expertise and a strategic partnership with NVIDIA, is sharing the imperatives behind scalable, high-performance AI environments.
This five-part series delivers actionable guidance for teams navigating complexity, accelerating timelines, and building infrastructure that performs today and evolves for tomorrow.
All Episodes (5)
Vertiv Enterprise Sales Vice President Tony DeSpirito sets the stage for the AI Solutions Roadshow. From the evolution of compute to rising demands in power density, thermal rejection, and rack-level design, this session explores how AI is reshaping every layer of the data center.
Explore how enterprise teams are deploying AI factories across industries. NVIDIA Healthcare Solutions Architecture Director Colin Compas, Ph.D, shares practical insights on model development, infrastructure layering, and operational challenges from token efficiency to liquid cooling and reference design strategies.
Understand the five thermal imperatives that define AI-ready infrastructure. Tifft Gannon, Thermal Sales Director at Vertiv, breaks down liquid cooling requirements, CDU strategies, fluid chemistry, and hybrid air-liquid integration. Learn how IT, facilities, and engineering teams collaborate to maintain uptime, scalability, and operational performance.
Dive into the power imperatives behind AI infrastructure. Jim Greene, Director of Technical Sales for AC Power North America, explains how GPU load profiles challenge traditional power systems, why UPSs must evolve into dynamic power managers, and how battery chemistry, voltage evolution, and prefabricated deployment strategies support high-density growth.
Ron Tessing, Senior Field Sales Engineer for Global Strategic Accounts at Vertiv, walks through rack-level design, reference architectures, and service strategies for AI infrastructure. Learn how modular systems, intelligent controls, and advanced leak detection protect high-value equipment and shorten deployment timelines.
From data center to AI factory
AI infrastructure is entering its next phase, reshaping the backbone of physical compute. As organizations scale to meet accelerated demand, the pressure on power, cooling, and deployment strategy is intensifying:
Average rack density increased due to new AI workloads, but remains insufficient to support high-density architecture
The failure rate of artificial intelligence and machine learning (AI/ML) projects is soaring, with inadequate infrastructure seen as among the root causes
Forecast on global spending on AI reaches nearly $2 trillion in 2026 due to continued investment in AI infrastructure expansion
Liquid cooling penetration in data centers exploring AI adoption surges from 14% in 2024 to 33% in 2025
1. Data Center Knowledge, 2024, 2. Rand, 2024, 3. Gartner, 2025 4. TrendForce 2025
eBook
Infrastructure imperatives: Solving critical challenges for managing AI workloads
Dive deeper into the operational challenges of scaling AI infrastructure, with practical guidance and field-tested insights on adapting legacy systems and planning for high-density deployments.
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