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The Vertiv™ AI Roadshow went to ten cities in 2026. Now, the conversation goes everywhere.

Three hours of real customer implementations, live speaker Q&A, and the Vertiv™ Frontiers perspective on what comes next.

 

What you will learn

After two decades of steady evolution, the data center industry is advancing into a new era. AI and accelerated compute are redefining how organizations design, deploy, and scale digital infrastructure at a pace faster than anything in the past two decades. Vertiv Frontiers identifies four macro forces driving this transformation.

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Extreme densification

AI workloads are pushing rack power well beyond 25KW and often into triple digits. Systems that previously filled a data hall now fit into a single rack.

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Gigawatt scaling

Facilities are now being built at unprecedented gigawatt scale, with prefabricated modular blocks designed to scale from tens of megawatts to multigigawatt campuses.

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Unit of compute

The data center is becoming a single system where power, cooling, and IT work as one integrated architecture, from rack to row to site.

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Silicon diversification

The chips powering AI are diversifying to include custom silicon and new form factors. Infrastructure must support the full spectrum of compute.

These are not trends. These are what customers are doing.

You will hear from real deployments across every scale of AI infrastructure. Not theory. Not projections. The actual decisions, tradeoffs, and lessons learned from organizations already running AI in production. 

AI deployment

Real-world examples of AI deployments for edge and enterprise, with practical focus on deployment, reliability, and time-to-capacity. How distributed AI is reshaping where and how compute happens.

BEST FOR

Edge and enterprise

Repeatable, factory-validated modules

How organizations deploy repeatable, prefabricated modular infrastructure to scale AI capacity without stranding load or compromising reliability. The building-block approach to mid-size deployments.

BEST FOR

Mid-size colocation

Purpose-built AI facilities

From gigawatt ambitions to ground-level execution. Infrastructure strategies for purpose-built AI facilities at the frontier of density and scale, where the entire facility is engineered as one system.

BEST FOR

Hyperscale and AI factory

Agenda

Three hours. Six sessions. One conversation.

 

Speakers

The people behind the analysis.

You will hear from real deployments across every scale of AI infrastructure. Not theory. Not projections. The actual decisions, tradeoffs, and lessons learned from organizations already running AI in production. 

What we do

Others assemble products. We engineer infrastructure as one system.

Integration is assembling the right components. Convergence is engineering them to operate as one from the beginning, purpose-built for deployment at speed, predictable scaling, and repeatable performance across multiple generations of compute.

 

“The evolution of AI depends on highly integrated digital infrastructure deployed at unprecedented speed and scale. The data center industry must keep pushing the frontiers of innovation, driving advances from grid to chip, chip to heat reuse, while preparing for the next wave of breakthroughs.”

Scott Armul

Scott Armul

Chief Product and Technology Officer, Vertiv

Join the AI conversation that closes out the year

Register now to get notified when the live webinar drops. Hear about real customer implementations, listen to live Q&A with
Vertiv leaders and our NVIDIA guest, and understand the Vertiv perspective on what comes next

Register now

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