- AI Roadshow: Powering AI Leadership
- 2026/05/04 16:00
- 2026/09/21 16:00
- mayo 04 - septiembre 21
- AI Roadshow: Powering AI Leadership, 10 cities across , North America
Vertiv AI Roadshow:
Powering AI Leadership
Discover what orchestrating converged physical infrastructure looks like for the AI era.
AI is pushing infrastructure beyond its limits. Rack densities are racing toward 1 megawatt per rack with facilities scaling from megawatts to gigawatts. Component-by-component builds can’t keep pace. Powering AI leadership means moving from reactive project builds to converged, integrated systems.
Projected AI infrastructure investment by 2030 *Based on JLL’s 2026 Global Data Center Outlook
NVIDIA Vera Rubin systems committed for AI factory scale deployment. *Announced GTC 2026
The industry is being forced to a complete redesign
The physics of AI infrastructure have outrun the project-build model with rack densities racing toward 1 megawatt and facilities scaling from megawatts to gigawatts. Power must scale from grid-to-chip across higher voltage DC architectures. Cooling must act as the facility's circulatory system: adaptive, resilient, and liquid-first.
The result is a fundamental break from how data centers have been assembled project by project. The Vertiv AI Roadshow moves that transition forward with use cases drawn from real deployments across enterprise retrofits, modular builds, high-density AI clusters, and hyperscale AI factories, each showing what converged, factory-ready infrastructure looks like when it's engineered as a system.
AI workloads are no longer one-size-fits-all
They span edge sites, enterprise clusters, colocation facilities, and purpose-built high-density AI factories, each with fundamentally different infrastructure demands. The Vertiv AI Roadshow gives you the playbook for all of them.
5–30 kW per rack
Latency‑sensitive inference in factories, hospitals, and retail — where infrastructure footprint is constrained but uptime is non‑negotiable.
10–45 kW pods
Departmental copilots and predictive analytics — delivering enterprise AI with manageable density and scalable power distribution.
50–140 kW hubs
Hybrid cooling and standardized expansion blocks — purpose‑built for training workloads that demand consistent thermal performance at scale.
150+ kW liquid‑first
Liquid‑first architectures for model development and retraining — where direct liquid cooling is no longer optional.
Factory‑validated systems
Pre‑integrated power, cooling, and controls that compress time‑to‑capacity, reduce stranded load, and stabilize operations as densities rise.
From the field, not a white paper
Real use cases, real deployments, and direct access to Vertiv engineers — plus one-on-one meetings to discuss your specific infrastructure goals.
Who should attend
Coming to a city near you
Ten stops across North America from May through September 2026. Register for the city that works best for you.
Northern Virginia
Virginia
The Westin Tysons Corner
7801 Leesburg Pike Falls Church, VA 22043
New York
New York
Jay Suites Midtown East
515 Madison Avenue, 8th & 9th Floors. New York, NY 10022
Dallas
Texas
Hilton DFW Lakes Executive Conference Center
1800 Hwy. 26E, Grapevine, Texas 76051
San Francisco/San Jose
California
Hyatt Regency Santa Clara
5101 Great America Parkway. Santa Clara, CA 95054
A half-day to build mastery
Join us for a tightly structured morning of strategic sessions, real-world use cases, and a fireside chat.
After a working lunch, meet one-on-one with a Vertiv engineer.
Connect with peers and Vertiv representatives before the program begins.
Setting the stage: where AI infrastructure stands today and why the stakes have never been higher. Keynote
Strategic partner NVIDIA shares insights on what's driving AI factory infrastructure at scale. GUEST SPEAKER
An updated framework for understanding the power, cooling, and integration demands driving the next generation of AI deployments — from edge to hyperscale. Strategic session
Real-world examples of organizations upgrading existing facilities to support AI workloads — balancing cost, risk, and time-to-capacity. Use case
How organizations are deploying repeatable, factory-validated modules to scale AI capacity without stranding load or compromising reliability. Use case
From gigawatt ambitions to ground-level execution — infrastructure strategies for purpose-built AI facilities at the frontier of density and scale. Use case
An unscripted conversation with industry leaders on the decisions, tradeoffs, and lessons learned from organizations that are already operating at scale. Fireside chat
Actionable frameworks and next steps you can apply immediately.
Included for all attendees. Vegan and other dietary-options available.
Schedule dedicated time with Vertiv engineers and strategists to discuss your specific infrastructure goals, challenges, and deployment plans. By appointment
Frequently Asked Questions
Register now – complimentary access
Your registration comes at no cost and connects you directly to Vertiv’s leadership in AI infrastructure. Expect strategic insights, real‑world case studies, and actionable guidance on powering AI environments at scale.
By joining, you’ll gain access to the frameworks and imperatives that are shaping the backbone of tomorrow’s compute.

