- Vertiv DCD AI Week 2026
- 2026/07/27 00:00
- 2026/07/30 16:00
- 7/27/26 7/27/26 - July 30, 2026
Vertiv DCD AI Week 2026
Register nowNavigate the next era of AI infrastructure
Join Vertiv during DCD AI Week 2026 for five days of discussions exploring the technologies, strategies, and infrastructure considerations shaping AI-ready data centers. Sessions examine the evolving AI infrastructure landscape, power availability, validated design approaches, and enterprise deployment models. Discussions also address the operational requirements for supporting AI workloads at scale.
Vertiv leaders and industry speakers will share perspectives on planning, deploying, and operating AI infrastructure. Discussions span the full lifecycle in a rapidly changing market.
Why attend?
Participants will gain insights into:
AI infrastructure trends, investments, and deployment priorities.
Strategies for securing, orchestrating, and managing power capacity for AI workloads.
Approaches for reducing design risk through validated architectures and digital continuity.
Frameworks for aligning AI workloads with appropriate deployment and infrastructure models.
Operational considerations for maintaining performance, flexibility, and future readiness.
Who should attend
- Data center owners and operators
- Cloud and colocation providers
- IT and infrastructure leaders
- Data center consultants and designers
- Colocation operators
- Facilities, power, cooling, and operations professionals
- AI infrastructure decision-makers
What to expect
Across five sessions, speakers will explore:
- Infrastructure trends influencing AI deployments and long-term planning.
- Power, cooling, controls, and operational strategies supporting AI environments.
- Infrastructure design, deployment, and lifecycle considerations across the AI data center journey.
Each discussion connects infrastructure strategy with deployment, reliability, operational effectiveness, and future scalability.
Featured sessions
Giordano Albertazzi
Chief Executive Officer, Vertiv
Dan Loosemore
Chief Executive Officer, DCD (Moderator)
July 27, 2026 • Fireside chat
From planning and design to deployment reality - What operators must solve next
From planning and design to deployment reality - What operators must solve next
AI infrastructure has moved from experimentation and hyperscale training buildouts into a more complex deployment phase. Customers are no longer asking whether AI demand is real, they are asking where workloads land, how much power they can secure, what density they can support, how to avoid stranded capital, and how to optimize AI outcomes. In this episode, Vertiv CEO Giordano Albertazzi will sit down with DCD CEO Dan Loosemore to discuss what the next challenges in rapid AI deployment will be, and what organizations should be doing now to prepare. They will explore:
- The key forces reshaping infrastructure: density, speed, scale, complexity and dynamic load profiles
- Market reality checks: how scrutiny is shifting from CapEx announcements to revenue-producing capacity as AI investment continues
- The industry's shift from a megawatt-centric view of AI infrastructure to maximizing AI outcomes, performance and tokens per second per megawatt
- How the problems being solved across hyperscalers, NeoClouds, colos and enterprises differ
- How the infrastructure ecosystem is changing from product selection to validated system architectures
George Hannah
Vice President, Vertiv Thermal Systems and Advanced Development, Vertiv
Chris Thompson
Vice President, Global Advanced Technology and Microgrid Solutions, Vertiv
James Raddings
Digital Portfolio Lead, DCD
July 28, 2026 • Panel discussion
Grid power and AI-ready data centers
Delivering power confidence for high-density data centers
Power strategy is now a deployment strategy. The decision for operators is not simply grid versus off-grid, it is how to combine utility power, onsite generation, BESS, UPS, power smoothing, and create a power system that supports dynamic AI loads. This episode will explore how to build a power strategy that protects capacity, and how power architectures are evolving. We will unpack:
- AI load behavior - why dynamic AI loads change the power protection and energy storage architectures
- The importance of interconnection timing and early utility coordination
- The emergence of different voltage architectures, such as 800 VDC
- The changing role of battery energy storage systems from back-up to integral for flexibility and system responsiveness
- How to build a power strategy that protects and enhances capacity
Martin Olsen
Vice President, Segment Strategy & Deployment, Data Centers, Vertiv
Diana Kearns-Manolatos
Channel Manager, DatacenterDynamics
Zoe Turner
Principal / Partner, Deloitte
Matt Jacobs
Managing Director, Deloitte
July 30, 2026 • Customer case study / discussion
Inside the rack: AI workloads and hardware innovation
From pilot to production - Matching enterprise AI workloads to infrastructure models
Enterprise AI is not one infrastructure problem. Workloads differ by scale, latency, data gravity, governance, utilization, and criticality. In this discussion, speakers will delve into how enterprise AI is moving from pilots and productivity tools towards production use cases, and why workload behavior and constraints should be the first consideration factor when deciding where AI workloads should be run. We will unpack:
- Key considerations for enterprise AI deployments, including understanding workload profiles for infrastructure planning
- How rack and whitespace considerations are changing where and how enterprise AI workloads are being deployed
- The importance of partner ecosystems such as OEMs and silicon partners in moving from AI strategy to deployable infrastructure
- Why designing around workload behavior is vital for enterprise AI infrastructure success
Scott Armul
Chief Product and Technology Officer, Vertiv
Jim McGregor
Founder / Principal Analyst, Tirias Research
Emma Strutton
Head of Channels, DCD (moderator)
July 31, 2026 • Fireside chat
The big picture: Trends, investments and AI innovation
The AI data center operating model - Performance, flexibility, and future readiness
The AI data center of the future will not be defined by one end-state architecture. It will be defined by optionality, orchestration, serviceability, and the ability to adapt across multiple compute generations. This episode will explore the many factors that AI infrastructure decisions now depend on, and how to future-ready facilities and keep them performing as workloads, business requirements and power and cooling architectures evolve rapidly. Join this session to discover:
- How the operating challenges of AI data centers are changing, from controls complexity to skills gaps
- How technologies such as 800 VDC, thermal management technologies and onsite power integration are changing skill sets required to work in data centers
- The growing importance of lifecycle assurance in maintenance, including predictive servicing and upgrade planning
- How to design for today’s workloads but preserve optionality for evolving racks and chip densities
Reserve your spot for DCD AI Week 2026
Join Vertiv and industry leaders for five days of discussions on AI infrastructure, power strategy, design validation, enterprise deployment models, and the future of AI-ready datacenters.
