DCD Energy and Power Week 2026
Sponsored by Vertiv | Available on-demand
Accelerating time to power for AI infrastructure
As AI demand continues to drive data center expansion, power availability has emerged as one of the primary constraints on new capacity. For operators, competitive advantage is no longer defined solely by securing a site. It increasingly depends on how quickly they can move from site selection to energized infrastructure and, ultimately, to productive AI workloads.
Join Vertiv during DCD Energy and Power Week 2026 for a discussion on how microgrid architectures are being deployed to address power availability challenges for AI and hyperscale data centers. Speakers will examine deployment models, power architecture considerations, and the relationship between compute infrastructure, facility power systems, and the grid.
Join the conversation and learn insights on:
The role of microgrids in AI and hyperscale data center deployments
Behind-the-meter generation and energy storage strategies
Islanded, hybrid, and phased power deployment models
Approaches for scaling capacity beyond the utility grid
The relationship between compute infrastructure, facility power systems, and utility integration .
Design considerations for grid-ready AI power architecture
Who should attend?
- Data center owners and operators
- Hyperscale and cloud infrastructure teams
- AI infrastructure decision-makers
- Power and electrical engineering professionals
- Data center consultants and designers
- Energy strategy professionals
- Facilities and operations professionals
- Colocation providers and developers
Featured session
Kyle Keeper
Senior Vice President, Power Management, Vertiv
Chris Thompson
Vice President, Global Advanced Technology and Microgrid Solutions, Vertiv
Reserve your spot for DCD Energy and Power Week 2026
Join Vertiv and industry leaders for a discussion on power availability, microgrid architecture, and AI infrastructure deployment strategies.
Discover how operators can accelerate time to power, expand capacity options, and develop grid-ready power architectures designed for the next generation of AI workloads.