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Case Study in Design and Construction of AI Data Centers

Luke Kipfer  (Vice President, Data Center Development and Construction, PowerHouse Data Centers)

Chris McLean  (Principal, Critical Facility Group)

Location: Room 201

Date: Tuesday, April 16

Time: 11:05 am - 11:55 am

Pass Type: AFCOM Solution Provider, All Access Conference, Industry Conference, Standard Conference - Get your pass now!

Track: Design, Build, Operate, Control

Session Type: Conference Session

Vault Recording: TBD

Audience Level: All Audiences

AI is now making its way to the marketplace in many industries, disrupting a data center sector that has been stressed in meeting the needs of traditional IT deployments. While many organizations are talking about preparing their data centers for AI or perhaps even entering the design stage, AI data center deployments are still uncommon, and the true demands are largely unknown. Luke Kipfer and Chris McLean have hands-on, boot-on-the-ground experience managing the design and construction of multiple facilities meant explicitly for AI use cases, and will share their knowledge from such case studies in a special presentation.

AI applications not only require more power, but they use power in a different way, which has major ramifications for other aspects of a data center build. In this session, you'll learn all about how those aspects play out in real-world examples. How much more power density do AI racks require? How does increased power density affect cooling design? How is the cabling of GPU clusters different? What does an AI-enabled system do to possible layout configurations? Join Luke and Chris as they take you through all the challenges — and solutions — for next-generation data center builds.


  • How to think about power requirements for AI racks
  • Alternative cooling systems for AI use cases
  • How larger cooling systems affect available space in an AI data center
  • AI considerations for existing data center renovations compared to new, ground-up data center builds