Panel: Designing for uncertainty in the era of AI

17 Sep 2025
Datacloud USA stage - Level 3
Datacloud USA

Scalability and flexibility are the key metrics when considering a successful design of data centers. With AI advancing, and the need for inference faicilities, retrofitting and rebuilding will be a necessity. This panel discusses:

  • How are operators ensuring flexibility of design?
  • Rethinking power architecture at the rack level
  • Which materials are most effective for retrofitting and rebuilding?
  • How will the different requirements from training and inference impact buildouts?
  • How is the move from inferencing to training impacting existing design strategies?
Speakers
Susanna Kass
Susanna Kass, Energy Fellow, Stanford University Data Center Advisor - UN SDG-EP
Derek Garnier
Derek Garnier, Chief Executive Officer - Evocative
Josh  Timberlake
Josh Timberlake, Senior Vice President, Site Selection - Stack Infrastructure
Kyle Kropf
Kyle Kropf, Associate Vice President, Data Center Portfolio Solutions Leader - Black & Veatch
Jason Black
Jason Black, Director of Cloud and Edge Data Center Engineering - Nvidia
Jason MacDowell
Jason MacDowell, Senior Director, Technology, Strategy & Policy - GE Vernova