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Panel: Designing for uncertainty in the era of AI

17 Sep 2025
Red
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, Energy Fellow, Stanford University Data Center Advisor - UN SDG-EP
Derek Garnier, Chief Executive Officer - Evocative
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