Panel: Designing for uncertainty in the era of AI

Scalability and flexibility are the key metrics when considering a successful design of data centers. With AI advancing, and the need for inference faiclities, 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?