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This is a summary of a panel discussion at the Bisnow DICE conference, on the evolving landscape of AI data centers. The panelists — representing data center owners/operators, construction and data center solutions firms, and AI architecture leaders — discuss the dramatic shift in power and cooling requirements driven by the increasing density of AI workloads. Key themes include the need for earlier collaboration between stakeholders, the challenges of adapting legacy data centers for AI, the exploration of creative solutions to space and power constraints, and the importance of realistic expectations regarding technology adoption and supply chain issues. The overall purpose is to highlight the significant challenges and opportunities presented by the rapid advancement of AI and its impact on data center design and operation.
By Compu DynamicsThis is a summary of a panel discussion at the Bisnow DICE conference, on the evolving landscape of AI data centers. The panelists — representing data center owners/operators, construction and data center solutions firms, and AI architecture leaders — discuss the dramatic shift in power and cooling requirements driven by the increasing density of AI workloads. Key themes include the need for earlier collaboration between stakeholders, the challenges of adapting legacy data centers for AI, the exploration of creative solutions to space and power constraints, and the importance of realistic expectations regarding technology adoption and supply chain issues. The overall purpose is to highlight the significant challenges and opportunities presented by the rapid advancement of AI and its impact on data center design and operation.