L A T E S T I N T E L L I G E N C E

The explosive advent of the AI universe is revolutionizing the data center industry in dozens of ways . From the smallest edge data closets to the largest hyperscale data centers from tech giants like Google and Meta , the power consumption , heat generation , and compute density of hardware powering AI applications and their workloads demand a radically different approach to data center design , construction , and operation .

There ’ s no consensus , however , about the emerging needs of next-generation data centers . Dozens of vendors , from startups to Fortune 500 companies , all tout their perspectives . Though many views on the needs of data centers for accelerated computing overlap , they ’ re often different and sometimes in conflict . It ’ s important to take in diverse voices when attempting to make AI infrastructure design and procurement decisions with implications that will last a decade .

At Legrand , we ’ re not just a supplier for and collaborator with the world ’ s largest enterprise data centers , colocation companies , and hyperscalers . We are data center insiders deeply embedded in the cutting edge of data center design . If you have a role in designing and building data centers supporting AI infrastructure , some of this paper ’ s elements will be familiar , and others will be unfamiliar , but they ’ re all proven in deployments worldwide and represent a new frontier in data center design . We ’ re here to reveal these cuttingedge approaches , opening a world of possibilities for designing and building data centers for AI , machine learning , neural networks , deep learning , and generative AI applications . �

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