Redesigning the Data Center for AI Workloads: How AI Is Forcing Organizations to Rethink the Data Center

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 cutting-edge approaches, opening a world of possibilities for designing and building data centers for AI, machine learning, neural networks, deep learning, and generative AI applications.

Fill out the form to download the white paper now.