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Introduction

The data center landscape is undergoing a seismic shift due to the growth of artificial intelligence . Gartner notes that 70 % of executives report exploring generative AI for their organization ; IDC forecasts that the AI software market is expected to be worth nearly $ 792 billion by 2025 and is projected to grow at a rate of 18.4 % through that year .

This growing adoption leads to profound changes in data center power requirements and infrastructure planning . As AI technologies advance , data centers ’ power demands and infrastructure requirements must evolve to accommodate increasing power densities , changing hardware configurations , and dynamic workloads . Data centers must be agile enough to scale up or down quickly to meet fluctuating demands without disrupting operations . This adaptability ensures efficient resource utilization , future-proofs the facility , and creates a scalable data center for seamless expansion to meet growing computational needs . Together , adaptability and scalability are essential cornerstones in designing data centers that can effectively harness the potential of AI while staying responsive to evolving business and technology trends .

Design criteria

The average data center design RFP in the late 2010 ’ s required approximately 5kW per cabinet and grew to 10kW per cabinet from approximately 2012 to 2018 . As an industry we quickly moved on from single phase 120-volt inputs , spent several years at single phase 208 volts , moved into three phase 208 volts , and on to other voltages , like 415 volts . p

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