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while utility providers accommodate power demands that exceed traditional data centre loads.
“ It’ s forced some things to happen in the industry – we can’ t be siloed,” she adds.
“ It’ s a supply chain in itself. That’ s forced a lot of collaboration and some out-of-the-box thinking. Using AI in our industry for our own benefit has happened. It’ s really changed dramatically in the last five years,” Brittany observes.
The timeline of change has compressed dramatically, with fundamental infrastructure modifications occurring within months rather than years.
“ Things like automation, modularity, power and sustainability are no longer optional. How do you solve this complex puzzle with those types of things? That’ s where the industry is now,” she notes.
Customer collaboration shapes AI infrastructure development The complexity of AI infrastructure requirements has moved customer relationships beyond traditional capacity planning into collaborative technology development partnerships. To cite one example, NTT Global Data Centers has deployed substantial liquid cooling capacity over the past two years while engaging customers in forwardlooking planning processes.
“ How do you power high density? How do you support it from an infrastructure perspective?,” Brittany asks.“ We’ ve been focused on that and have been able to deploy quite a bit of liquid cooling capacity over the last year or two, which has accelerated the way we’ re thinking about the product and where the market is going.”
90 November 2025