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This Iron Mountain Data Centers insight paper looks at the geographical implications of AI inference in particular, and gives a few examples of the investment and site selection, design and construction required to make accelerated computing a part of everyday life.

The data center industry has pivoted to focus on the requirements of Machine Learning and Artificial Intelligence, building larger, clustered, more densely configured facilities and campuses. While the bulk of AI investment so far has been on AI training centres, we are now entering the era of inference as AI production centers deliver valuable services to the world.
This Iron Mountain Data Centers insight paper looks at the geographical implications of AI inference in particular, and gives a few examples of the investment and site selection, design and construction required to make accelerated computing a part of everyday life.
Our data center business is one of the fastest-growing operators in the global colo, cloud and AI space, but it is also committed to increasing its leadership in security, sustainability and customer focus.
AI is the biggest driver, running on top of existing cloud, government and enterprise growth. About 20% of total data center capacity is already being used for AI, and Cushman & Wakefield estimates that AI will drive $75 billion in data center demand by 2028, pushing this share up to 35% of the total market. This puts greater pressure than ever before on data center businesses to build more and bigger AI-ready facilities.
According to McKinsey “to avoid a deficit, at least twice the data center capacity built since 2000 would have to be built in less than a quarter of the time."

Source: Structure Research
Hyperscalers are the biggest customers, now accounting for as much of the global colocation market as Enterprise IT, and consistently increasing their investment. But there are many others. In addition to growing enterprise and cloud demand, the market is being accelerated by neoclouds, a new generation of specialized cloud computing providers looking for purpose-built AI, ML and HPC facilities. Neoclouds are forecast to expand and, increasingly, dominate the managed infrastructure segment over the next few years.

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