How legacy storage infrastructure could endanger your future
There can’t be many tech leaders who don’t realize that AI relies on vast amounts of data.
Yet it’s not always clear that everyone has grasped just how fundamental their storage choices are to the success of their AI initiatives.
It’s not for want of spending. The first half of 2024 saw organizations increase spending on compute and storage infrastructure for AI deployments by 37 percent to $31.8bn, according to research firm IDC. Almost 90 percent of this was accounted for by servers, with 65 percent being deployed in cloud or shared environments. The storage element increased 36 percent as organizations strive to manage the massive datasets needed for training as well as data repositories for inference.
Gartner’s John-David Lovelock also sounded a warning in October, as he predicted increased spending on AI infrastructure in 2025: “The reality of what can be accomplished with current GenAI models, and the state of CIO’s data, will not meet today’s lofty expectations.”
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