Over half of AI projects are shelved due to complex infrastructure

More than half of AI projects have been delayed or canceled within the last two years citing complexities with AI infrastructure, according to a research report commissioned by DDN, a data optimization company in partnership with Google Cloud and Cognizant.

About two-thirds of the 600 IT and business decision-makers surveyed at US enterprises with 1,000 or more employees said their AI environments are too complex to manage.

“If you look at the enterprise, there's just enormous enthusiasm to deploy AI, but the problem is that the infrastructure, the power, and the operational foundation that is required to run it just aren't there,” Alex Bouzari, CEO of DDN, told The Register. “And so as a result, it pops up in the financial elements with IT projects getting delayed, the GPUs being underutilized, power costs going up. And so the economics, I think, for lots of organizations don't ...