7 Infrastructure Pitfalls Blocking AI And How To Fix Them
DDN, Thursday, July 24th, 2025
Deloitte recently sounded the alarm in their 2025 Tech Trends report, Hardware is Eating the World: skyrocketing power consumption, idle GPUs, and legacy architectures are threatening to stall enterprise AI adoption. But for those working deep in AI infrastructure, none of this is surprising.
For anyone working deep in AI infrastructure, this isn't news-it's validation.
The truth is, most enterprise infrastructure was never built for modern AI. It wasn't designed to move petabytes in real time. To power thousands of GPUs in parallel. To operate at the edge. Or to do it all sustainably.
And now, those architectural gaps are no longer invisible-they're expensive. They show up as underutilized GPUs, runaway power bills, egress costs, and AI teams constantly waiting on data.