DDN And Google Cloud Are Redefining AI Storage Infrastructure For The Agentic Era
siliconANGLE, Friday, April 24th, 2026
As enterprises pivot from AI experimentation to production deployment, AI storage infrastructure is emerging as the critical bottleneck determining whether massive chip investments deliver real returns.
The central challenge for running large-scale AI workloads has shifted from building models to keeping the accelerators that run them fully fed. GPU and tensor processing unit utilization rates - not raw compute capacity - now define whether AI investments generate real returns, according to Alex Bouzari (pictured, right), co-founder and chief executive officer of DataDirect Networks Inc.
'Demand is skyrocketing. I think what's happening is finally the world is evolving from experimenting with AI, trying to figure out what to do, how to do it, how to drive value, to production scale,' Bouzari said.