DDN targets GPU efficiency with AI data infrastructure as the make-or-break layer
The race to build AI factories is well underway, and the winning organizations have learned that AI data infrastructure determines whether or not GPU investments pay off, while others are still scrambling to assemble workable solutions.
That divide is the clearest indicator from the field, said Alex Bouzari (pictured), chairman, co-founder and chief executive officer of DataDirect Networks Inc. DDN sits at the core of some of the world’s largest AI deployments, including hundreds of thousands of GPUs for xAI. Bouzari said the pattern is consistent. GPU utilization rates distinguish organizations where AI delivers measurable financial outcomes from those where expensive infrastructure is underused.
“The world is bifurcating into those enterprises, those nations where the GPUs are being fully utilized at highest levels of efficiency and the ones where the GPUs are sitting idle,” Bouzari said. “The ones who are not getting it right are trying to cobble solutions together, and by doing so, they’re spending a lot of money, but it’s wasted capital.”
Bouzari spoke with theCUBE’s John Furrier at the RAISE Summit 2026 during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how AI data infrastructure has become the defining layer of the AI stack, why sovereignty is reshaping deployment architectures and what distributed edge computing means for the next phase of AI factory design. (* Disclosure below.)
