DDN and Google Cloud are redefining AI storage infrastructure for the agentic era
GPU utilization rates are plummeting. Storage—not chips—is now the bottleneck killing AI ROI at scale.
Why it matters
As enterprises move from AI pilots to production, storage infrastructure has become the critical limiting factor determining whether billion-dollar chip investments actually drive business returns. DDN and Google Cloud's partnership signals a market shift from compute-centric to storage-centric AI infrastructure design.
The key facts
5 to knowStorage infrastructure identified as critical bottleneck in production AI deployment
GPU/TPU utilization rates constrained by data pipeline capacity
Enterprise pivot from experimentation to production workloads driving infrastructure redesign
DDN and Google Cloud partnership addressing agentic AI storage demands
Shift from compute-first to storage-first AI infrastructure strategy
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Publisher excerpt: 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…