Google Cloud storage moves to the front of the AI stack as enterprises hit the GPU utilization ceiling

For the past two years, enterprise AI investment has been dominated by one conversation: compute. Organizations raced to secure GPU allocations, negotiated infrastructure deals and stood up machine learning platforms at speed. What many discovered only after the fact is that the bottleneck they thought they were solving was not the only one in the room. Storage is now throttling the very accelerators enterprises fought to acquire. In the latest episode of the AppDevANGLE podcast, I spoke with Ronen Schwartz, vice president of products for Google Cloud Storage at Google LLC, about why storage has quietly become the defining constraint in enterprise AI infrastructure, and what a purpose-built architecture for AI workloads actually looks like. The conversation cuts to a problem that is real, measurable and still largely underacknowledged in most AI strategy discussions. “Storage just got promoted,” Schwartz said. “Instead of being at the backend as…