What CTOs Need to Know About Modern AI Storage
Hitachi Vantara, Friday, March 20th, 2026
As organizations scale their AI initiatives from experimentation into production, CTOs face a pivotal architectural challenge as storage emerges as one of the most common-and most expensive-constraints.
While organizations continue to invest aggressively in GPU compute, studies consistently show that infrastructure inefficiencies outside the GPU account for the majority of wasted AI spend.
The shift toward high-volume, real-time data pipelines requires storage infrastructures engineered not only for throughput and latency, but also for operational simplicity, sustainability, and predictable cost control. In other words: faster data, fewer surprises, and less time explaining budget overruns to the CFO!