Enterprises Prioritize Storage For AI Readiness

Enterprise IT teams are increasingly identifying storage, rather than model compute, as the primary bottleneck for production AI, the article says. It reports that RAG datasets commonly span terabytes to tens of terabytes, argues object storage and shared data services are essential for scalable inference and KV-cache management, and recommends composable storage and data-intelligent nodes to reduce duplication and latency.