India, Sept. 11 -- Artificial Intelligence (AI) is changing enterprise storage requirements as organisations retain more data and bring information previously consigned to archives back online for training, inference and Retrieval-Augmented Generation (RAG).

The shift is broadening the AI infrastructure conversation beyond compute, driving businesses to focus on storage capacity, retrieval speeds and cost per terabyte alongside the performance requirements of AI workloads.

According to a recent IDC white paper, Built for Scale: The Enduring Role of HDDs in the AI Era, 75.9% of surveyed organisations are increasing the volume of archived cold-tier data brought back online for AI workloads, while 96% expect to need faster archive retrieva...