Cloud architecture transforms enterprise storage to handle surging AI workloads and data demands
As AI models grow larger and enterprises retain massive datasets for training and inference, storage infrastructure is undergoing a fundamental transformation. Hyperscale cloud providers are reinventing primary storage for the AI era, shifting from traditional block systems to software-defined architectures that treat object storage as the foundation. This evolution addresses the unique demands of AI workloads while balancing performance, scalability, and sustainability.