Data Storage Innovations for Scalable AI Infrastructure

The exponential growth of AI model complexity and data volumes is reshaping the architecture of modern data centers. This session explores how innovations in storage technology—particularly SSDs—are enabling scalable, high-performance AI infrastructure. We examine the evolving storage demands across AI workflows, from training to inference, and highlight architectural considerations including memory and storage tiering, local and remote topologies, access path optimizations, and emerging SSD design strategies. 
Attendees will gain insights into how advanced data storage solutions are not only improving efficiency but also unlocking the capacity to train and deploy increasingly sophisticated AI models—driving the next wave of AI capabilities.