Azure Storage for AI workloads | OD870
Azure Storage adds capabilities to make agentic AI inference faster, cheaper, and more secure by reducing GPU idle time via faster model loading.
“This talk is focused on inference, the dominant AI workload today, and the unique capabilities Azure storage brings to make agentic inference faster, cheaper, and more secure”
A Microsoft Build session walks through how Azure Storage supports AI inference at scale—securely connecting enterprise data to models, accelerating inference with high-performance storage clients (blobfuse, ADLFS, PyTorch connector), and cutting GPU idle time through faster model loading. It positions storage as foundational infrastructure for agentic inference but is a vendor technical walkthrough rather than a major industry signal.