Azure Storage for AI workloads​ | OD870

This session from Microsoft Build 2026 demonstrates how Azure Storage optimizes AI inference at enterprise scale. Viewers will learn to reduce GPU idle time through faster model loading, implement explicit caching with Azure Blob and NIXL integration, and securely connect enterprise data to AI models using Azure integrations. The content is designed for cloud architects and ML engineers building production AI systems on Azure.