Azure Storage for AI workloads | OD870

Name: Azure Storage for AI workloads | OD870
Uploaded: 2026-06-12T16:31:50.000Z
Channel: Microsoft Developer
Description: This Microsoft Build 2026 session covers how Azure Storage enables scalable AI inference by reducing GPU idle time, accelerating model loading, and optimizing data access. It demonstrates practical integration with Azure NIXL, Run:AI Streamer, Azure Foundry, and AKS for enterprise AI deployments, targeting developers and architects building production AI systems.

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Microsoft Developer June 12, 2026

AI summary

This Microsoft Build 2026 session covers how Azure Storage enables scalable AI inference by reducing GPU idle time, accelerating model loading, and optimizing data access. It demonstrates practical integration with Azure NIXL, Run:AI Streamer, Azure Foundry, and AKS for enterprise AI deployments, targeting developers and architects building production AI systems.