Learn how Azure Storage is evolving for agentic workloads, Kubernetes‑based cloud‑native applications, and block storage at global scale. Read more.

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Azure Storage is evolving to support AI workloads at scale, from frontier model training to large-scale inference and agentic applications. Key developments include blob scaled accounts for enterprise AI datasets, Azure Managed Lustre for high-performance GPU workloads (up to 512 GBps throughput), and Elastic SAN for multi-tenant cloud-native applications. The platform integrates with AI frameworks like Microsoft Foundry and LangChain, while Azure Container Storage simplifies Kubernetes-based stateful applications. For mission-critical workloads, Ultra Disks deliver sub-500 microsecond latency with up to 800K IOPS, and Azure NetApp Files introduces zone-redundant storage. Strategic partnerships with NVIDIA, ServiceNow, Databricks, and others enable co-engineered solutions optimized for the demands of autonomous agents and modern cloud infrastructure.

Azure Storage 2026: Built for Agentic Scale and Cloud‑Native Apps

Evolving cloud native applications for agentic scale

Breaking price performance barriers for mission critical workloads

Designing for new realities of power and supply

Accelerating innovations through the storage partner ecosystem

To an exciting new year with Azure Storage

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