Latest news and updates about Azure.
Microsoft has outlined a more structured Azure Storage migration approach that combines Azure Migrate, the new Azure Copilot Migration Agent preview, Azure Storage Mover, and Azure Data Box. The guidance helps IT teams choose the right planning and transfer tools based on data size, network limits, synchronization needs, and modernization goals.
Microsoft Build 2026 emphasized a shift from AI experimentation to enterprise-scale systems designed to deliver measurable business outcomes. Key Azure announcements focused on shared business context for AI, integrated agent platforms with governance, and broader model choice to help organizations deploy AI faster, more securely, and with better cost control.
Microsoft has added Anthropic’s Claude Fable 5 to Microsoft Foundry, Foundry Agent Service, and GitHub Copilot for enterprise AI workloads. The model is designed for long-running, multi-step tasks and multimodal reasoning, while Foundry adds the governance, guardrails, and operational controls organizations need to deploy autonomous agents safely on Azure.
Microsoft has announced early access preview for Azure Cobalt 200 Arm-based VMs, delivering up to 50% better generational CPU performance than Cobalt 100 for cloud-native, Linux-based, and agentic AI workloads. The new VMs add higher storage and networking performance, scale to 128 vCPUs, and enable memory encryption by default, making them important for organizations optimizing AI inferencing, data pipelines, and modern web services.
Microsoft has expanded Azure Foundry IQ with serverless retrieval in public preview, new multi-source knowledge connectors, and generally available knowledge bases for production agent workloads. The updates help developers build and scale grounded AI agents faster while improving security, retrieval quality, and access to both enterprise and web data.
Microsoft has made Microsoft Discovery generally available as a production-ready platform for building and governing agentic AI workflows in scientific and engineering research. It also introduced the Microsoft Discovery app in preview, giving researchers and academic teams a simpler local entry point before moving to enterprise-scale deployments.
Microsoft outlined its broader Azure-led strategy for enterprise AI, arguing that successful adoption depends on a governed, integrated system around agents rather than standalone models or chatbots. The company is positioning Azure, GitHub, Microsoft IQ, Foundry, Microsoft 365, and Security tools as a unified platform to build, run, govern, and continuously improve AI agents at scale.
Microsoft Foundry is expanding its model ecosystem and operational tooling to help developers manage AI applications across selection, evaluation, optimization, and production operations. The update includes general availability of Fireworks AI on Microsoft Foundry, giving teams more model choice through a single Azure endpoint while improving cost control, governance, and lifecycle management.
At Microsoft Build 2026, Microsoft introduced new data platform capabilities aimed at helping developers move AI and agent-based apps from prototype to production. Key announcements include Rayfin for building Fabric-backed app backends, Azure HorizonDB in public preview for AI-ready PostgreSQL workloads, and new security and migration tools for Azure Database for PostgreSQL.
Microsoft Foundry now includes Anthropic Claude Opus 4.8, giving developers and enterprises access to a stronger model for coding, agentic workflows, and document-heavy analysis. The release matters because it expands model choice in Foundry while helping teams build and evaluate advanced AI applications with enterprise controls.
Microsoft is highlighting a system-level approach to Azure IaaS performance, emphasizing that compute, storage, and networking must be optimized together for AI, Kubernetes, and business-critical workloads. For IT teams, the guidance matters because it shifts performance planning away from simply sizing up resources and toward designing for consistent latency, throughput, scalability, and resilience.
Microsoft says Azure NetApp Files now delivers more predictable, high-performance shared storage for large-scale Electronic Design Automation workloads in Azure. New benchmark results and customer adoption highlight improved concurrency, low latency, and linear scaling, helping semiconductor teams run cloud-based EDA jobs without storage becoming the bottleneck.