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Microsoft Azure
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Limitless innovation. ☁️ Follow along for the latest news and resources from the official #MicrosoftAzure# team. For help, contact @AzureSupport.
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Agentic AI is moving from pilot to production. What does the stack need? Microsoft AI, Nous Research and OpenRouter weigh in, moderated by Greylock's @jerrychen at Ignite. Register:
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Go beyond log visibility with Hardware Audit Logging for Azure Cloud HSM. Gain hardware-originated audit evidence and independently verify critical HSM activity with confidence. Learn more:
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How much time does it take to build an AI agent from scratch? Less than you think. Join @joshuakhuang as he uses natural language in GitHub Copilot and deploys on Microsoft Foundry. Register for Beyond the Buzz, Nov. 10, from 10 to 11 AM PST:
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Join From AI Curiosity to Practical Capability at #MSIgnite# for a hands-on Agent Platform lab experience focused on putting AI into practice. Register today:
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Building big with bigger ambitions? Which category has your name on it? Imagine Cup 2027 is open to early-stage startups solving real customer problems. Swipe to explore seven categories and apply to Microsoft's competition, presented by @msft4startups:
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Ready to make your event-driven apps more intelligent? In this episode of #AzureFriday#, @shanselman and Nick Greenfield explore Azure Functions hosted skills and how to use them with existing or new function apps. Watch the full episode:
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Scale with confidence as your business grows. See how Wolters Kluwer is using PostgreSQL and elastic clusters to support growing tax and accounting workloads, while building for greater scale and efficiency on Azure. Discover their journey:
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Building powerful long running agents requires a powerful agent harness. Now it's easier than ever inside of @Microsoft Foundry with the new Microsoft Copilot harness in Foundry Agent Service! 🧑‍💻 Build and govern a powerful agent powered by the same harness optimized across GitHub, Microsoft 365, and Copilot scenarios for agents that can accomplish complex and long running enterprise tasks -- no code required. All secured and governed in Foundry 🔐 Check it out:
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Run the open inference stack the way you built it. On AKS, vLLM, KServe, llm-d, and Ray work as they do upstream, and KAITO makes getting a model into production a Kubernetes operation. See it live at #KubeCon#:
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As applications evolve, the cloud-native foundation must evolve with them. Learn how Azure brings together infrastructure, open-source innovation, smarter operations and cost visibility to help organizations modernize and drive business value:
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Less about which hypervisor to run, more about operating consistently everywhere. Azure Local and Azure Arc are built for that, and Microsoft has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Server Virtualization Platforms.
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Maia 300 is part of an end-to-end Azure system, co-designed across silicon, software, networking, cooling, and datacenter infrastructure. Go deeper:
Digital sovereignty requirements vary by workload, and they keep changing. Microsoft and @Intel are building a consistent foundation from edge to cloud, so you can run AI where your data lives, with controls you can verify. Learn more:
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New: the IBM® Spectrum Symphony Provider Plugin for Azure Compute Fleet. Symphony orchestrates the workload, Compute Fleet supplies elastic capacity across Spot and pay-as-you-go VMs. Partners, here is your burst-to-Azure motion:
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Failures happen. But resilience at cloud scale is designed for the assumption that hardware will fail. The question isn't whether components fail. It's whether your architecture assumed they wouldn't. Read the blog by Mark Russinovich to learn more:
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IoT helps people learn. Industrial AI helps systems learn. Physical AI helps the process learn. Azure brings the loop together, and Microsoft has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Global Industrial AIoT Platforms.
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More compute from every rack. More useful work from every watt. More value from every server and component. See how Microsoft is modernizing Azure infrastructure while giving retired hardware its next useful life through Circular Centers:
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Our team spent 10 years teaching machines to read documents. LLMs improved language understanding, but reliable document extraction still depends on the system around the model. Here’s what we learned building Azure Content Understanding 🧵
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Resiliency is no longer just about disaster recovery. It starts with how you modernize. Learn how Azure helps organizations modernize with confidence through resilient design and operational continuity. Read the blog:
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Introducing 3 new models: MAI-Transcribe-2-Streaming, MAI-Voice-2.1 and MAI-Voice-2.1-Flash. Accurate streaming transcription. Natural speech and less waiting between turns. Build voice agents that keep the conversation moving!
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