Ready to reduce repeatable, manual work? Join Joshua Huang and Meera Rajagopalan on Oct. 20, 10–11 AM PST to learn how Microsoft Copilot Studio can turn your existing business processes and knowledge into AI agents using natural language. Register for free: https://msft.it/6042at688
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Join the Microsoft Azure community to be the first to learn about tech innovations, industry trends, updates relevant to you and your team.
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https://azure.microsoft.com
External link for Microsoft Azure
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- Technology, Information and Internet
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Updates
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Your tenth agent shouldn't take as long to build as your first. Ground agents in shared intelligence instead, and each new one inherits everything the ones before it built, then runs faster too, up to 2X more output per second. That's Microsoft IQ. Learn more: https://msft.it/6042asmWk
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Maia 300 is here. See what’s next for Azure infrastructure.
Introducing Maia 300, Microsoft’s next-generation accelerator. Building on the magic of Maia 200, it delivers 40% more inference tokens per megawatt compared to leading GPU-based systems, and up to 7x the rack-scale token throughput of Maia 200. It’s another step toward rethinking innovation and unlocking new possibilities. Discover how Maia 300 will help co-create what’s next for Microsoft’s infrastructure and technology: https://msft.it/6002aS862
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Scale cloud native workloads with Azure Linux. In this episode of #AzureFriday, Scott Hanselman and Poorvi Narang explore the open-source Linux distribution optimized for Azure workloads, from WSL to Azure VMs and AKS, its minimal footprint, built-in security capabilities, and what's new with Azure Linux 4.0, in public preview. Watch the full episode: https://msft.it/6049aUvr5
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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: https://msft.it/6045aUKSZ
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When leaders ask, "Is this delivering value?" Faros turns to Azure for the insights behind the answer.
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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: https://msft.it/6043aobJ5
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For industrial organizations, the goal is no longer simply connecting more equipment. It is building operations that perceive, reason, act, and learn from every outcome. That is the shift Azure’s adaptive cloud approach is built for, bringing Azure IoT, Azure Arc, Microsoft Fabric, and Microsoft Foundry together as one foundation from cloud to edge. And today, Microsoft has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Global Industrial AIoT Platforms. We believe this recognition reflects our vision for industrial operations: moving from connected systems to intelligent systems that continuously learn, adapt, and improve business outcomes. Michael MacKenzie on where industrial AI goes next: https://msft.it/6049aoBDD
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A server’s value doesn’t end when it leaves service. Microsoft Circular Centers help reuse, refurbish, resell, or recycle decommissioned hardware. Last year, Microsoft achieved a 92% reuse and recycling rate. Learn how Azure is extending the hardware lifecycle: https://msft.it/6043aWaZ3
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Organizations need more than model choice. They also need flexibility in the infrastructure, software, security, and deployment environments that support AI as requirements evolve. Microsoft provides the cloud, governance, security, and deployment foundation for sovereign AI. NVIDIA complements this foundation with accelerated computing, AI software, and confidential computing capabilities. Together, Microsoft and NVIDIA are helping customers run AI across cloud, data center, and edge environments while maintaining the level of control each workload requires. Learn more about Microsoft’s approach to sovereign AI: https://msft.it/10052026
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