Microsoft Azure

RT @jeffhollan: 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:

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:

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:

Natalie and Hector share how they’re testing and improving the system as the work evolves.

What would you ask Natalie and Hector about building AI for HR? Learn more:

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.

Maia 300 is part of an end-to-end Azure system, co-designed across silicon, software, networking, cooling, and datacenter infrastructure. Go deeper:

Join Azure at #KubeCon + #CloudNativeCon North America, Nov. 9–12. Start the week at Microsoft Azure Day with Kubernetes for expert sessions, hands-on labs, and roundtables with the AKS team. Request your spot:

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:

See how Azure designs across silicon, networking, power, cooling, and security, and collaborates with the OCP community to help the industry scale intelligence more efficiently, reliably, and responsibly:

AI agents are moving from answers to actions. But how do you safely run what they create? On Azure Friday, @shanselman and Jan Kalis explore how Azure Container Apps Sandboxes isolate agentic AI workloads. Watch now:

Maia 300 is here. See what’s next for Azure.

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:

Scale cloud native workloads in Azure Linux. In this episode of #AzureFriday, @shanselman and Poorvi Narang explore Azure Linux across WSL, Azure VMs, and AKS, plus its minimal footprint, built-in securities, and Azure Linux 4.0. Watch now:

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:

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:

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.

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:

RT @msdev: 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 🧵

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: