
Limitless innovation. ☁️ Follow along for the latest news and resources from the official #MicrosoftAzure team. For help, contact @AzureSupport.
Redmond, WA
Joined October 2008
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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: msft.it/6010aaVnM
Replying to @RebekahKinney4
Hi there, thanks for reaching out! For the best assistance and support with Azure services we'd recommend reaching out to our team @AzureSupport. You can tag them in a post or DM them directly. xitter.cf/messages/compose?recip…
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: msft.it/6012avvL6
Replying to @MSFTResearch
Great example of how advances in networking can improve both efficiency and reliability at scale.
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: msft.it/6014avTTa
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: msft.it/6017avzrt
Replying to @apurvmishra2
Hi there, thanks for reaching out! For the best assistance and support with Azure services we'd recommend reaching out to our team @AzureSupport. You can tag them in a post or DM them directly.
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: msft.it/6018atozp
Replying to @MSCloud
Ready to see what’s next at Microsoft Ignite. ☁️
Replying to @pierceboggan
Fewer handoffs. Less context switching. Faster resolution. Love seeing Azure SRE help teams stay focused on what matters most!☁️
Replying to @Aakash_LV
Hi there, thanks for reaching out! For the best assistance and support with Azure services we'd recommend reaching out to our team @AzureSupport. You can tag them in a post or DM them directly. xitter.cf/messages/compose?recip…
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: aka.ms/Maia300
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: msft.it/6018aUvre
Replying to @itschrisestrada
Agreed. The real value comes from closing the loop between detection and resolution while keeping humans in control where judgment, risk, and accountability matter most.
Replying to @KettyBruce
Absolutely. Control, compliance, operational overhead, and scalability all matter. The best choice is the one that aligns with your organization's priorities and constraints.
Replying to @mehdidotnet
Absolutely. Context quality isn't just about relevance, it's also about freshness. Grounding AI in the right information at the right time is critical for building trustworthy experiences.
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: msft.it/6014aUKSk
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: msft.it/6014aobJg





