Infinite scale: The architecture behind the Azure AI superfactory

Today, we are unveiling the next Fairwater site of Azure AI datacenters in Atlanta, Georgia. This purpose-built datacenter is connected to our first Fairwater site in Wisconsin, prior generations of AI supercomputers and the broader Azure global datacenter footprint to create the world’s first planet-scale AI superfactory.

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Microsoft strengthens sovereign cloud capabilities with new services

We continue to adapt our sovereignty approach—innovating to meet customer needs and regulatory requirements within our Sovereign Public Cloud and Sovereign Private Cloud. We are announcing a new wave of capabilities, building upon our digital sovereignty controls, to deliver advanced AI and scale, strengthened by our ecosystem of specialized in-country partner experts.

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Powering Distributed AI/ML at Scale with Azure and Anyscale

The path from prototype to production for AI/ML workloads is rarely straightforward. As data pipelines expand and model complexity grows, teams can find themselves spending more time orchestrating distributed compute than building the intelligence that powers their products. Scaling from a laptop experiment to a production-grade workload still feels like reinventing the wheel. What if scaling AI workloads felt as natural as writing in Python itself? That’s the idea behind Ray, the open-source distributed computing framework born at UC Berkeley’s RISELab, and now, it’s coming to Azure in a whole new way.

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Enhancing software supply chain security with Microsoft’s Signing Transparency

Microsoft is announcing the preview of Signing Transparency to address software supply chain threats that traditional code signing alone cannot fully prevent, building on the Zero Trust principle of “never trust, always verify.” Signing Transparency uses an append-only log to verifiably record each signature, with keys protected in a secure confidential computing enclave.

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