Designing for sovereign AI: A shared foundation from edge to cloud

By Dustin Ward

As organizations apply AI to more business-critical and data-intensive workloads, AI processing is moving closer to where data is created, decisions are made, and operations take place. Manufacturers can analyze confidential production data next to the systems that generate it. Pharmaceutical companies can apply AI to clinical trials within controlled environments. Government agencies can run…

Evolving the cloud-native foundation for the next generation of AI

By Dustin Ward

Building a cloud-native foundation for AI The relationship between model innovation and AI infrastructure has never been more clear; as AI becomes more capable, the platform underneath it matters even more. Agents are fundamentally changing how applications work, and with that, what organizations need from the cloud. Learn how to build a cloud-native AI foundation…

Deep dive into Azure Maia 300 architecture

By Dustin Ward

From its inception, Azure Maia has been built around a single architectural philosophy: optimize the entire system for LLM inference so that every watt and every dollar delivers more intelligence. Now in its third generation, Maia 300 is the fullest expression of that philosophy. Maia 300 is built as a complete system, with software, silicon,…