Microsoft at NVIDIA GTC: New solutions for Microsoft Foundry, Azure AI infrastructure and Physical AI

Microsoft has unveiled new solutions at NVIDIA GTC that combine accelerated computing with cloud scale engineering to deliver advanced AI capabilities to customers. The company has been collaborating with NVIDIA for years to integrate hardware, software, and infrastructure, powering significant AI breakthroughs across industries. At NVIDIA GTC, Microsoft has expanded its Microsoft Foundry capabilities, optimized its Azure AI infrastructure, and deepened its integration with Physical AI systems.

At the core of these advancements is Microsoft Foundry, which serves as the operating system for building, deploying, and operating AI at enterprise scale. Foundry is built on Azure and brings together models, tools, data, and observability into a single system designed for production-ready AI agents. The company is now expanding Foundry's capabilities through the Foundry Agent Service and Observability in the Foundry Control Plane, which are now generally available. These updates enable organizations to build and operate AI agents at production scale, fostering developer productivity and enterprise trust.

One notable example of Foundry's impact is Corvus Energy, which is using the platform to replace manual inspection workflows with agent-driven operational intelligence across its global fleet. The next-generation Foundry Agent Service allows teams to quickly develop agents that can reason, plan, and act across tools, data, and workflows. Once created, the Foundry Control Plane provides end-to-end visibility into agent behavior, ensuring both developer efficiency and enterprise reliability.

Microsoft is also simplifying the path from prototype to production with the availability of Voice Live API integration. Additionally, the company is opening NVIDIA Nemotron models, making it easier for developers to leverage pre-trained models and accelerate their AI projects.

In terms of Azure AI infrastructure, Microsoft has optimized it for inference-heavy, reasoning-based workloads. This includes the first hyperscale cloud to power next-generation NVIDIA Vera Rubin NVL72 systems. By leveraging these advancements, organizations can expect enhanced performance and scalability in their AI applications.

Furthermore, Microsoft is deepening its integration across Microsoft Foundry, Microsoft Fabric, and NVIDIA Omniverse libraries and open frameworks to support Physical AI systems. This integration spans from simulation to real-world operations, enabling a seamless transition between these environments.

From Frontier models to production-ready agents, Microsoft's new solutions at NVIDIA GTC demonstrate a commitment to delivering cutting-edge AI capabilities that are both powerful and scalable. By combining accelerated computing with cloud engineering, the company is poised to help organizations unlock the full potential of AI in their operations.