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

By Dustin Ward

Microsoft combines accelerated computing with cloud scale engineering to bring advanced AI capabilities to our customers. For years, we’ve worked with NVIDIA to integrate hardware, software and infrastructure to power many of today’s most important AI breakthroughs. What’s new at NVIDIA GTCExpanded Microsoft Foundry capabilities to build, deploy and operate production-ready AI agents on NVIDIA…

Modernizing regulated industries with cloud and agentic AI

By Dustin Ward

Organizations today face mounting pressure to grow revenue, strengthen security, and innovate—often all at the same time. To meet these demands, many are accelerating cloud migration as a way to unlock greater business outcomes. According to the IDC White Paper,1 sponsored by Microsoft, the top driver for moving to the cloud is operational efficiency, with…

Many agents, one team: Scaling modernization on Azure

By Dustin Ward

Announcing new agents for modernization that are built to scale and designed for control. When you watch a live broadcast—like the Olympics Games or a major sporting event—you aren’t thinking about the coordination behind it. You simply experience the event. Out of sight, specialized teams synchronize cameras, replays, data, and commentary in real time. When…

Many agents, one team: Scaling modernization on Azure

By Dustin Ward

Announcing new agents for modernization that are built to scale and designed for control. When you watch a live broadcast—like the Olympics Games or a major sporting event—you aren’t thinking about the coordination behind it. You simply experience the event. Out of sight, specialized teams synchronize cameras, replays, data, and commentary in real time. When…

Introducing Fireworks AI on Microsoft Foundry: Bringing high performance, low latency open model inference to Azure

By Dustin Ward

Across industries, organizations are increasingly standardizing on open models to gain greater control over performance, cost, customization, and the security and compliance required for enterprise deployment. Open models give teams the flexibility to choose the right architecture for each workload and avoid lock‑in to a single model provider as their needs evolve. Explore models on…