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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…
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…
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…
Every day in the hallways at Microsoft, I hear product teams discussing where agents are headed and how software is forever changed. Many of us come into the office more now, and I didn’t realize how much I missed the in-between moments where natural chat gives us energy—coffee and hot takes on the way to…
Leaders are chasing the AI frontier, reimagining business systems as human-led and agent-operated. To do this, customers are on the hunt for smarter models, more capable agents, and market-ready solutions to operationalize AI workflows. When Forrester modeled the economics of enterprise AI with Microsoft Foundry, the biggest driver behind the 327% ROI over three years1…
Built for Reliable AI Production: Stronger reasoning, dependable execution, and agentic workflows at scaleToday, we’re announcing OpenAI’s GPT‑5.4 to be generally available soon in Microsoft Foundry: a model designed to help organizations move from planning work to reliably completing it in production environments. As AI agents are applied to longer, more complex workflows; consistency and…