Revolutionizing Business with AI: GPT-OSS on Azure

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Key Points:

  • Azure AI Foundry and Windows AI Foundry are providing a unified platform for building, fine-tuning, and deploying intelligent agents with confidence.
  • OpenAI’s gpt-oss models are now available on Azure AI Foundry and Windows AI Foundry, allowing developers to run, adapt, and deploy OpenAI models entirely on their own terms.
  • Hybrid AI is now possible with Azure AI Foundry and Foundry Local, enabling developers to mix and match models, optimize performance and cost, and meet their data where it lives.

According to sources, Microsoft is building a full-stack AI app and agent factory that empowers every developer to create with AI. This vision is behind the company’s AI platform spanning cloud to edge. Azure AI Foundry provides a unified platform for building, fine-tuning, and deploying intelligent agents with confidence, while Foundry Local brings open-source models to the edge, enabling flexible, on-device inferencing across billions of devices.

With the launch of OpenAI’s gpt-oss models, developers and enterprises have unprecedented ability to run, adapt, and deploy OpenAI models entirely on their own terms. These models are fast, capable, and designed with real-world deployment in mind, allowing for reasoning at scale in the cloud or agentic tasks at the edge. The models are also easy to fine-tune, distill, and optimize, making them ideal for a wide range of applications.

Open models have moved from the margins to the mainstream, powering everything from autonomous agents to domain-specific copilots. With Azure AI Foundry, developers have the infrastructure to move with this momentum, allowing them to fine-tune models using parameter-efficient methods, distill or quantize models, and trim context length to hit strict memory envelopes for edge GPUs and even high-end laptops.

The availability of gpt-oss on Azure and Windows unlocks powerful new possibilities for both builders and business leaders. For developers, open weights mean full transparency, allowing them to inspect the model, customize, fine-tune, and deploy on their own terms. For decision makers, it’s about control and flexibility, with competitive performance and no black boxes.

Microsoft envisions a future where AI is ubiquitous, and the company is committed to being an open platform to bring these innovative technologies to customers across all data centers and devices. The release of gpt-oss and its integration into Azure and Windows is part of this bigger story, with Microsoft doubling down on its commitment to democratize AI.

Developers can deploy gpt-oss in the cloud today with a few CLI commands using Azure AI Foundry, or deploy gpt-oss-20b on their Windows device today (and soon on MacOS) via Foundry Local. With Azure AI Foundry and Foundry Local, developers can mix and match models, optimize performance and cost, and meet their data where it lives, making hybrid AI a reality. Microsoft is also committed to open tools and standards, with the GitHub Copilot Chat extension now open source on GitHub under the MIT license.

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You might also like: Why Choose Azure Managed Applications for Your Business & How to download Azure Data Studio.

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