DeepSeek R1 is now available in the model catalog on Azure AI Foundry and GitHub, expanding Microsoft’s portfolio of over 1,800 AI models. This new model is designed for seamless integration into enterprise systems while ensuring compliance with security and responsible AI standards.
DeepSeek R1 joins Microsoft’s AI model catalog on Azure
DeepSeek R1 offers a powerful and cost-efficient AI model that enables developers to harness advanced AI capabilities with minimal infrastructure investment. It facilitates rapid experimentation, iteration, and integration, enhancing the speed at which enterprises can deploy AI solutions. Developers benefit from built-in evaluation tools, allowing them to compare outputs, benchmark performance, and scale their AI applications effectively.
How to setup DeepSeek-R1 easily for free (online and local)?
Microsoft emphasizes the importance of safety and security in AI development. DeepSeek R1 has undergone extensive safety evaluations, including automated assessments of its behavior and security reviews, to mitigate potential risks. Azure AI Content Safety features built-in content filtering by default, along with opt-out options. Additionally, the Safety Evaluation System enables customers to test their applications prior to deployment, ensuring a secure environment for AI solutions.
Credit: Microsoft
To use DeepSeek R1 in the model catalog, users must sign up for an Azure account if they do not already have one. After locating DeepSeek R1 in the catalog, they can open the model card, click on deploy, and receive the inference API and key, along with access to the playground. Deployment is swift, taking less than a minute to generate the necessary API and key. Users can also explore additional resources and guides on GitHub.
Future developments include the release of distilled versions of the DeepSeek R1 model for local use on Copilot+ PCs, as announced in the Windows Developer blog post.
During a recent earnings call, Microsoft CEO Satya Nadella discussed the AI arena, noting that advancements in AI, like those from DeepSeek, exemplify ongoing innovation in the sector. He acknowledged the rapid evolution of AI technology, comparing its trajectory to past shifts in computing paradigms. Despite the emergence of competitors, Nadella expressed confidence in the positive implications for broader market consumption and application development, particularly as costs for inference computing decline.
