1 day ago · One of the key advantages of using DeepSeek R1 or any other model on Azure AI Foundry is the speed at which developers can experiment, iterate, and integrate AI into their workflows. With built-in model evaluation tools, they can quickly compare outputs, benchmark performance, and scale AI-powered applications.

2 days ago · Usage: To use DeepSeek R1, search for it in the model catalog on Azure AI Foundry, open the model card, and click on deploy to obtain the inference API and key. This rapid accessibility and robust safety measures make DeepSeek R1 a valuable addition to the Azure AI Foundry, accelerating innovation and unlocking new possibilities for enterprises ...

2 days ago · DeepSeek-R1 is a model released just last week and has quickly gotten traction in the AI space. In this blog post, we’ll go over how you can easily deploy DeepSeek-R1 using Azure Container Apps serverless GPUs and Ollama. This guide will showcase how to deploy DeepSeek-R1, but the same steps apply for any model that you can find in Ollama's ...

1 day ago · DeepSeek-R1 has been announced on GitHub Models as well as on Azure AI Foundry, and the goal of this blog post is to demonstrate how to use it with LangChain4j and Java. We concentrate here on GitHub Models as they are easier to use (you just need a GitHub token, no Azure subscription required), then Azure AI Foundry uses the same model and infrastructure.

1 day ago · DeepSeek R1’s availability on Azure AI Foundry and GitHub marks a significant milestone in making advanced AI accessible to a broader audience. Microsoft plans to release distilled versions of DeepSeek R1 optimized for local deployment on Copilot+ PCs via the Windows Copilot Runtime.

14 hours ago · The availability of cloud-hosted DeepSeek R1 on Azure AI Foundry made local versions inevitable. Microsoft said: "With the speed and power characteristics of the NPU-optimized version of the DeepSeek R1 models, users will be able to interact with these groundbreaking models entirely locally."

1 day ago · “One of the key advantages of using DeepSeek R1 or any other model on Azure AI Foundry is the speed at which developers can experiment, iterate, and integrate AI into their workflows,” says ...

1 day ago · Azure AI Content Safety includes built-in content filtering, with options for users to opt out. The Safety Evaluation System helps businesses test AI applications before deployment. To use DeepSeek R1, developers can search for the model in the Azure AI Foundry catalogue, access the model card, and deploy it to obtain an inference API and key.

1 day ago · Microsoft today announced that R1, DeepSeek’s so-called reasoning model, is available on Azure AI Foundry service, Microsoft’s platform that brings together a number of AI services for ...

18 hours ago · One of the key advantages of using the DeepSeek R1 model on Azure AI Foundry is how quickly developers can experiment and integrate AI into their projects. Asha Sharma, Microsoft’s corporate ...