DeepSeek R1 is only one of more than 1,800 models in the Azure AI Foundry catalog yet the speed at which it was brought on board is of note. Its inclusion will no doubt ruffle a few feathers among ...

Distilled R1 models can now run locally on Copilot Plus PCs, starting with Qualcomm Snapdragon X first and Intel chips later. This brings a lot more AI capabilities to Windows, and it’s something ...

DeepSeek’s cost-effective R1 AI model was integrated by Microsoft into the Windows 365 HDX Cloud Desktop, Azure AI Foundry, and GitHub. This move allows developers to easily incorporate R1 into ...

The Chinese company DeepSeek, which is currently shaking up the markets with its AI models, is now also available in Microsoft's Azure AI Foundry and via GitHub. This allows Microsoft customers to ...

Tech giant Microsoft has added DeepSeek R1 to the model catalog on Azure AI Foundry and GitHub, expanding its collection of over 1,800 AI models.(AP) Tech giant Microsoft has added DeepSeek R1 to ...

Microsoft has announced it will now host DeepSeek R1, the AI model at the centre of a recent controversy involving OpenAI, on its Azure cloud platform. The move, revealed on Wednesday, follows ...

Azure AI Foundry Labs will enable developers to experiment with new models and explore the latest frameworks, the company ...

Microsoft’s AI revenue has surpassed $13B annually, driven by Azure AI services and Microsoft 365 Copilot. Read why MSFT ...

DeepSeek for Copilot+ PCs is now available on Azure and GitHub. Microsoft is adding it to the model catalog on Azure AI ...

Microsoft has announced the addition of DeepSeek’s R1 AI model to its Azure AI Foundry platform and GitHub. This integration allows Microsoft customers to easily incorporate the R1 model into ...

According to Microsoft, the Azure portfolio includes around 1800 AI models. “DeepSeek R1 is available on a trusted, scalable and enterprise-ready platform that enables organizations to ...

Microsoft has integrated DeepSeek's R1 AI model into its Azure AI Foundry platform and GitHub, making it easier for developers to incorporate the cost-effective model into their AI applications.