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Microsoft has added DeepSeek’s R1 AI model to its Azure AI Foundry platform and GitHub. This lets customers easily integrate the R1 model into their AI applications. R1 is gaining attention for being trainable at a much lower cost than top AI models like those from OpenAI.
DeepSeek’s R1 model is touted as a cost-effective alternative to other AI models that rely on costly Nvidia chips. Its developers claim R1 demands much fewer resources, lowering training costs. This has caused investor concerns, resulting in a nearly $600 billion drop in Nvidia’s market value after R1’s success was announced.
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The DeepSeek R1 model on Azure AI Foundry allows developers to quickly experiment with and integrate AI into their projects. Asha Sharma, Microsoft’s VP of AI platform, highlighted the model’s speed in AI development. It has also passed extensive safety reviews, including automated checks and red teaming, to minimize risks before application use.
DeepSeek’s R1, released as an open-source model earlier this month, is now available on Microsoft platforms. Microsoft is also developing a smaller version of R1 that can be run locally on Copilot Plus PCs, enabling users to use the model without cloud resources for better accessibility.
DeepSeek’s R1 model integration into Microsoft’s platforms marks the start of a new era. It enables more affordable AI model training, making AI development accessible and cost-effective for more users. As this technology evolves, it may transform AI application development and disrupt the current market.
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