Heaptalk, Jakarta — Microsoft announced the availability of DeepSeek R1 on its cloud platform Azure AI Foundry, adding to over 1,800 models, including frontier, open-source, industry-specific, and task-based AI models.
DeepSeek claimed R1 offers a robust, cost-efficient model that allows more users to harness state-of-the-art AI capabilities with minimal infrastructure investment. One key advantage of using this large language model 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 compare outputs, benchmark performance, and scale AI-powered applications.
“This rapid accessibility—once unimaginable just months ago—is central to our vision for Azure AI Foundry: bringing the best AI models together in one place to accelerate innovation and unlock new possibilities for enterprises worldwide,” stated Asha Sharma, Corporate Vice President at Microsoft AI Platform (01/29).
Undergone rigorous red teaming and safety evaluations
The tech giant decided to add the Chinese-made AI model to its cloud platform, aiming to enable customers to build production-ready AI applications swiftly while maintaining the highest levels of safety and security. Sharma affirmed that R1 has undergone rigorous red teaming and safety evaluations, including automated assessments of model behavior and extensive security reviews to mitigate potential risks.
With Azure AI Content Safety, built-in content filtering is available by default, with opt-out options for flexibility. Sharma added, “Additionally, the Safety Evaluation System allows customers to efficiently test their applications before deployment. These safeguards help Azure AI Foundry provide a secure, compliant, and responsible environment for enterprises to confidently deploy AI solutions.”
DeepSeek R1 is now available via a serverless endpoint through the model catalog in Azure AI Foundry. Developers can also access the large language model on GitHub to explore additional resources. Soon, developers will be able to use distilled flavors of the DeepSeek R1 model to run locally on their Copilot+ PCs.
