The Deepseek R1 model is transforming the artificial intelligence (AI) landscape with its innovative reasoning capabilities, open-source framework, and

Hugging Face developers are working to reconstruct Deepseek-R1 from scratch; Open-R1 will be 100% open source.

While DeepSeek can point to common benchmark results and Chatbot Arena leaderboard to prove the competitiveness of its model, there's nothing like direct use cases to get a feel for just how useful a new model is.

Deepseek R1 just dropped, and it’s shaking up the AI world in a way we haven’t seen since the launch of ChatGPT. In this video, I’ll break it down in the simplest way possible—especially if you're new to AI.

Are DeepSeek V3 and R1 the next big things in AI? How this Chinese open-source chatbot outperformed some big-name AIs in coding tests, despite using vastly less infrastructure than its competitors.

Learn how to run Deepseek R1 671b locally, optimize performance, and explore its open-source AI potential for advanced local inference.

B AI model on its wafer-scale processor, delivering 57x faster speeds than GPU solutions and challenging Nvidia's AI chip dominance with U.S.-based inference processing.

Development on the first DeepSeek R1 clone might have started with the announcement of the Open-R1 open-source project.

AWS partners with DeepSeek to add the AI startup’s R1 foundational model to its GenAI technology inside Amazon Bedrock and SageMaker solutions.

Microsoft makes DeepSeek locally available on Copilot+ PCs. Model to arrive first on Qualcomm Snapdragon X processors — Intel and AMD chips to follow.

Microsoft has announced that, following the arrival of DeepSeek R1 on Azure AI Foundry, you'll soon be able to run an NPU-optimized version of DeepSeek’s AI on your Copilot+ PC. This feature will roll out first to Qualcomm Snapdragon X machines, followed by Intel Core Ultra 200V laptops, and AMD AI chipsets.