DeepSeek triggered an "avalanche-level" buzz on overseas social media after releasing DeepInfer, a production-grade inference framework that lets its models run at extremely high efficiency, Global Times reported on October 22. On October 20 the company open-sourced the technology, which it said aims to "help the industry ecosystem lower computing costs and energy use and make AI more inclusive and accessible."
Bloomberg noted that such compute-saving, higher-output technology is usually "strictly confidential" for AI firms, yet DeepSeek — already having open-sourced its models and kernel — released this core piece as well. The outlet analyzed that DeepInfer can raise margins for AI hosting providers running DeepSeek models and lower the cost of running the models locally for enterprises.
Even though DeepInfer mainly optimizes DeepSeek's own models, its open release lets other developers harvest useful ideas for their own inference architectures. The move comes as U.S. closed models raise prices and barriers, sharpening the contrast with China's open-source AI philosophy.
From the U.S. to India, AI users flooded DeepSeek's posts with praise for the company and China's AI approach, with one European practitioner summing up the significance in a meme. The episode underscores how open-source strategy is reshaping global AI mindshare.
Source: Global Times / Bloomberg
