That's what they claim at least in the paper but that particular claim is not verifiable. The HAI-LLM framework they reference in the paper is not open sourced and it seems they have no plans to.
Additionally there are claims, such as those by Scale AI CEO Alexandr Wang on CNBC 1/23/2025 time segment below, that DeepSeek has 50,000 H100s that "they can't talk about" due to economic sanctions (implying they likely got by avoiding them somehow when restrictions were looser). His assessment is that they will be more limited moving forward.
It's amazing how different the standards are here. Deepseek's released their weights under a real open source license and published a paper with their work which now has independent reproductions.
OpenAI literally haven't said a thing about how O1 even works.
DeepSeek the holding company is called high-flyer, they actually do open source their AI training platform as well, here is the repo: https://github.com/HFAiLab/hai-platform
They can be more open and yet still not open source enough that claims of theirs being unverifiable are still possible. Which is the case for their optimized HAI-LLM framework.
Additionally there are claims, such as those by Scale AI CEO Alexandr Wang on CNBC 1/23/2025 time segment below, that DeepSeek has 50,000 H100s that "they can't talk about" due to economic sanctions (implying they likely got by avoiding them somehow when restrictions were looser). His assessment is that they will be more limited moving forward.
https://youtu.be/x9Ekl9Izd38?t=178