Chinese AI developer DeepSeek said it spent $294,000 on training its R1 model, much lower than figures reported for U.S. rivals, in a paper that is likely to reignite debate over Beijing’s place in the race to develop artificial intelligence. The rare update from the Hangzhou-based company – the first estimate it has released of R1’s training costs – appeared in a peer-reviewed article in the academic journal Nature published on Wednesday. DeepSeek’s release of what it said were lower-cost AI systems in January prompted global investors to dump tech stocks as they worried the new models could threaten the dominance of AI leaders including Nvidia. Since then, the company and founder Liang Wenfeng have largely disappeared from public view, apart from pushing out a few new product updates. The Nature article, which listed Liang as one of the co-authors, said DeepSeek’s reasoning-focused R1 model cost $294,000 to train and used 512 Nvidia H800 chips. A previous version of the article published in January did not contain this information.

Full report : In a peer-reviewed Nature article update, DeepSeek says it spent $294K on training its reasoning-focused R1 model and used 512 Nvidia H800 chips for 80 hours.