{"id":962885,"date":"2025-09-19T10:04:44","date_gmt":"2025-09-19T04:34:44","guid":{"rendered":"https:\/\/telecomlive.in\/web\/?p=962885"},"modified":"2025-09-19T11:31:16","modified_gmt":"2025-09-19T06:01:16","slug":"chinas-deepseek-says-r1-model-trained-for-just-294000-using-nvidia-h800-chips","status":"publish","type":"post","link":"https:\/\/telecomlive.in\/web\/2025\/09\/19\/chinas-deepseek-says-r1-model-trained-for-just-294000-using-nvidia-h800-chips\/","title":{"rendered":"China\u2019s DeepSeek says R1 model trained for just $294,000, using Nvidia H800 chips"},"content":{"rendered":"<p>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&#8217;s place in the race to develop artificial intelligence.<\/p>\n<p>The rare update from the Hangzhou-based company &#8211; the first estimate it has released of R1&#8217;s training costs &#8211; appeared in a peer-reviewed article in the academic journal Nature published on Wednesday.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>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&#8217;s place in the race to develop artificial intelligence. The rare update from the Hangzhou-based company &#8211; the first estimate it has released of R1&#8217;s training costs &#8211; appeared in a peer-reviewed article in the academic journal Nature published on Wednesday.<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[83,4,22],"tags":[],"class_list":["post-962885","post","type-post","status-publish","format-standard","hentry","category-it-2-the-telegraph","category-newspapers","category-the-telegraph"],"acf":[],"_links":{"self":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts\/962885","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/comments?post=962885"}],"version-history":[{"count":0,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts\/962885\/revisions"}],"wp:attachment":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/media?parent=962885"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/categories?post=962885"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/tags?post=962885"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}