{"id":165392,"date":"2025-08-26T06:21:45","date_gmt":"2025-08-26T06:21:45","guid":{"rendered":"https:\/\/teknomers.com\/en\/deepseek-has-indicated-that-nvidia-chips-are-no-longer-needed-we-believe-we-know-whos-purchasing-them\/"},"modified":"2025-08-26T06:21:47","modified_gmt":"2025-08-26T06:21:47","slug":"deepseek-has-indicated-that-nvidia-chips-are-no-longer-needed-we-believe-we-know-whos-purchasing-them","status":"publish","type":"post","link":"https:\/\/teknomers.com\/en\/deepseek-has-indicated-that-nvidia-chips-are-no-longer-needed-we-believe-we-know-whos-purchasing-them\/","title":{"rendered":"Deepseek has indicated that Nvidia chips are no longer needed. We believe we know who&#8217;s purchasing them."},"content":{"rendered":"\n<p>In early 2025, \u00a0Deepseek\u00a0 emerged as a significant player in the artificial intelligence (AI) industry, creating waves by introducing a model that garnered immense attention. Developed by the specialized quantitative coverage fund \u00a0High-Flyer\u00a0, Deepseek was lauded for being a powerful AI solution that was \u00a0free of charge\u00a0, rivaling established giants like \u00a0OpenAI\u00a0 and \u00a0Google\u00a0. However, this AI breakthrough prompted intense debate surrounding the \u00a0hardware\u00a0 used in its development.<\/p>\n<p><!-- BREAK 1 --> <\/p>\n<p>High-Flyer, known for utilizing advanced mathematical models and computational algorithms in investment decisions, claimed to have trained \u00a0Deepseek R1\u00a0 using 2,048 \u00a0NVIDIA H800\u00a0 chips. However, analysts quickly challenged this assertion, suggesting that the figure was inflated. Many speculated that the actual number of \u00a0NVIDIA H100\u00a0 GPUs employed was closer to \u00a050,000\u00a0, a more powerful model acquired through various intermediaries. It\u2019s worth noting that U.S. sanctions currently restrict \u00a0NVIDIA\u00a0 from supplying chips to Chinese companies. Thus, speculation has arisen about how Deepseek will manage to develop its next iteration without relying on this American manufacturer.<\/p>\n<p><!-- BREAK 2 --><\/p>\n<h2>The Search for Alternative Hardware Solutions<\/h2>\n<p>In a revealing post on the \u00a0WeChat\u00a0 platform, the team behind Deepseek hinted that the next generation of \u00a0GPUs\u00a0 in China would be unveiled soon. This announcement sent ripples of speculation through the industry regarding which Chinese company would make this vital hardware available. Importantly, many believe that \u00a0High-Flyer\u00a0 is preparing for a future iteration of Deepseek using these upcoming chips. Given the current trajectory of the Chinese tech sector, this assessment doesn\u2019t seem implausible.<\/p>\n<p><!-- BREAK 3 -->  <\/p>\n<div class=\"article-asset article-asset-normal article-asset-center\">\n<div class=\"desvio-container\">\n<div class=\"desvio\">\n<div class=\"desvio-figure js-desvio-figure\"><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/div>\n<p>According to the \u00a0South China Morning Post (SCMP)\u00a0, there are five major GPU designers in China capable of supplying the necessary hardware for \u00a0High-Flyer\u00a0. These include \u00a0Huawei Technologies\u00a0, \u00a0Cambricon Technologies\u00a0, \u00a0Moore Threads\u00a0, \u00a0Hygon Information Technology\u00a0, and \u00a0Metax Integrated Circi\u00a0. Any of these firms could potentially be the one to fulfill Deepseek\u2019s upcoming hardware needs, but we lean towards the first three due to their existing capabilities and infrastructure.<\/p>\n<p><!-- BREAK 4 --><\/p>\n<div class=\"article-asset-summary article-asset-small article-asset-right\">\n<div class=\"asset-content\">\n<p class=\"sumario_derecha\">Cambricon Technologies stands out as a promising firm in the AI GPU sector.<\/p>\n<\/p><\/div>\n<\/div>\n<p>Among these contenders, \u00a0Cambricon Technologies\u00a0 has emerged as a notable player specializing in AI GPU design. While it may not hold the same widespread recognition as \u00a0Huawei\u00a0 or \u00a0Moore Threads\u00a0, it has shown substantial growth potential. Recently, Cambricon secured authorization from the \u00a0Shanghai Stock Exchange\u00a0 to raise \u00a0$560 million\u00a0 aimed at the development of four chips tailored for training and inferring AI models. Furthermore, they plan to develop an alternative to NVIDIA\u2019s \u00a0CUDA\u00a0 platform, targeting a growing niche.<\/p>\n<p><!-- BREAK 5 --><\/p>\n<p>\u00a0Moore Threads\u00a0 has also made significant strides in the AI hardware market by introducing several GPUs that compete with offerings from \u00a0NVIDIA\u00a0, \u00a0AMD\u00a0, and \u00a0Huawei\u00a0. Their most notable products include the \u00a0MTT S4000\u00a0 and \u00a0MTT S3000\u00a0 cards. Interestingly, they have also developed the \u00a0MTT S80\u00a0, which focuses on gaming and content creation, boasting a performance capability of \u00a014.4 Tflops\u00a0 in single-precision floating-point operations. These advancements illustrate just how competitive the landscape has become.<\/p>\n<p><!-- BREAK 6 --> <\/p>\n<p>It\u2019s difficult to overlook \u00a0Huawei\u00a0, another essential player in the realm of AI chips. Currently, their flagship product is the \u00a0Ascend 910D\u00a0 chip, designed to outperform NVIDIA&#8217;s H100 GPU. Additionally, the recent unveiling of the \u00a0Ascend 920\u00a0 chip indicates Huawei&#8217;s commitment to capitalizing on gaps left by NVIDIA&#8217;s plans in the Chinese market. This ambitious solution is projected to enter large-scale production in the latter half of 2025 and utilizes \u00a06nm integration technology\u00a0 developed in collaboration with \u00a0Semiconductor Manufacturing International Corporation (SMIC)\u00a0.<\/p>\n<p><!-- BREAK 7 --><\/p>\n<p>As the tech landscape evolves, industry watchers remain keenly interested in the progress of Deepseek and its implications for AI development, especially in light of \u00a0U.S. tech restrictions\u00a0 and China\u2019s ongoing efforts to bolster its domestic tech capabilities. Maintaining innovation will be paramount, fueling healthy competition in the global AI market.<\/p>\n<p>Deepseek\u2019s journey stands as a testament to the power of innovation, collaboration, and the ability to adapt in a rapidly changing environment. As hardware solutions become increasingly critical to AI&#8217;s future, the stakes are higher than ever. Only time will tell how these developments will shape the landscape of artificial intelligence across the globe.<\/p>\n<p><br \/>\n<br \/><a href=\"https:\/\/teknomers.com\/category\/general\/\" rel=\"dofollow\">General News &#8211; 2<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In early 2025, \u00a0Deepseek\u00a0 emerged as a significant player in the artificial intelligence (AI) industry, creating waves by introducing a model that garnered immense attention. Developed by the specialized quantitative coverage fund \u00a0High-Flyer\u00a0, Deepseek was lauded for being a powerful AI solution that was \u00a0free of charge\u00a0, rivaling established giants like \u00a0OpenAI\u00a0 and \u00a0Google\u00a0. However, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":165196,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36399],"tags":[10052,38871,390,9872,20230,1563,18251],"class_list":["post-165392","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-chips","tag-deepseek","tag-longer","tag-needed","tag-nvidia","tag-purchasing","tag-whos"],"_links":{"self":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/165392","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/comments?post=165392"}],"version-history":[{"count":0,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/posts\/165392\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/media\/165196"}],"wp:attachment":[{"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/media?parent=165392"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/categories?post=165392"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/teknomers.com\/en\/wp-json\/wp\/v2\/tags?post=165392"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}