{"id":682452,"date":"2026-07-09T14:33:14","date_gmt":"2026-07-09T14:33:14","guid":{"rendered":"https:\/\/www.newsbeep.com\/uk\/682452\/"},"modified":"2026-07-09T14:33:14","modified_gmt":"2026-07-09T14:33:14","slug":"deepseek-makes-pivot-that-should-put-silicon-valley-on-high-alert","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/uk\/682452\/","title":{"rendered":"DeepSeek makes pivot that should put Silicon Valley on high alert"},"content":{"rendered":"<p><a href=\"https:\/\/www.proactiveinvestors.co.uk\/companies\/news\/1094022\/us-approved-deepseek-for-its-trade-blacklist-then-sat-on-it-for-eight-months-1094022.html\" rel=\"nofollow noopener\" target=\"_blank\">DeepSeek<\/a>, the Hangzhou-based artificial intelligence startup, is designing its own chip, three people familiar with the matter say.<\/p>\n<p>The move would reduce its dependence on Nvidia, the dominant American chipmaker, and on Huawei, the Chinese technology group whose Ascend processors it now leans on.<\/p>\n<p>Understanding why matters more than the announcement itself, because the choice reveals how China&#8217;s AI industry is adapting to being cut off from the best hardware.<\/p>\n<p>Why inference, not training<\/p>\n<p>The first clue is what kind of chip <a href=\"https:\/\/techdefused.com\/a\/37uWtTg\/why-deepseek-wants-its-own-chip-and-why-china-may-be-well-placed-to-build-it\" rel=\"nofollow noopener\" target=\"_blank\">DeepSeek is building.<\/a> It is targeting inference, the stage where a trained model answers user queries, rather than training, the far more demanding process of building a model in the first place.<\/p>\n<p>That distinction is the heart of the strategy. Training is where Nvidia&#8217;s lead is widest, thanks to its software, its high-speed chip-to-chip connections and its access to the most advanced manufacturing.<\/p>\n<p>It is also where United States export controls bite hardest, because building competitive training chips requires cutting-edge lithography that Chinese factories cannot yet match.<\/p>\n<p>Inference is an easier target. It is more forgiving on the manufacturing process, meaning a chip built on an older, more widely available production method can still be competitive.<\/p>\n<p>It is also acutely sensitive to serving cost, the price of answering each individual query, which is exactly the metric a specialised chip can improve.<\/p>\n<p>Every interaction with an AI assistant requires inference, so demand for this kind of computing is growing quickly and rewards whoever can run it cheaply.<\/p>\n<p>A pricing war extended into silicon<\/p>\n<p>Controlling its own inference hardware would extend a strategy DeepSeek has already pursued through pricing. In May, it cut the price of its V4-Pro model by 75%, dropping the top rate to under $0.85 per million tokens from $3.30.<\/p>\n<p>A purpose-built chip that lowers the cost of running its models would let it push those prices lower still.<\/p>\n<p>Where China holds an edge<\/p>\n<p>This is where Chinese firms may hold an inherent advantage. DeepSeek designs both the model and, now, the chip that runs it, allowing the two to be tuned together in a way that general-purpose hardware cannot easily match.<\/p>\n<p>The company has built its reputation on squeezing strong performance from constrained resources, a discipline forced on it by limited access to top chips.<\/p>\n<p>Around a recent model release, it said it had used a data format well suited to home-grown chips soon to be released, hinting at exactly this co-design approach.<\/p>\n<p>The scale of domestic demand reinforces the case. Chinese firms plan to shift 46% of their AI-accelerator budgets to domestic suppliers within a year, according to industry estimates.<\/p>\n<p>Nvidia&#8217;s position in China has collapsed under export restrictions, leaving a large captive market for whoever can supply credible local alternatives.<\/p>\n<p>Beijing has been pressing its technology champions to build those alternatives, adding political tailwinds to the commercial logic.<\/p>\n<p>When DeepSeek optimised its V4 model for Huawei&#8217;s Ascend chips in April 2026, it set off a buying rush, with ByteDance, Tencent and Alibaba all approaching Huawei for orders.<\/p>\n<p>That episode showed both the appetite for domestic hardware and DeepSeek&#8217;s power to shape which chips the market adopts.<\/p>\n<p>The hard limits<\/p>\n<p>The obstacles, however, are substantial. Designing a competitive inference chip demands years of engineering and large amounts of capital, neither of which guarantees success.<\/p>\n<p>US curbs restrict Chinese access to leading-edge foundries, the factories that fabricate chips, and to high-bandwidth memory, the fast memory that AI accelerators need to perform well.<\/p>\n<p>Those constraints cap how advanced DeepSeek&#8217;s chip can be and how many it can produce.<\/p>\n<p>Some analysts are sceptical it can sell silicon beyond China without access to the most advanced manufacturing, limiting the venture to the home market.<\/p>\n<p>The chip push coincides with DeepSeek&#8217;s first planned outside funding, a maiden round that Reuters reported would raise $7 billion at a valuation between $52 billion and $59 billion.<\/p>\n<p>That capital would help fund a long and uncertain bet, one that reflects both the pressure of export controls and the particular strengths China is trying to build around them.<\/p>\n","protected":false},"excerpt":{"rendered":"DeepSeek, the Hangzhou-based artificial intelligence startup, is designing its own chip, three people familiar with the matter say.&hellip;\n","protected":false},"author":2,"featured_media":682453,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[554,733,4308,86,56,54,55],"class_list":["post-682452","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-technology","tag-uk","tag-united-kingdom","tag-unitedkingdom"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/682452","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=682452"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/682452\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/682453"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=682452"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=682452"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=682452"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}