{"id":229770,"date":"2025-03-05T01:18:59","date_gmt":"2025-03-05T01:18:59","guid":{"rendered":"https:\/\/globetimeline.com\/ar\/tech\/rewrite-this-title-in-arabic-the-us-has-spurred-the-chinese-chip-industry\/"},"modified":"2025-03-05T01:18:59","modified_gmt":"2025-03-05T01:18:59","slug":"rewrite-this-title-in-arabic-the-us-has-spurred-the-chinese-chip-industry","status":"publish","type":"post","link":"https:\/\/globetimeline.com\/ar\/tech\/rewrite-this-title-in-arabic-the-us-has-spurred-the-chinese-chip-industry\/","title":{"rendered":"rewrite this title in Arabic The US has spurred the Chinese chip industry"},"content":{"rendered":"<p>Summarize this content to 2000 words in 6 paragraphs in Arabic Unlock the Editor\u2019s Digest for freeRoula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter.Nvidia is facing its first real competitor in China. US export controls, designed to cut off China\u2019s access to advanced chips and chipmaking gear, were supposed to ensure that no domestic rival could emerge. But the very sanctions meant to shut down China\u2019s chipmaking sector have instead fuelled it, accelerating the rise of an unexpected challenger: Huawei.The paradox is clear \u2014 had the US never imposed chip export bans, the Chinese conglomerate would have continued to rely on Taiwan Semiconductor Manufacturing Company for its chips. Chinese chips would have probably remained second-tier, reliant on foreign technology with little urgency to innovate. Instead, by sanctioning Huawei and cutting it off from advanced US chips, Washington has become the greatest driver of the technological self-sufficiency it sought to prevent.Huawei together with Chinese chipmaker SMIC \u2014 which is also under US sanctions \u2014 has made a key breakthrough in chipmaking, improving the yield of its latest AI chips to about 40 per cent, doubling from 20 per cent a year ago.Yield, the percentage of functional chips in a batch without defects, is a critical metric in chipmaking. Defects in chips are inevitable, especially in advanced chips. Shrinking transistor sizes and complex chip designs raise failure rates. Even slight variations in production and impurities in materials can cause malfunctions. Advanced chips are built in multiple layers, where misalignments add another layer of risk.\u00a0Therefore, yields of between 30 and 40 per cent are common for new chip production lines, improving significantly as manufacturing is refined. Huawei reaching this crucial threshold \u2014 despite limited access to advanced fabrication tools \u2014 marks a turning point for its AI chip business, with the higher yields making its production line profitable for the first time.Challenges remain. Nvidia\u2019s dominance is reinforced by its deeply entrenched software ecosystem and developer base, making a shift to alternatives difficult. Meanwhile, local chipmakers\u2019 access to advanced manufacturing gear remains limited, meaning less efficient fabrication. Performance is another concern. Critics argue that Huawei\u2019s chips lag behind Nvidia\u2019s in performance per unit.However, a fundamental shift in the AI sector could work in Huawei\u2019s favour. AI can be categorised into two markets: training \u2014 where AI models are created; and inference \u2014 where they are deployed to generate real-world responses. While training happens once, inference happens billions of times in real-world use. This shift towards inference-heavy workloads marks the next stage of competition for chip companies.For example, creating AI models such as OpenAI\u2019s GPT-4 uses high-performance training chips. But once trained, deploying it to users requires a far greater number of lower-power inference chips. As AI inference becomes more prevalent, demand for cost-efficient chips will increase.\u00a0In China, where AI chips are in short supply, Huawei may have an edge despite trailing Nvidia in performance. Scaling up the number of chips could help bridge this gap. Parallel processing allows multiple chips to work together, distributing the workload and combining results for the final output.Chinese tech giants such as Baidu and ByteDance are shifting to Huawei\u2019s AI chips for deep-learning workloads, potentially setting a precedent for other countries seeking non-Nvidia alternatives.But the broader battle over chips extends far beyond Huawei. China, the largest chip consumer in the world, is a market Nvidia cannot afford to lose. Analysts estimate that last year alone, Nvidia made $12bn from 1mn H20 AI chips sold to China. That a single product generated revenue equivalent to nearly a tenth of the company\u2019s annual total underscores how critical the Chinese market remains to Nvidia.Yet Washington\u2019s greatest miscalculation may not be underestimating China\u2019s chipmaking capabilities, but rather overlooking the forces that drive technological progress. History has shown that every industrial power that has tried to suppress a rival\u2019s technological rise has, at best, delayed it \u2014 and at worst, accelerated it. Chips are no exception. The chip war is far from over, but in the long run, the US may have ensured that it is a war China cannot lose.june.yoon@ft.com<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Summarize this content to 2000 words in 6 paragraphs in Arabic Unlock the Editor\u2019s Digest for freeRoula Khalaf, Editor of the FT, selects her favourite stories in this weekly newsletter.Nvidia is facing its first real competitor in China. US export controls, designed to cut off China\u2019s access to advanced chips and chipmaking gear, were supposed<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[63],"tags":[],"class_list":{"0":"post-229770","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-tech"},"_links":{"self":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts\/229770","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/comments?post=229770"}],"version-history":[{"count":0,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/posts\/229770\/revisions"}],"wp:attachment":[{"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/media?parent=229770"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/categories?post=229770"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/globetimeline.com\/ar\/wp-json\/wp\/v2\/tags?post=229770"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}