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Aug. 13, 2025, 10:35 a.m.
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China Warns Tech Giants Over Nvidia H20 AI Chips Amid National Security Concerns

Brief news summary

Chinese authorities have warned major tech companies such as Tencent, ByteDance, and Baidu about their use of Nvidia’s H20 AI chips, expressing concerns over national security and data privacy. The Cyberspace Administration of China (CAC) has criticized the dependence on foreign AI chips and urged firms to switch to domestic alternatives, fearing that Nvidia’s compliance with U.S. export controls might compromise sensitive Chinese data. Although no formal ban is in place, the use of Nvidia chips in government projects is discouraged, and some chip purchases have been paused. Nvidia maintains that the H20 chip is not designed for military use and emphasizes that Chinese government operations seldom rely on U.S.-made chips. In response, China is intensifying efforts to develop its own AI chips, led by Huawei despite facing U.S. sanctions limiting access to critical manufacturing technology. Meanwhile, former U.S. President Trump is reportedly considering permitting limited sales of Nvidia’s advanced Blackwell chips to China through revenue-sharing agreements. These developments underscore the ongoing geopolitical and economic tensions impacting AI technology progress and U.S.-China trade relations.

Chinese authorities have recently issued warnings to major domestic technology firms—including Tencent, ByteDance, and Baidu—regarding their procurement of Nvidia’s H20 artificial intelligence (AI) chips. The Cyberspace Administration of China (CAC), responsible for overseeing online affairs and data security, expressed serious concerns about national security and data privacy risks tied to these advanced U. S. -imported chips. The CAC questioned why these companies opted for foreign AI chips like Nvidia’s H20 instead of domestic alternatives, highlighting potential vulnerabilities from sharing sensitive customer data with Nvidia. Since Nvidia must provide such data to U. S. regulators to comply with American export controls and sanctions, there is fear that private information could be exposed or exploited, threatening national security. Despite these concerns, no formal ban has yet been enforced on Chinese companies acquiring or using Nvidia’s H20 chips. Nvidia clarified that the H20 chip is neither designed nor optimized for military or government uses and noted that Chinese government functions typically do not rely on U. S. -made chips, distinguishing civilian commercial use from government dependence on foreign technology. Media outlets such as Bloomberg and The Information reported that China has discouraged using H20 chips for government projects and in some cases ordered halts or suspensions of current purchases due to unresolved data security issues. This increased scrutiny poses significant challenges to Nvidia’s growth in China, which accounted for about $17 billion—13 percent of Nvidia’s total revenue—in the recent fiscal year. In response, China is accelerating efforts to strengthen its domestic AI chip manufacturing, with companies like Huawei leading the initiative to produce indigenous chips competitive with global products.

However, U. S. sanctions restricting access to crucial semiconductor manufacturing equipment have slowed progress despite substantial Chinese investment. Concurrently, political factors in the U. S. might affect technology trade: reports suggest former President Donald Trump may approve limited sales of Nvidia’s upcoming Blackwell series chips to China, potentially involving a revenue-sharing deal with the U. S. government. This reflects an attempt to balance national security concerns with commercial interests. Overall, this situation highlights the complex intersection of geopolitics, technology, and economic strategy within the rapidly evolving AI industry. As China intensifies regulation of foreign technology imports and promotes self-reliance in critical sectors, companies like Nvidia face a challenging environment shaped by regulatory, political, and technical pressures. The outcomes will significantly impact the involved companies and influence the future path of AI innovation and international technology cooperation.


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