It looks like China is playing nice with Nvidia for the sake of DeepSeek. Two people familiar with the matter told Reuters that China has given its top AI startup DeepSeek approval to buy Nvidia’s H200 artificial intelligence chips with regulatory conditions that are still being finalised.
Reuters reported on Wednesday, citing sources, that ByteDance, Alibaba and Tencent had been given permission to purchase more than 400,000 H200 chips in total.
Nvidia CEO Jensen Huang told reporters in Taipei on Thursday that his company had not received such information, he added that he believed that China was still finalising the licence.
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The H200 is among Nvidia’s most powerful AI chips and is designed for large-scale model training and inference, making it particularly valuable for companies competing at the forefront of artificial intelligence development.
Allowing DeepSeek to acquire these chips suggests that Chinese authorities recognize the strategic importance of keeping domestic AI firms competitive, even as global restrictions on advanced semiconductors tighten.
At the same time, the conditional nature of the approval reflects broader regulatory and political considerations. Chinese regulators are reportedly coordinating across multiple agencies, and the final terms may impose limits on usage, deployment, or data handling. The approval process also intersects with U.S. export controls, meaning that both Chinese and American authorities ultimately influence whether transactions can proceed.
The move illustrates how access to cutting-edge AI hardware has become a strategic issue rather than a purely commercial one. Decisions around chip sales now carry implications for national competitiveness, technological self-sufficiency, and the evolving balance of power in the global AI race.
Reuters reported on Wednesday that a senior U.S lawmaker had alleged that Nvidia had helped DeepSeek hone artificial intelligence models that were later used by the Chinese military, according to a letter sent to U.S. Commerce Secretary Howard Lutnick.
The situation highlights how advanced technology and geopolitics are increasingly intertwined, with access to cutting-edge AI hardware becoming a key strategic concern.
Semiconductor and AI chips are no longer just commercial products; they are critical tools that can influence national competitiveness, innovation capacity, and even defense capabilities. As a result, regulatory frameworks, both domestic and international, play a central role in determining which companies and countries can benefit from the latest advancements.
The conditional approvals and ongoing licensing processes demonstrate that governments are actively managing technological flows to balance economic growth, strategic advantage, and security considerations.
Decisions regarding who can access high-performance AI hardware have implications not only for individual firms but also for broader industrial ecosystems, research collaboration, and international competitiveness.
This case also underscores the growing complexity of cross-border technology governance. Regulatory decisions now involve multiple stakeholders, and the exact timing and terms of approvals may change, all of whom influence the pace and scope of innovation.
Companies developing or acquiring advanced AI capabilities must now operate in an environment shaped not only by market forces but also by political oversight, export controls, and national security priorities.
Firms that can navigate these complexities successfully may gain a competitive advantage, while those that encounter regulatory delays or restrictions could face setbacks. This dynamic underscores that the evolution of AI and high-performance computing is no longer a purely technical race; it is equally a matter of governance, strategy, and the careful management of global interdependencies.