China is trying to jump ahead in the artificial intelligence (AI) race in the world. But the controversy surrounding Nvidia CEO Jensen Huang could now add to China’s woes. The reason for this is not only the leadership crisis at Nvidia, but also the possibility of further tightening by the US government on the supply of AI chips to China. Interestingly, China’s AI industry could be hurt the most by increased pressure on Nvidia. China may be developing its own chip technology, but it still needs Nvidia’s advanced chips and computing power.
Why does China need Nvidia?
Building AI models requires very powerful computer chips. Nvidia’s GPU chips are used worldwide for this purpose. Big Chinese tech companies are also busy developing AI models. Alibaba, ByteDance and other companies need massive computing capacity. The US has already banned the sale of the most advanced Nvidia chips to China. Despite this, Chinese companies are accessing Nvidia’s computing capacity through data centers in other countries and other avenues.
How did the Jensen Huang controversy become a problem for China?
The alleged spying controversy involving Nvidia’s Jensen Huang has drawn the attention of US officials and lawmakers to the company’s China business. According to media reports, allegations have surfaced that Nvidia chips worth about $7.5 billion are being channeled to Chinese companies through Singaporean company Megaspeed International. Investigations and questions are being raised in this matter. The parties concerned have denied allegations of wrongdoing. Now there may be a strong demand in America that all possible routes of chips reaching China should be closed. If this happens, it may become more difficult for Chinese companies to acquire advanced AI computing.
Even Huawei is not fully prepared
China is busy strengthening its domestic chip industry. Huawei is a big company in this direction. But production of advanced chips is still not enough compared to domestic demand. This is why it won’t be easy for Chinese AI companies to find an immediate alternative due to further restrictions on Nvidia’s supply. However, in the long run, this could encourage China to develop its own domestic chip technology.
Also pressure on companies creating AI models
The impact of the Nvidia dispute may not be limited to chips. Jensen Huang is also a proponent of open-source and open-weight AI models. Many Chinese AI companies are working on developing such models, which other developers can use and modify as per their needs. If the US tightens restrictions on Chinese AI models and their technology, it may become difficult for these companies to do business in the international market.
Will China be left behind in the AI race?
The biggest challenge for China is to reduce its dependence on American technology on the one hand, while on the other hand it has to keep pace with its AI industry. Controversy surrounding Nvidia may make this transition more difficult. If the US tightens restrictions on chip supply and computing facilities provided by foreign data centers, costs for Chinese companies could rise and the pace of new AI projects could slow. That means Nvidia’s crisis isn’t just an American company’s problem. This could also affect the global competition in AI between the US and China. Currently, the biggest challenge for China is to create alternatives to Nvidia and grow its AI industry unhindered.
