The AI ​​chip war escalates: Nvidia's nightmare? China strikes back with its own AI chips – and Alibaba is just the beginning

Completely independent of the USA: Alibaba's new AI chip is a challenge to Nvidia

China is intensifying its efforts to become independent of Western technology suppliers, developing its own alternatives to the dominant American AI chips. At the heart of this strategic realignment is not only the state-backed technology company Huawei, but also private companies like the e-commerce giant Alibaba, which is now unveiling its own AI chip produced entirely in China.

Alibaba's breakthrough in chip development

Alibaba, China's largest cloud provider and one of Nvidia's key customers, has developed a new versatile AI chip specifically designed for inference tasks. This chip differs from previous models in that it is manufactured entirely in China, whereas earlier versions were produced by the Taiwan Semiconductor Manufacturing Company (TSMC) in Taiwan.

The new chip is designed to support a wide range of AI applications, including pre-trained models such as voice assistants and other intelligent systems. Alibaba plans to use both its own chips and continue to use processors from other vendors like Nvidia to pursue a balanced strategy.

This development is directly related to the company's massive investments in AI infrastructure. Alibaba has announced plans to invest at least 380 billion yuan (approximately US$53.1 billion) over the next three years in building cloud and AI hardware infrastructure. These investments are already paying off: Alibaba's cloud business has seen annual revenue growth of 26 percent, with AI-related product revenues showing triple-digit growth for the eighth consecutive month.

The tightened export restrictions of the USA

The development of domestically produced Chinese chips is taking place against a backdrop of increasingly restrictive US export controls. While certain Nvidia chips, such as the H20 model, have been permitted to be sold to China again since July 2025, Beijing has banned their use, citing security concerns. Chinese authorities have expressed concerns about potential backdoors built into the chips that could allow foreign governments remote access or shutdowns.

The US has continuously tightened its control measures. TSMC was ordered to cease supplying chips with feature sizes of 7 nanometers or smaller to Chinese companies. Additionally, American chip manufacturers like Nvidia and AMD must pay 15 percent of their revenue from business in China to the US government.

These restrictions not only affect individual companies but also have systemic consequences for the global semiconductor supply chain. Trump has already announced tariffs of up to 125 percent on Chinese goods and is considering additional tariffs on semiconductors and other technology products.

China's broad chip offensive

Besides Alibaba, other Chinese companies are pushing into the AI ​​chip market. Shanghai-based startup MetaX unveiled a chip designed to replace Nvidia's H2O model, offering higher memory performance but consuming more energy. The company is already preparing for mass production and reported revenue of 743 million yuan and a loss of 1.4 billion yuan for 2024.

Moore Threads, another emerging Beijing-based company, is planning IPOs with MetaX totaling $1.65 billion. Both companies were founded in 2020 by former executives of American chip manufacturers and are benefiting from geopolitical tensions that are forcing domestic customers to turn to Chinese GPU products.

Huawei, the state-backed technology company, has already achieved considerable success with its Cloudmatrix chip cluster. The system connects 384 Ascend AI chips and surpasses Nvidia's NVL72 chip cluster in some areas while consuming less power. The new Ascend 910C chip is expected to be on par with Nvidia's A100.

Challenges in domestic production

Despite the progress, significant hurdles remain. Chinese factories cannot yet compete with the most advanced US or Taiwanese manufacturing technology. Companies therefore resort to older methods or combine multiple chips to compensate for the lack of computing power.

The training of large AI systems is particularly problematic and remains the biggest weakness. Engineers report overheating and failures during long computational processes using domestic processors. While China is making progress in developing chips for inference tasks—that is, using pre-trained models—the computationally intensive training of new AI models remains a challenge.

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Government support and strategic goals

The Chinese government is supporting its domestic chip industry with massive investments and regulatory measures. State-owned cloud providers are required to source at least 50 percent of their chips from domestic manufacturers. Regulators have issued so-called "window guidance" urging Chinese companies to rely on domestic suppliers like Huawei and Cambricon instead of Nvidia chips.

China plans a comprehensive integration of artificial intelligence into its economy and society. By 2027, the penetration of new smart devices and AI agents is projected to exceed 70 percent in six key areas. This figure is expected to rise to over 90 percent by 2030, and by 2035, China envisions a fully intelligent economy and society.

The global research landscape

China has also established itself as a world leader in AI research. In 2024, China's publication output in AI research was equivalent to that of the US, UK, and EU combined. More than 40 percent of global citations are for Chinese AI publications. The country has 156 institutions that each published more than 50 AI-related papers in 2024.

The development of the AI ​​chatbot DeepSeek symbolizes China's growing technological independence. Its cost-effective, open-source language model demonstrates China's ability to circumvent US chip restrictions and still develop competitive AI systems.

Technological innovations and optimism

Despite the technical challenges, optimism is growing in China. Software innovations and improved chip designs could enable the country to close the gap with the US faster than previously expected. Chinese companies are increasingly focusing on domestically produced chips and have made significant progress in developing high-performance and energy-efficient processors.

China's AI workforce is young, growing rapidly, and ideally positioned for long-term change. Leading companies like Huawei, Baidu, Alibaba, and Tencent have accelerated their efforts in AI chip research and development, while a growing number of related startups are emerging.

Geopolitical implications and future prospects

The technological race between China and the US has far-reaching geopolitical implications. Taiwan is at the center of this conflict, as TSMC, the world's largest chip manufacturer, plays a key role. The company is investing billions in new factories outside Taiwan to reduce its dependence on its home base and to secure the supply of Western industries, even in times of crisis.

The US views China as a strategic threat and is continuously tightening its export controls. Critics warn that even with scaled-down versions of American flagship chips, China could buy enough to build world-leading AI supercomputers and surpass the US in AI capabilities.

China, for its part, is responding with a comprehensive strategy for technological independence. The People's Republic aims to reach a new stage of development by 2035, in which a fully intelligent economy and society are established. This transformation is intended to make a crucial contribution to realizing the desired socialist modernization.

Market dynamics and competitive situation

The global market for AI chips is experiencing intense competition. Nvidia continues to maintain its dominant position, but is simultaneously developing scaled-down versions of its chips for the Chinese market. The processor, tentatively named B30A and based on the Blackwell architecture, is expected to deliver roughly half the computing power of the top-of-the-line Western model, the B300, but would still be significantly faster than the current H2O chip.

Chinese manufacturers are exploiting the gap created by US restrictions. They are positioning themselves as reliable alternatives to American suppliers and building closer relationships with local customers and vendors. Geopolitical tensions are forcing key domestic customers to turn to GPUs manufactured in China, helping domestic producers gain market share.

The Chinese chip industry is planning a massive expansion of its production capacity. Chinese chip manufacturers aim to triple their total production of AI processors next year. A factory for producing Huawei's AI processors is scheduled to begin production by the end of 2024, with two more expected to go online in 2025.

The battle between China and Nvidia for dominance in AI chips is therefore more than just an economic competition. It reflects the broader geopolitical tensions between China and the US and will significantly shape the technological landscape of the coming years. While the US is trying to slow China's technological rise, China is doing everything in its power to achieve technological independence and consolidate its position as a global technology power.

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