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Chinese think tank advises data centers to stick with Nvidia AI GPUs -- homegrown Chinese GPUs suffer from 'high costs' and 'complex engineering'
On Sunday, the Chinese-government-backed research institute and think tank CAICT issued a detailed report regarding China's computational power. The report (vias SCMP''') warned data centers to keep on using Nvidia-based solutions. The institute cited 'high costs' and 'complex engineering' as one
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Tech war: China advocates use of local AI chips over those from US powerhouse Nvidia
NVIDIA's CEO Jensen Huang displays products on-stage during the annual Nvidia GTC Artificial Intelligence Conference at SAP Center in San Jose, Calif. March 18. AFP-Yonhap Chinese authorities have informally advised local companies to use domestic-made artificial intelligence (AI) chips over those
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China pushes local companies to not buy AI chips from NVIDIA
A new report has cited two anonymous sources familiar with the matter that Chinese authorities have told local companies to avoid purchasing NVIDIA AI chips. The report comes from the South China Morning Post and states that Chinese authorities have told local companies they should be choosing
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Chinese authorities are advising local companies to prioritize domestic AI chips over NVIDIA's, despite challenges in transitioning from the U.S. tech giant's products. This move reflects China's push for technological self-reliance amidst ongoing trade tensions with the United States.

In a significant move that could reshape the global AI chip market, Chinese authorities have reportedly begun advising local companies to prioritize domestic artificial intelligence (AI) chips over those produced by U.S. tech giant NVIDIA. This informal guidance comes as China seeks to bolster its technological self-reliance amidst ongoing trade tensions with the United States
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.NVIDIA, a dominant force in the AI chip market, has faced increasing restrictions on its high-performance GPU exports to China. The U.S. government has barred the export of NVIDIA's A100 and H100 GPUs to China, prompting the company to develop China-specific alternatives like the H20
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. Despite these efforts, NVIDIA's CEO Jensen Huang has publicly supported the U.S. government's approach, stating that they are "doing a wonderful job" in balancing controls and exporting American technology2
.The Chinese Academy of Information and Communications Technology (CAICT), a government-backed think tank, has highlighted significant challenges in transitioning away from NVIDIA's solutions. Their report cites "high costs" and "complex engineering" as major hurdles for data centers considering a switch to Chinese chips
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. The think tank warned that "there are big discrepancies on hardware in IDCs, such as in GPUs, AI accelerators and network structures, which made it harder to manage and dispatch hardware resources"1
.Despite these challenges, adoption of Chinese-made AI chips is growing. State-owned carrier China Telecom recently announced the development of two large language models trained entirely on locally produced AI chips
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. Huawei Technologies, a key player in China's chip industry, has begun offering samples of its Ascend 910C processor, which is reportedly on par with NVIDIA's popular A100 chips2
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This push for domestic AI chips reflects China's broader strategy to achieve semiconductor self-sufficiency. Despite significant investments, China still imported $350 billion worth of chips in 2023
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. The country's efforts to develop competitive AI chips could have far-reaching implications for the global tech industry and international trade relations.While Chinese authorities are encouraging the use of domestic chips, NVIDIA's products remain popular in China. The company is expected to deliver more than 1 million H20 GPUs in China this year, potentially generating $12 billion in sales
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. However, the long-term outlook for NVIDIA's presence in the Chinese market remains uncertain as domestic alternatives continue to improve and government pressure increases3
.As this situation unfolds, it highlights the complex interplay between technological advancement, economic policy, and international relations in the rapidly evolving field of artificial intelligence.
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