China’s AI Strategy Leans on Huawei Chip Clusters and Cheap Energy to Counter the U.S.
China has found a powerful workaround to the U.S. chokehold on advanced semiconductors — combining Huawei’s massive chip clusters with abundant cheap energy to accelerate its artificial intelligence (AI) ambitions.
While Nvidia remains the global gold standard for AI chips, U.S. export restrictions have cut China off from the American company’s most powerful processors. Yet, Chinese tech giants like Huawei, Alibaba, and DeepSeek continue to build large-scale AI models using domestically produced hardware.
At the core of this effort is Huawei’s Ascend series — less advanced than Nvidia’s GPUs individually, but competitive when linked together in vast, high-speed “clusters.” One example is the Huawei CloudMatrix 384, which connects 384 Ascend 910C chips to deliver performance rivaling Nvidia’s GB200 NVL72, despite relying on five times as many chips.
“This approach leverages high-speed interconnects to compensate for weaker chips,” said Brady Wang, associate director at Counterpoint Research. “It suits China’s strengths — large-scale engineering and manufacturing.”
The tradeoff is power consumption. Huawei’s architecture demands far more energy than Nvidia’s — but China’s cheap and plentiful electricity turns that disadvantage into an asset. Supported by investments in solar, wind, and nuclear energy, as well as local government subsidies, Beijing has created a favorable environment for energy-intensive AI infrastructure.
“Less efficient chips are sustainable in China because energy is inexpensive and government-backed,” said Wendy Chang of the Mercator Institute for China Studies.
Still, a structural weakness remains. Huawei’s chips are made by SMIC, China’s top semiconductor foundry, using older 7-nanometer tools that lag far behind TSMC’s cutting-edge technology. Export restrictions, especially on ASML’s extreme ultraviolet lithography machines, limit China’s ability to close that gap.
“China’s main challenge isn’t scaling power or hardware clusters,” said Hanna Dohmen from Georgetown University’s CSET. “It’s whether they can keep up technologically as Nvidia and TSMC push performance forward.”
For now, though, Beijing’s combination of Huawei’s hardware muscle and low-cost power is proving enough to keep China in the global AI race.