TMTPOST -- Cambricon Technologies Corp.双融网, one of China’s leading AI chip designers, reported a record profit in the first half of 2025, reflecting surging demand for domestic chips amid the post-DeepSeek AI boom and Beijing’s push for self-reliance in technology.
The Shenzhen-based company swung to a 1.03 billion yuan ($144 million) profit双融网, a dramatic turnaround from a 533 million yuan loss a year earlier. Revenue skyrocketed roughly 44-fold to 2.9 billion yuan, fueling a more than 8% jump in its Shanghai-listed shares.
展开剩余69%The strong performance underscores the accelerating adoption of local alternatives to U.S.-made chips, as both startups and tech giants like Alibaba Group Holding Ltd. increasingly leverage Chinese accelerators to develop and host AI models. Authorities have urged domestic agencies and enterprises to rely on homegrown technology, citing security concerns and persistent uncertainty over U.S. export restrictions on high-performance chips.
“Amid U.S. restrictions on China’s AI sector, government support for leading domestic firms is essential to drive growth and replace imported chips,” said Ma Cheng, chairman of Shenzhen Juze Investment Management Co. “Such protection is necessary, and Cambricon’s growth is far from temporary.”
The surge in Cambricon’s earnings has lifted sentiment toward the broader chip sector, even as geopolitical tensions and supply chain disruptions continue to weigh on markets. The company has seen its market value double to $80 billion this month alone, after emerging as China’s top-performing stock of 2024. The rally has been fueled by investor enthusiasm over government backing of AI development, including applications in intelligent vehicles, robotics, and large-scale AI models.
Cambricon has expanded compatibility with leading AI models in China, including DeepSeek, Alibaba’s Qwen, and Tencent Holdings Ltd.’s Hunyuan双融网, ensuring its chips are widely adopted across the domestic AI ecosystem. The company also announced a 4 billion yuan private placement in July to fund its large-model chip platform.
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