China's rapid advancements in artificial intelligence (AI) are significantly driven by its ability to develop local computing power for training large language models (LLMs), despite facing US export restrictions on advanced chips.

Since mid-2022, these US restrictions have prompted Chinese firms to innovate and create their own solutions, resulting in a robust reservoir of intelligent computing power.

Local chip manufacturers, including Huawei, are gaining traction in the AI sector by developing alternatives that can compete with established technologies.

Huawei's Ascend 910B AI chip has shown competitive performance compared to Nvidia's A100 chip in training LLMs, highlighting the advancements made by Chinese companies.

Experts note that China is rapidly closing the AI gap with the US through effective application deployment and state-backed technology adoption.

The vast market size in China, coupled with strong public sector demand for AI applications, provides a significant advantage for further AI development.

The Chinese government's investment in computing resources has alleviated concerns regarding the availability of advanced chips, further supporting local AI initiatives.

Chinese tech firms are actively developing their own LLMs, claiming to match or even exceed the capabilities of their US counterparts.

Notably, Alibaba's Qwen2 open-source LLM, launched in June, has been ranked No. 1 by Hugging Face, reflecting the growing dominance of Chinese models in the global AI landscape.

In addition to LLMs, Beijing-based Shengshu AI has recently launched Vidu, a text-to-video tool, joining a wave of Chinese firms like Kuaishou and Zhipu AI that are offering similar services globally.

Experts emphasize that China's comprehensive manufacturing system and efficiency create significant opportunities for the integration of AI technologies.

Winston Ma, an expert on China's tech landscape, highlights that the scarcity of advanced graphic processing units is driving efficiency in AI development, pushing local firms to innovate.