The plan comes amid rising competition between China and the U.S. in many high-tech areas ranging from semiconductors and supercomputers to AI, including U.S. export controls on chipmaking equipment.

The plan, released by six departments in Beijing including the Ministry of Industry and Information Technology (MIIT), has set a target for China’s total computing power to reach 300 EFLOPS by 2025. EFLOPS, equal to one quintillion floating-point operations per second, measures a computer's speed.

The MIIT revealed in August that China’s computing power has reached 197 EFLOPS this year, up from 180 EFLOPS in 2022. The ministry said it ranks China as second behind the United States, but did not elaborate on the scale of the U.S. computing power it referenced.

As AI training requires a large amount of computation, the effort to expand the supply of computing power is increasingly becoming a focus for Beijing.

According to a blog post by Google last month, the world’s top-tier generative AI models "will require tens of EFLOPs of AI supercomputing to maintain training times of several weeks or less."

According to the plan, China aims to build out more data centers across the country to facilitate businesses' access to computing power.

In order to meet the demands of the rapidly developing AI industry, Beijing also plans to improve computational infrastructure in western China.

Expansive but less populated provinces in China such as southwestern Guizhou have long been tasked to establish massive data centers to power the country’s internet. For example, Apple has set up data centers in Guizhou with a local partner to serve its users in the country.

Another focus is to improve the speed and efficiency of the computation network. The plan said that transmission speeds between critical computing facilities must not allow a latency of more than 5 milliseconds.