Guizhou raises investment in new digital infrastructure

The current server capacity of China Unicom's cloud data center in Guian New Area is 3,000. [Photo/ddcpc website]

Southwest China's Guizhou province, as China's first big data comprehensive pilot zone, has maintained a high amount of investment in boosting the development of its big data industry.

According to the Big Data Development Administration of Guizhou Province, Guizhou's annual investment in the big data industry has remained above 10 billion yuan ($1.57 billion) since 2018.

In 2022, Guizhou proposed an improvement in digital facilities, aiming to invest 17 billion yuan in the construction of more than 100 big data-related infrastructure projects.

This year, Guizhou will construct 25,000 5G base stations, add 200 scenario-based 5G applications in industry, education and medical treatment, and apply for some "Eastern Data and Western Computing" demonstration projects.

The "Eastern Data and Western Computing" project was launched in February, and Guizhou was selected as one of China's eight national computing hubs, with Guian New Area as one of China's 10 major data center clusters.

China Unicom, a major telecom service provider, is constructing a cloud data center in Guian. So far, the first stage of the center has been completed, and the second stage will start construction this year.

The company is also promoting the interconnection of Guizhou and other national computing hubs so that network delays between Guizhou, the Chengdu-Chongqing area and the Guangdong-Hong Kong-Macao Greater Bay Area will be reduced to less than 10 milliseconds, and the network delay between Guizhou, the Beijing-Tianjin-Hebei region and the Yangtze River Delta Area will be reduced to less than 20 milliseconds.

The Guizhou branch of China Unicom has established special work teams to attract investment from East China. With the implementation of the "Eastern Data and Western Computing" project, more and more companies are expected to consider investing in West China for energy consumption and land cost reasons.