As part of SINNET’s nationwide data center development strategy, the company has independently built clusters of high-quality data centers in key regions such as Beijing-Tianjin-Hebei, the Yangtze River Delta, and Central China. A key project in the Yangtze River Delta strategy, SINNET’s Hangzhou Cloud Computing Center officially began construction at the end of 2022. With meticulous planning and steady progress, the building’s structural work is now nearly complete, and the entire civil engineering phase is expected to complete by 2025, when the center will commence full operation.

Recently, following a rigorous review and evaluation by Hangzhou’s quality supervision authorities, the SINNET Hangzhou Cloud Computing Center was awarded the “Hangzhou Excellent Structural Engineering Award (Second Half of 2024).”

This award recognizes that the center has achieved industry-leading standards in structural design and construction management, laying a strong foundation for delivering high-quality computing infrastructure services across Zhejiang Province and the broader Yangtze River Delta region.

The Hangzhou Cloud Computing Center spans approximately 90 mu (about 15 acres), with a total building area of 172,000 square meters, and will be capable of housing around 10,000 2N-standard server cabinets upon completion, providing robust computing power support for the region.

The project is entirely self-funded, self-built, and self-operated by SINNET, with operations managed by its in-house team. From design and construction to operations and maintenance, the project is entirely under SINNET’s control. Built to national Tier-A standards, the facility features high elasticity for future data room expansion, abundant power resources, and highly customizable data room configurations.

Once operational, the Hangzhou Cloud Computing Center will provide a comprehensive, full-stack suite of digital infrastructure services, including data center lifecycle customization, cloud services, and intelligent computing services, catering to enterprises with big data and computing power demands.