China’s Nationwide Computing Power Network: What It Is and Why It Matters
The Idea Behind the Network
China’s 15th Five‑Year Plan (2026‑2030) pushes the East Data, West Computing initiative further. The goal is to create a multi‑tier computing infrastructure that links data centers across the country into one seamless network. This network lets any computing job run where it is most efficient, no matter where the user is located.
How the Network Works in Real Life
Fast AI Diagnosis in Jingzhou
At Jingzhou First People’s Hospital in Hubei, radiologist Zhang Liren uploads CT scans to an AI‑powered diagnostic tool. The system returns a preliminary reading in under 10 seconds. Speed like this depends on a strong, low‑latency network that can move data instantly between the hospital and powerful computing servers.
China Mobile Hubei’s Lingban Platform
China Mobile Hubei launched the Lingban Computing Network to provide:
- 1 ms latency inside a city
- 5 ms latency across the province
- 7 ms latency between Wuhan and major Yangtze River cities
- 10 ms latency from Wuhan to the eight national data centers
Before this platform, computing tasks might bounce between local machines and faraway data centers, causing noticeable delays. Now, the network keeps the wait time almost invisible.
Edge Computing and Shared Resources
Gong Jian, head of a research institute at China Mobile Hubei, explains that the platform pulls together:
- Edge computing resources from cities throughout Hubei
- Idle social computing power (unused servers from businesses, schools, etc.)
All of these are managed under a single system. An intelligent task‑scheduling engine then directs AI startups to the right computing power without requiring them to buy expensive hardware up front.
Solving the Imbalance Between East and West
China’s computing resources are unevenly spread:
- Eastern provinces have high demand but limited space and high costs for new data centers.
- Western regions offer cheap land and abundant energy for server farms, yet local demand is low.
Because workloads shift by industry and time of day, the network must assign tasks dynamically based on urgency, budget, and the type of chips needed.
Highway Analogy for Different Jobs
Zhang Xianghong, who leads the data‑standardization group at the National Technical Committee 609, likens the network to a highway:
- Ambulances (urgent tasks like remote surgery) use the emergency lane — they get the lowest latency.
- Delivery trucks (large‑scale jobs like AI model training or movie rendering) stay in regular lanes — they can wait a bit longer for resources.
This approach makes sure each job finds the “most appropriate trace,” as Zhang Huawei, a product manager for China Mobile’s computing‑network planning platform, puts it.
Building a Unified System
Standards and Monitoring
The National Technical Committee 609 has already released nine technical documents that set the basic rules for the computing power network. These standards will be updated as real‑world experience grows, ensuring that different architectures, operators, and regions can work together smoothly.
At Pengcheng Laboratory in Shenzhen, a national monitoring dashboard displays live data on computing capacity across the country. Deng Qing, director of the computer‑network ecosystem there, says the system acts as the “eye” of the network, showing:
- Where resources are located
- How much work they are handling
- How well they are utilized
Right now, the dashboard covers the 10 main clusters inside the eight East Data, West Computing data centers plus some non‑hub sites, representing about 1.37 million PFLOPS — roughly 72 % of China’s total intelligent computing capacity.
Pengcheng Laboratory’s Dashboard
The live screen lets planners see bottlenecks instantly and shift workloads to underused centers. This visibility is essential for efficient planning, cost savings, and making sure the network runs at peak performance.
The Bigger Picture for China’s Digital Economy
Guo Mingjun from the State Information Center notes that the network encourages intensive, concentrated development of computing power — general‑purpose, AI‑focused, and supercomputing — inside national data centers. By the end of March this year, more than 80 % of the nation’s intelligent computing capacity already resides in those eight hubs, showing a clear trend toward centralization.
Beyond speed and efficiency, the unified network is reshaping how data, communications, electricity, and computing resources are combined and allocated. This restructuring supports new industries, improves public services, and lays the groundwork for future innovations like smart cities, autonomous vehicles, and advanced scientific research.
Conclusion
China’s effort to build a nationwide computing power network is more than a technical upgrade. It is a strategic move to balance regional resources, cut latency for critical applications, and stimulate the digital economy. By turning scattered data centers into a coordinated, intelligently managed system, the country is ensuring that every computational task — whether a split‑second medical diagnosis or a massive AI training run — finds the fastest, most cost‑ effective path to completion. This foundation will help power China’s next wave of technological breakthroughs for years to come.
