China is moving aggressively to centralize and optimize its digital infrastructure, with Vice Premier Ding Xuexiang signaling that computing power has officially joined the ranks of essential national resources alongside water and electricity. During a high-profile inspection tour across Beijing, Hebei, and Inner Mongolia, Ding emphasized the construction of a 'national integrated computing power network.' This initiative is designed to synchronize the country's vast data processing needs with its energy distribution, effectively treating the nation's combined server capacity as a single, flexible utility.
The timing of the visit is significant, as it marks the early strategic positioning for the '15th Five-Year Plan' (2026-2030). Beijing views computing power not merely as a technical metric, but as a critical component of comprehensive national strength. By integrating decentralized resources into a unified grid, the government aims to ensure that the massive demand from eastern coastal cities can be met by the energy-rich, less-populated western provinces. This strategy, often referred to as 'Eastern Data, Western Computing,' is now evolving into a more sophisticated 'computing-electricity synergy.'
A key pillar of this push is the drive for technological self-reliance. Ding explicitly called for the transition of domestic software and hardware from being merely 'available' to being 'high-performing.' This underscores a strategic imperative to insulate China’s AI and data industries from external supply chain shocks. By fostering a domestic innovation ecosystem and establishing standardized protocols, Beijing intends to consolidate its grip over the foundational technologies of the next industrial era.
Energy remains the largest bottleneck for the digital economy, and the Vice Premier's focus on Inner Mongolia highlights a shift toward 'green computing.' By locating massive intelligent computing centers in regions with abundant wind and solar resources, China is attempting to solve the sustainability paradox of AI—where the carbon footprint of training models can be astronomical. The proposed 'source-grid-load-storage' model for new power systems suggests that future data centers will function as active participants in the electrical grid, absorbing excess renewable energy during peak production.