China's Ministry of Industry and Information Technology (MIIT) released a five-year industry plan targeting 9,800 eflops of intelligent computing capacity by 2030, backed by 3.8 trillion yuan (approximately $532 billion) in information infrastructure investment2,1.
The plan calls for deploying AI computing clusters containing 100,000 accelerator cards as part of a broader push to expand the country's intelligent computing capacity over the next five years.
ANALYSIS The 9,800-eflops target, described as a fourfold boost, and the scale of the planned cluster deployments position this as one of the largest state-directed AI infrastructure commitments disclosed to date.
The 3.8 trillion yuan figure covers information infrastructure broadly, not AI compute alone. The MIIT plan was released on Monday.
ANALYSIS The cluster specification of 100,000 accelerator cards per deployment aligns with the scale frontier AI labs have pursued for training runs, though the plan's language addresses national capacity rather than any single training effort.
The investment figure and compute targets together represent Beijing's clearest quantified commitment to closing the AI infrastructure gap through centrally directed capital allocation.