❯ China targets 9,800 EFLOPS of AI compute by 2030 and RMB3.8 trillion in five-year information-infrastructure investment

Five-year targetsAccording to the MIIT plan and the South China Morning Post, China targets 9,800 EFLOPS of intelligent computing capacity by 2030 and RMB3.8 trillion in cumulative information-infrastructure investment from 2026 through 2030, approximately $532 billion at the conversion reported. The investment covers information infrastructure; it cannot all be counted as AI accelerator purchases or a single fiscal allocation.

Capacity baselineMIIT figures put capacity at 2,185 EFLOPS at the end of June, up 177% year over year. The 2030 target is about 4.5 times that baseline. An EFLOPS represents 10 to the power of 18 floating-point operations per second. Without precision and measurement definitions, capacity cannot be translated directly into purchases of a particular chip.

Clusters and compatibilityThe plan calls for orderly deployment of clusters with 10,000, 100,000 or more accelerator cards and greater compatibility with domestic chips. MIIT’s explanation also addresses network upgrades, greener operations and applications. Beyond cluster size, power, networking and software compatibility determine whether hardware forms a reliable usable service.

Utilization testEquipment vendors and compute operators have a longer-term construction direction, but targets are not signed orders. Projects must deliver through commissioning and utilization: once equipment reaches a data center, sustained customer use and revenue covering power and maintenance will determine how much operating benefit expansion produces.

▪ SIGNALCapacity targets establish a construction direction; the distance between orders, commissioning and customer use determines whether equipment spending becomes recurring revenue.