ChainCatcher report: The Ministry of Industry and Information Technology of China has released the "15th Five-Year Plan for the Development of the Information and Communications Industry," setting a national target of 9,800 EFLOPS for intelligent computing power by 2030. According to data from the National Data Bureau, as of the end of July, the nation's intelligent computing scale reached approximately 2,450 EFLOPS (FP16), meaning that over the next four years, it must expand by roughly four times under this metric. The plan calls for the orderly deployment of intelligent computing clusters with 10,000 or more GPUs, the construction of inference computing power tailored to diverse scenarios, and increased adaptation of domestically produced computing chips. To date, China has built 52 intelligent computing facilities with over 10,000 GPUs. The Ministry disclosed that the intelligent computing scale reached 2,185 EFLOPS by the end of June, representing a year-over-year growth of 177%. Based on a 2025 baseline of 1,590 EFLOPS, the plan aims to reach 9,800 EFLOPS by 2030—an increase of approximately 6.2 times. During the same period, the cumulative investment target for information and communications infrastructure—including communication networks and other components—is set at RMB 3.8 trillion, not all of which will be allocated to AI computing power.
China's MIIT sets 2030 AI computing target at 9,800 EFLOPS
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China’s MIIT has set a 2030 AI computing target of 9,800 EFLOPS, as outlined in the “14th Five-Year Plan for the Development of the Information and Communication Industry.” As of July, the national AI computing capacity stood at 2,450 EFLOPS (FP16), requiring a fourfold increase over four years. The plan includes the deployment of large-scale AI computing clusters and the adoption of domestic AI chips. By mid-2026, AI computing power reached 2,185 EFLOPS, up 177% year-over-year. Industry trends indicate rapid growth in AI infrastructure, with AI + crypto news highlighting cross-sector developments.
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