China Aims to Quadruple AI Computing Power by 2030

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China’s AI computing power is on track for a major boost, with the MIIT setting a 2030 target of 9,800 EFLOPS under its latest Five-Year Plan. As of July, national capacity stood at 2,450 EFLOPS (FP16), requiring a fourfold increase over four years. By June, capacity had already reached 2,185 EFLOPS, up 177% year-over-year. The plan includes deploying tens of thousands of GPU clusters and promoting domestically developed AI chips. With AI and crypto news gaining momentum, industry trends show a clear focus on expanding computational infrastructure.
ME AI News, Dongcha Beating AI Brief: 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 the latest data from the National Data Bureau, as of the end of July, the nation’s total intelligent computing scale reached approximately 2,450 EFLOPS (FP16). Based on this metric, intelligent computing capacity must expand by roughly four times over the next four years. The plan also 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 domestic AI chips. To date, China has built 52 intelligent computing facilities with over 10,000 GPUs. The MIIT disclosed that intelligent computing capacity reached 2,185 EFLOPS by the end of June, a year-over-year increase of 177%. The plan uses 1,590 EFLOPS in 2025 as the baseline, aiming to reach 9,800 EFLOPS by 2030—equivalent to a 6.2-fold expansion. During the same period, the cumulative investment target for information infrastructure across the entire information and communications industry is set at RMB 3.8 trillion; this funding also covers communication networks and other infrastructure, not exclusively AI computing power. (Source: MLion)
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