China targets 9,800 exaflops of AI compute by 2030, quadrupling June's level
China's MIIT set a 2026-2030 target of 9,800 exaflops of intelligent computing capacity, up from 2,185 exaflops in June, backed by 3.8 trillion yuan ($532 billion) in cumulative infrastructure investment and clusters running 10,000 or 100,000-plus accelerator cards. The plan calls for adapting that infrastructure to home-grown chips, making the buildout a demand floor for domestic accelerators — and with 52 facilities above 10,000 cards built and capacity up 177% year-on-year, the fourfold jump extends a curve rather than starting one.
Source: scmp.com ↗
China plans to deploy artificial intelligence computing clusters containing 100,000 accelerator cards and sharply expand the country's intelligent computing capacity over the next five years
Ministry of Industry and Information Technology (MIIT)
Why this matters
- → China commits $532B to AI compute infrastructure, establishing dominant supply-side demand for accelerators
- → Fourfold expansion by 2030 locks in domestic chip adoption, reshaping global semiconductor competition
- → 177% year-on-year growth shows buildout momentum already embedded—target extends existing curve, not a new bet
Beijing's compute gamble