Supersized and scaling: China pushes 10,000-card computing clusters in AI race
SCMP Tech / 5/6/2026
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Key Points
- China is rapidly expanding large-scale AI computing infrastructure, with cities and major tech firms competing to build 10,000-card GPU/accelerator clusters.
- These supersized clusters connect 10,000 or more AI accelerator chips, which proponents say speeds up iteration and significantly shortens model training cycles.
- The push is driven by expectations that greater compute scale will reduce costs and enable broader, faster adoption of AI capabilities.
- Domestic “champions,” including companies like Huawei and Alibaba, are positioned as key players in the infrastructure arms race.
In China, computing facilities have emerged as a new form of infrastructure over the past two years, sparking an arms race among cities and technology companies to build 10,000-card computing clusters.
These clusters – which link 10,000 or more artificial intelligence accelerator chips – enable faster iteration of AI capabilities and significantly reduce model training times.
Domestic champions, from tech giants such as Huawei Technologies and Alibaba Group Holding to graphics processing unit...
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