
China’s AI industry is undergoing a strategic shift toward domestic hardware, reducing reliance on NVIDIA chips by integrating local alternatives like Huawei’s Ascend processors. This transition involves deep co-design between AI labs like DeepSeek and hardware manufacturers to optimize training and inference performance despite current compute constraints. Beyond chips, the broader AI infrastructure—including energy supply, cooling systems, and rack manufacturing—serves as a critical bottleneck where China leverages its existing industrial base to scale data centers. Meanwhile, the rise of edge and embodied AI, particularly in robotics, benefits from Shenzhen’s dense manufacturing ecosystem, allowing for rapid prototyping and integration. While the United States focuses on frontier model scaling, China’s approach emphasizes systemic, long-term industrial development, utilizing cross-sector expertise from telecommunications and consumer electronics to overcome technical and geopolitical hurdles in the global AI race.
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