Nvidia chip shortage stalls Chinese AI coding workloads

China’s AI firms face delayed deployments and higher costs as Nvidia chips remain critical for complex coding tasks

China’s AI firms require Nvidia chips for high-quality coding tasks, while inference workloads can use domestic hardware. This dependency forces firms to stretch scarce Nvidia supply, increasing costs and slowing deployment. The National Data Administration reported China’s average daily token calls exceeded 140 trillion in March 2024, up more than 1,000-fold from early 2024. Guan Jiawei, vice-president at Approaching.AI, confirms that reliable performance for complex tasks depends on Nvidia chips.

This friction in the GOODS sector creates immediate pressure on AI service affordability. Chinese firms must now balance urgent coding needs against limited Nvidia access, raising costs for AI-driven services that affect productivity and innovation. The shortage highlights how specialized hardware constraints can gate access to critical digital tools.

What follows will determine whether domestic alternatives can scale faster than the shortage deepens. The source’s future publication date (August 20, 2026) suggests this data may be preliminary. For now, the chip dependency remains a bottleneck for China’s AI development pace.

Source: SCMP Tech