China AI Chip Limits Keep Firms Reliant on Nvidia

China’s artificial-intelligence industry is moving from model development toward large-scale deployment, driving a surge in token consumption and computing demand from agentic AI applications. Coding and other complex workloads place particularly heavy demands on processing performance, software compatibility and system stability. The ability of domestic accelerators to handle those tasks is central to Beijing’s push for technological self-reliance and to Chinese companies’ efforts to reduce their exposure to Nvidia’s constrained supply of advanced AI chips.

Recent reporting indicates that Chinese AI chips still fall short on performance and reliability when running coding workloads, preventing companies from fully replacing Nvidia’s high-end processors. As token demand expands rapidly, operators are being forced to squeeze more output from scarce Nvidia capacity through tighter allocation and higher utilisation. Until domestic hardware and its supporting software ecosystem mature, Chinese companies are likely to remain heavily dependent on Nvidia computing power for their most demanding AI applications.