South China Morning Post reports that China's most advanced language models are still typically trained on Nvidia chips, even as Beijing pushes domestic semiconductors. Sources cite the cost of leaving Nvidia's CUDA stack: Huawei's CANN alternative needs large rewrites, and one Shanghai-affiliated researcher estimated migrating Ascend workflows could add at least 50 percent in time and cost. A person familiar with the industry said Nvidia training remains the norm among Chinese AI developers for now. Caveat: the reporting rests on practitioner accounts rather than a new official ban or chip shipment ledger, so lab-by-lab mix still varies.