High switching costs keep Chinese AI developers reliant on Nvidia hardware despite push for self-sufficiency
Major Chinese large language model developers continue to train their most advanced AI systems on Nvidia chips, according to industry sources. The high expense and engineering challenges of migrating to domestic semiconductors are slowing Beijing's drive for technological independence. Changing chip architecture remains a significant bottleneck, even as local hardware improves.
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Original headline: “China’s top AI is still trained on Nvidia chips. What is delaying a switch to local tech?.” Browse more stories.