Recently, some observers have suggested that NVIDIA is “copying China’s homework”—not in the sense of intellectual property theft, but rather by adopting strategies pioneered by Chinese tech firms in AI industry layout, ecosystem building, and market approaches. Over the past few years, Chinese companies like Huawei, Cambricon, and Baidu have accumulated extensive experience in large model training, domestic chip compatibility, and deep hardware-software co-optimization.In response to U.S. export controls on advanced chips to China, NVIDIA has adjusted its strategy—launching China-specific, downgraded GPUs (such as the H20) and strengthening partnerships with local cloud providers and developers to better align with China’s regulatory landscape and user needs.Notably, NVIDIA is also accelerating the development of a “full-stack” AI ecosystem similar to those seen in China—integrating chips, middleware, and application toolchains into a tightly coupled system. This approach has already proven effective in China, exemplified by Huawei’s Ascend chips paired with the MindSpore framework. Additionally, NVIDIA is placing greater emphasis on localized support, developer community engagement, and customized industry solutions—areas where Chinese AI companies have long focused.Thus, this “homework copying” reflects how global tech leaders are learning from each other and adapting strategies to local contexts amid intense competition. For China, this trend represents both a challenge and validation that its homegrown innovation pathways now hold global relevance.
近期，有观点认为英伟达（NVIDIA）正在“抄中国的作业”，这并非指技术剽窃，而是指其在人工智能产业布局、生态构建和市场策略上，开始借鉴中国科技企业的做法。过去几年，中国AI公司如华为、寒武纪、百度等在大模型训练、国产芯片适配、软硬协同优化等方面积累了丰富经验。面对美国对华芯片出口管制带来的市场变化，英伟达调整战略，推出专为中国市场定制的降规版GPU（如H20），并加强与本土云服务商和开发者的合作，以适应中国监管环境和用户需求。更值得注意的是，英伟达正加速构建类似中国“全栈式”AI生态的体系——从底层芯片、中间件到上层应用工具链，强调软硬件深度整合。这种模式在中国已被验证有效，例如华为昇腾+MindSpore的组合。此外，英伟达也开始重视本地化服务、开发者社区建设和行业解决方案定制，这些正是中国AI企业长期深耕的方向。因此，“抄作业”实则是全球科技巨头在激烈竞争下相互学习、因地制宜的体现。对中国而言，这既是挑战，也说明本土创新路径已具备全球参考价值。
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