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When automakers use Nvidia GPUs in data centers to train autonomous driving models, they depend on the CUDA ecosystem, and deploying models to the in-vehicle Drive platform enables hardware-software co-optimization, but migrating to other chips is extremely costly.
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10/15/2026
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