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This article discusses the emergence of new infrastructures for autonomous driving, such as AI foundation models and intelligent computing centers. AI foundation models are trained on a vast quantity of unlabeled data at scale, and are capable of capturing knowledge from labeled and unlabeled data. They also have self-supervised learning capabilities, and can be adapted to a wide range of downstream tasks. Intelligent computing centers are used to provide computing power for autonomous driving algorithms.