We learned from multiple sources that Ideal Auto is exploring self-developed cloud inference chips. It will use the same data flow architecture as smart driving chips, and the project is still in the early stages. AI data centers generally use GPUs to complete model training and inference, and data centers also deploy cloud-based inference chips. A person in the chip industry said that cloud-based inference chips can handle some of the inference tasks that originally run on GPUs, such as data processing, testing, and simulation of smart driving models, and request processing for large language models. The part of model training involving parameter updates still requires training a chip.

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