Abstract: The present invention discloses an optimizing method for an AI accelerator and an AI accelerator. The optimizing method optimizes the AI accelerator through obtaining target neural network architecture by genetic programming, and includes: preparing required raw data, removing abnormal data, annotating based on different data types to obtain annotated data, and selecting part of the annotated data as a training set; determining search space of genetic programming, defining function set and terminal set of genetic programming, and performing preprocessing, extracting features, concatenating features, regressing and result outputting on the annotated data; defining fitness function used in genetic programming to search for optimal individuals; and the training set performing to search for obtaining the target neural network architecture.