AI Accelerators are specialized hardware designed to speed up the processing of artificial intelligence tasks. They enhance the performance of machine learning models by efficiently handling large amounts of data and complex calculations. Common types of AI accelerators include Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs), which are optimized for parallel processing. These accelerators are crucial in various applications, such as natural language processing, computer vision, and autonomous vehicles. By improving the speed and efficiency of AI computations, they enable faster training of models and quicker inference, making advanced AI technologies more accessible and effective in real-world scenarios.