Tensor processing refers to the mathematical operations performed on tensors, which are mathematical objects that generalize scalars, vectors, and matrices to higher dimensions. It is crucial in fields such as machine learning, especially in training deep learning models. Specialized hardware like Tensor Processing Units (TPUs) has been developed to accelerate tensor operations, enabling faster computations and improved performance for complex models. By efficiently managing tensor calculations, this technology significantly enhances the speed and efficiency of tasks in artificial intelligence and data analytics.