CPU (Central Processing Unit): The CPU* is the primary component of a computer that performs most of the processing. It handles general-purpose tasks, executing instructions from programs and

Here are the explanations for the terms:

• CPU (Central Processing Unit): The CPU is the primary component of a computer that performs most of the processing. It handles general-purpose tasks, executing instructions from programs and managing the flow of data.
• GPU (Graphics Processing Unit): A GPU is a specialized electronic circuit designed to rapidly manipulate and alter memory to accelerate the creation of images in a frame buffer intended for output to a display device. Its highly parallel structure makes it efficient for algorithms that process large blocks of data in parallel, such as those used in machine learning.
• TPU (Tensor Processing Unit): A TPU is an AI accelerator application-specific integrated circuit (ASIC) developed by Google specifically for neural network machine learning. It is optimized for performing high-volume matrix multiplications, which are fundamental operations in deep learning frameworks like TensorFlow.
• NPU (Neural Processing Unit): An NPU is a specialized microprocessor designed to accelerate artificial intelligence (AI) and machine learning (ML) workloads, particularly neural networks. NPUs are often found in mobile devices and edge computing applications to perform AI tasks efficiently with low power consumption.