AI Chips

AI chips are specialized hardware designed to accelerate artificial intelligence (AI) computations, particularly those related to machine learning and deep learning algorithms. These chips are optimized for handling the large volumes of data and complex computations required by AI applications, such as neural network training and inference tasks. AI chips include a variety of architectures, such as Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), Field-Programmable Gate Arrays (FPGAs), and Application-Specific Integrated Circuits (ASICs). They are designed to perform parallel processing efficiently, enabling faster data processing and enhanced performance in AI tasks. AI chips are commonly used in applications ranging from natural language processing and computer vision to autonomous systems and robotics. Their development is a key factor in advancing the capabilities of AI technologies.