Tag: AI Hardware

AI Hardware refers to the physical components and devices specifically designed to facilitate the processing, computation, and execution of artificial intelligence algorithms and applications. This includes specialized processors, such as Graphics Processing Units (GPUs), Tensor Processing Units (TPUs), and Field-Programmable Gate Arrays (FPGAs), which are optimized for the parallel processing tasks commonly encountered in AI workloads. AI Hardware may also encompass memory systems, storage solutions, and networking components that support the high data throughput and low-latency interactions required by AI systems. The design and development of AI Hardware aim to enhance the efficiency, speed, and performance of machine learning models and AI applications, enabling more complex computations and larger datasets to be processed effectively.