An AI Processor is specialized computing hardware designed to accelerate the mathematical operations required by artificial intelligence and machine learning workloads. It is optimized for tasks such as matrix calculations, tensor operations, neural-network inference, and model training, allowing AI applications to process large volumes of data efficiently.
AI processors can include GPUs, NPUs, TPUs, and other purpose-built accelerators. They are used across cloud data centers, edge devices, smartphones, robotics, autonomous systems, and enterprise infrastructure. By providing high parallel-processing capability and improved energy efficiency, AI processors help reduce inference and training time while enabling increasingly complex AI workloads.
