Also known as: AI Accelerator Β· accelerator chip Β· Artificial Intelligence Accelerator
An AI Accelerator is specialized hardware or a computer system designed to speed up AI and machine learning workloads. It is commonly used for computationally intensive tasks such as neural network training and inference, often using GPUs, TPUs, or similar accelerator chips.
A category of specialized hardware components designed to perform key computations needed for deep learning algorithms. Accelerator chips (or just accelerators, for short) can significantly increase the speed and efficiency of training and inference tasks compared to a general-purpose CPU. They are ideal for training neural networks and similar computationally intensive tasks. Examples of accelerator chips include: - Google's Tensor Processing Units (TPUs) with dedicated hardware for deep learning. - NVIDIA's GPUs which, though initially designed for graphics processing, are designed to enable parallel processing, which can significantly increase processing speed.
A class of microprocessor or computer system designed as hardware acceleration for artificial intelligence applications, especially artificial neural networks, machine vision, and machine learning.