GPUS AND TPUS EXPLAINED
Graphics Processing Units ( GPUs ), originally intended for rendering graphics , have evolved into powerful accelerators for AI workloads . Their parallel processing capabilities make them ideal for tasks such as deep learning training and inference , excelling in image and video analysis , natural language processing , and more .
Tensor Processing Units ( TPUs ), pioneered by Google , stand out as specialised accelerators tailored for machine learning tasks . Renowned for their efficiency and performance , TPUs optimise neural network inference and training processes , significantly contributing to AI hardware design .