As the demand for energy-efficient, sustainable and smart technology is rapidly increasing, IBM has developed a new technology, considered the world's first energy-efficient chips for AI inference and training. The chip is built with 7-nanometer technology. A team of researchers proposed a hardware accelerator that supports a range of model types that can achieve leading power efficiency on all the models in a paper presented at the 2021 International Solid-State Conference. AI accelerators are specialized hardware that is specifically designed to speed up AI applications, especially neural networks, deep learning, and machine learning. They are multicore and mainly focus on low-precision arithmetic or in-memory computing.