Introducing the AI chip leading the world in precision scaling

To keep fueling the AI gold rush, we've been improving the very heart of AI hardware technology: digital AI cores that power deep learning, the key enabler of artificial intelligence. At IBM Research, we've been making strides in adapting to workload complexities of AI systems while streamlining and accelerating performance – by innovating across materials, devices, chip architectures and the entire software stack, bringing closer the next generation AI computational systems with cutting-edge performance and unparalleled energy efficiency. In a new paper presented at the 2021 International Solid-State Circuits Virtual Conference (ISSCC), our team details the world's first energy efficient AI chip at the vanguard of low precision training and inference built with 7nm technology. Through its novel design, the AI hardware accelerator chip supports a variety of model types while achieving leading edge power efficiency on all of them. This chip technology can be scaled and used for many commercial applications -- from large-scale model training in the cloud to security and privacy efforts by bringing training closer to the edge and data closer to the source.