Introducing TPU v4: Googles Cutting Edge Supercomputer for Large Language Models - KDnuggets

Machine learning and artificial intelligence seem to be growing at a rapid rate that some of us can even keep up with. As these machine-learning models get better at what they do, they will require better infrastructure and hardware support to keep them going. The advancement of machine learning has a direct lead to scaling computing performance. TPU stands for Tensor Processing Unit and they were designed for machine learning and deep learning applications. TPU was invented by Google and was constructed in a way that it has the ability to be able to handle the high computational needs of machine learning and artificial intelligence. When Google designed the TPU, they created it as a domain-specific architecture, which means they designed it as a matrix processor, instead of it being a general-purpose processor so that it specializes in neural network workloads.