If you are running AI workloads, here is something that might surprise you. Your processors are wasting more energy shuffling data around than actually doing the calculations you care about. This inefficiency is becoming a serious limit for the next generation of artificial intelligence systems. As neural networks grow to billions of parameters, traditional von Neumann architectures are hitting physical barriers. This article explains what compute-in-memory (CIM) technology is and how it works. ...