TPU v2

TPU v2, or Tensor Processing Unit v2, is a specialized hardware developed by Google to accelerate machine learning tasks, particularly large-scale neural network computations. It's designed to handle complex mathematical operations involved in AI models more efficiently than traditional CPUs or GPUs, providing faster processing and energy savings. TPU v2 can deliver over 45 teraflops of processing power, making it ideal for training and deploying AI applications at scale. Its purpose is to improve the speed and cost-effectiveness of artificial intelligence workloads, especially in cloud-based environments.