👉 TP Computing, or Tensor Processing Units, are specialized hardware chips designed specifically for accelerating machine learning tasks, particularly those involving deep neural networks. Unlike traditional CPUs and GPUs, TPUs are optimized for the matrix operations that are fundamental to training and inference in neural networks. They feature high-bandwidth memory, efficient tensor processing units, and a high degree of parallelism, which significantly speed up the computation required for tasks like image recognition, natural language processing, and predictive analytics. TPUs are part of Google's broader strategy to develop custom hardware that can outperform general-purpose processors in AI workloads, making them a key component in the rapid advancement and deployment of AI technologies.
