Tensor cores are specialized processing units designed to accelerate machine learning tasks, particularly those involving deep learning. They are optimized for performing tensor operations, which are mathematical computations involving multi-dimensional arrays of data. By handling these operations more efficiently than traditional cores, Tensor cores can significantly speed up the training and inference of neural networks. These cores are commonly found in modern graphics processing units (GPUs), especially those developed by NVIDIA. They enable faster processing of large datasets, making them essential for applications in artificial intelligence, computer vision, and natural language processing. This technology helps researchers and developers create more powerful and efficient AI models.