Use a GPU | TensorFlow Core

TensorFlow code, and tf.keras models will transparently run on a single GPU with no code changes required. The simplest way to run on multiple GPUs, on one or many machines, is using Distribution Strategies. This guide is for users who have tried these approaches and found that they need fine-grained control of how TensorFlow uses the GPU. To learn how to debug performance issues for single and mu