TensorFlow has an API called tf.distribute.Strategy to distribute training across multiple GPUs. Training at scale for Google Cloud is described in detail at https://cloud.google.com/ai-platform/training/docs/training-at-scale.
Distributed training using TensorFlow is covered using the tf.distribute.Strategy API. Using this API, TensorFlow training can be distributed using multiple GPUs or TPUs. For a detailed overview of distributed training, including examples, go to https://www.tensorflow.org/guide/distributed_training.
Distributed training can also be set up in a cloud compute engine. In order to turn this functionality on, enable Cloud Shell in GCP. In the TensorFlow cluster, set up a virtual machine instance of a master and several workers and execute training jobs in each of these machines. For detailed information, you can go to https:/...
