GitHub - sayakpaul/tf.keras-Distributed-Training: Shows how to use MirroredStrategy to distribute training workloads when using the regular fit and compile paradigm in tf.keras.
![Multi-GPU and distributed training using Horovod in Amazon SageMaker Pipe mode | AWS Machine Learning Blog Multi-GPU and distributed training using Horovod in Amazon SageMaker Pipe mode | AWS Machine Learning Blog](https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2020/07/28/multi-gpu-distributed-training-2-2.jpg)
Multi-GPU and distributed training using Horovod in Amazon SageMaker Pipe mode | AWS Machine Learning Blog
![Towards Efficient Multi-GPU Training in Keras with TensorFlow | by Bohumír Zámečník | Rossum | Medium Towards Efficient Multi-GPU Training in Keras with TensorFlow | by Bohumír Zámečník | Rossum | Medium](https://miro.medium.com/v2/resize:fit:1400/1*3T2upa_lxi5F9xo7KBX83g.png)
Towards Efficient Multi-GPU Training in Keras with TensorFlow | by Bohumír Zámečník | Rossum | Medium
![A quick guide to distributed training with TensorFlow and Horovod on Amazon SageMaker | by Shashank Prasanna | Towards Data Science A quick guide to distributed training with TensorFlow and Horovod on Amazon SageMaker | by Shashank Prasanna | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/1*8ZQEO4BfflwU6IzYJgfZIQ.png)