Effective Load Balancing with Ray on Amazon SageMaker

A method for increasing DNN training efficiency and reducing training costs

In previous posts (e.g., here) we expanded on the importance of profiling and optimizing the performance of your DNN training workloads. Training deep learning models — especially large ones — can be an expensive undertaking. Your ability to maximize the utilization of your training resources in a manner that both accelerates your model convergence and minimizes training costs, can be a decisive …

amazon amazon sagemaker deep learning dnn efficiency hands-on-tutorials importance optimization performance profiling pytorch ray sagemaker training workloads