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Balance deep learning jobs with Elastic Distributed Training

About this video

In this video, see how you can use elastic distributed training to balance IBM Watson® Machine Learning Accelerator jobs in IBM Cloud Pak® for Data. Using Watson Machine Learning Accelerator, GPUs are dynamically allocated to data scientists currently running workloads. As these workloads change, GPU resources can be allocated across business units, allowing for shared GPU resources among data scientists. Learn more in the Elastic Distributed Training in Watson Machine Learning Accelerator article.

To view other videos related to Watson Machine Learning Accelerator, see Videos.