Save costs training on AMLCompute

With ever changing data and customer signals continuous training and retraining can incur higher costs, especially on GPUs for deep learning models. In AzureML, we have heard this concern loud and clear, and we want to share some tips to manage your costs and spend your budget wisely.

For more tips like this, check out the working remotely playlist at www.youtube.com/FoetronAcademy. 

Also, if you need any further assistance then you can raise a support ticket (https://cloud.foetron.com/) and get it addressed.