Increasing processing power of Azure Machine Learning workspace

Question

Is there a way to increase the processing power of the Azure ML? I've deployed a neural network on a huge dataset (8000+ retina images, and Azure is taking an impossible amount of time to run the program. Is it possible to deploy the ML workspace from a Virtual Machine, so that I can leverage increased processing speeds? Help!!

Answer 1

You can refer to this document: click here Upgrading the tier of your Azure ML studio can help a bit in increasing the performance.

You cannot deploy Azure ML workspace into VM. You can use VM separately for your data science tasks.  Click here