Step up your local setup by setting a remote compute instance with attached SMB storage and then connect your local VSCode editor so that you can execute code and Jupyter Notebooks remotely.
In this video I go through everything you need to know to crete a compute instance in Azure, both in Azure Machine Learning Studio and using the Data Science Virtual Machine spot instance that allows you to save costs when running a high memory with GPU instance.
Because remote compute instances in the cloud should be considered ephemeral, specially if you are using spot instances, this video also covers setting up a storage account and a file share configuration for a Samba share that allows you to attach that same storage to any compute.
Topics include:

Create an Azure compute instance
Learn about Spot Instances and other cost savings
Setup VSCode for remote code execution
Create an SMB file share and attach it to a VM
Execute Jupyter Notebooks remotely

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