Video description
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
Useful links:
* Github Repository with summary instructions
* Create a File share documentation on Azure
* Data Science VMs in Azure
Table of contents
Product information
- Title: Azure Remote Compute for VSCode
- Author(s):
- Release date: January 2022
- Publisher(s): Pragmatic AI Labs
- ISBN: 50126VIDEOPAIML
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