![Azure Remote Compute for VSCode [Video]](https://pixhost.icu/avaxhome/30/bd/008bbd30_medium.jpg)
Azure Remote Compute for VSCode [Video]
![Azure Remote Compute for VSCode [Video]](https://pixhost.icu/avaxhome/30/bd/008bbd30.jpg)
Azure Remote Compute for VSCode
English | 2022 | h264, yuv420p, 1920x1080 | 48000 Hz, 2channels | Duration: 28m | 274 MB
English | 2022 | h264, yuv420p, 1920x1080 | 48000 Hz, 2channels | Duration: 28m | 274 MB
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