Azure remote compute for VSCode.

Format:

Video

Contributor:

Deza, Alfredo, presenter.

Pragmatic AI Solutions (Firm), publisher.

Language:

English

Subjects (All):

Web services.

Cloud computing.

Windows Azure.

Physical Description:

1 online resource (1 video file (29 min.)) : sound, color.

Edition:

[First edition].

Place of Publication:

[Place of publication not identified] : Pragmatic AI Solutions, 2022.

Summary:

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.

Notes:

OCLC-licensed vendor bibliographic record.

OCLC:

1299232313