DataSpell & AWS SageMaker Instance

Hello,

Long time PyCharm user here, mostly for data-science capabilities...

I'm wondering if DataSpell can connect to a SageMaker instance and use the EC2 instance hardware (i.e. virtual CPUs, GPUs, RAM, etc.) to run data transformations and machine learning model training on python and Jupyter notebook files?

I.e. I want all the advantages of DataSpell on my local computer (git, debugging, auto-complete, refactoring, etc.), while having all the advantages of a SageMaker instance on AWS (scalable compute hardware, fast training, etc.) to run python and Jupyter notebook files.

 

Thank you kindly,

J

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Hi Julean, thank you for your feedback! Please track progress of this issue

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Hi Nadezhda, 

Thank you for your response. 

Are you able to provide an update on this topic? This issue is two years old and there are no comments or description of the issue.

Perhaps a more direct question... is this currently possible under DataSpell or not?

 

Thank you again for your time,

Julean

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I'm interested in this feature also. Please let us posted asap.

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