DataSpell & AWS Sagemaker Connection

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Haven't been able to find this answer online, so I'm asking the stackoverflow community...

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.

dataspell amazon-sagemaker jupyter-notebook pycharm python
1 Answers

This can not be done. You can't bring your own IDE to SageMaker. You can use SageMaker's native IDE - SageMaker Studio which will give you an integrated experience with all of SageMaker's capabilities.

I work at AWS and my opinions are my own.

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