Amazon SageMaker | Hosted Jupyter notebooks

Question 1

What if I have my own notebook, training, or hosting environment?

Hosted Jupyter notebooks

Amazon SageMaker | Machine Learning

Answer 1

Amazon SageMaker provides a full end-to-end workflow, but you can continue to use your existing tools with Amazon SageMaker. You can easily transfer the results of each stage in and out of Amazon SageMaker as your business requirements dictate.

Question 2

What types of notebooks are supported?

Hosted Jupyter notebooks

Amazon SageMaker | Machine Learning

Answer 2

Currently, Jupyter notebooks are supported.

Question 3

How do you persist notebook files when I stop my workspace?

Hosted Jupyter notebooks

Amazon SageMaker | Machine Learning

Answer 3

You can persist your notebook files on the attached ML storage volume. The ML storage volume will be detached when the notebook instance is shut down and reattached when the notebook instance is relaunched. Items stored in memory will not be persisted.

Question 4

How do I increase the available resources in my notebook?

Hosted Jupyter notebooks

Amazon SageMaker | Machine Learning

Answer 4

You can modify the notebook instance and select a larger profile through the Amazon SageMaker console, after saving your files and data on the attached ML storage volume. The notebook instance will be restarted with greater available resources, with the same notebook files and installed libraries.