AWS SageMaker Notebook Development Service

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An AWS SageMaker Notebook Development Service is a model authoring service within AWS SageMaker (a fully managed end-to-end machine learning service).



References

2018a

2017

  • https://docs.aws.amazon.com/sagemaker/latest/dg/how-it-works-notebooks-instances.html
    • QUOTE: …

      Attaches An ML storage volume — Attaches a 5 GB ML storage to the ML Compute instance. You can use the volume to clean up the training dataset or to temporarily store other data to work with. There is also 20 GB of instance storage available in the /tmp directory of each Notebook Instance. This is not persistent storage and anything in it will be removed when the instance is stopped or restarted.