capabilities.work

Provision Notebook Instance

A 2-step recipe with Amazon SageMaker. We can help you get access.

Recipe · 2 steps

Provision Notebook Instance

with Amazon SageMaker · Artificial Intelligence Management

Create a notebook instance and poll it to an in-service state.

  1. Launch a managed Jupyter notebook instance with the requested instance type, IAM role, and optional storage volume size.
  2. Describe the notebook instance to read its status. Repeat while the status remains Pending and continue once it reaches a terminal state such as InService or Failed.
What you'll need to have ready
  • notebookInstanceName: A unique name for the notebook instance.
  • instanceType: The type of ML compute instance to launch for the notebook.
  • roleArn: The ARN of the IAM role SageMaker assumes for the notebook instance.
  • volumeSizeInGB: The size of the ML storage volume to attach, in GB.
For your developer

Arazzo workflow amazon-sagemaker:provision-notebook-instance, 2 operations: CreateNotebookInstance → DescribeNotebookInstance. Specs on APIs.io.

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