SageMaker / Client / stop_notebook_instance
Terminates the ML compute instance. Before terminating the instance, SageMaker disconnects the ML storage volume from it. SageMaker preserves the ML storage volume. SageMaker stops charging you for the ML compute instance when you call
To access data on the ML storage volume for a notebook instance that has been terminated, call the
StartNotebookInstancelaunches another ML compute instance, configures it, and attaches the preserved ML storage volume so you can continue your work.
See also: AWS API Documentation
response = client.stop_notebook_instance( NotebookInstanceName='string' )
NotebookInstanceName (string) –
The name of the notebook instance to terminate.