StopNotebookInstance
Terminates the ML compute instance. Before terminating the instance, SageMaker AI disconnects the ML storage volume from it. SageMaker AI preserves the
ML storage volume. SageMaker AI stops charging you for the ML compute instance when
you call StopNotebookInstance.
To access data on the ML storage volume for a notebook instance that has been
terminated, call the StartNotebookInstance API.
StartNotebookInstance launches another ML compute instance, configures
it, and attaches the preserved ML storage volume so you can continue your work.
Request Syntax
{
"NotebookInstanceName": "string"
}Request Parameters
For information about the parameters that are common to all actions, see Common Parameters.
The request accepts the following data in JSON format.
- NotebookInstanceName
-
The name of the notebook instance to terminate.
Type: String
Length Constraints: Maximum length of 63.
Pattern:
^[a-zA-Z0-9](-*[a-zA-Z0-9])*Required: Yes
Response Elements
If the action is successful, the service sends back an HTTP 200 response with an empty HTTP body.
Errors
For information about the errors that are common to all actions, see Common Errors.
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
