Ensure that your AWS SageMaker notebook instances are running inside a Virtual Private Cloud in order to able to access VPC-only resources such as Amazon EFS file systems, resources which cannot be accessed outside a VPC network. A SageMaker notebook instance is a Machine Learning (ML) compute instance running on Jupyter Notebook software.
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Deploying and running your Amazon SageMaker notebook instances inside a VPC enables the instances to access all AWS resources available within that VPC using private IP addresses.
To determine if your Amazon SageMaker notebook instances are running within a VPC network, perform the following actions:
Remediation / Resolution
To ensure that your AWS SageMaker notebook instances are running inside a VPC, you need to re-create these instances with the necessary network configuration. To deploy your AWS SageMaker notebook instance within a Virtual Private Cloud (VPC), perform the following actions:
- AWS Documentation
- Amazon SageMaker
- Amazon SageMaker FAQs
- What Is Amazon SageMaker?
- Step 2: Create an Amazon SageMaker Notebook Instance
- Notebook Instance Security
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Amazon SageMaker Notebook Instance In VPC
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