Amazon SageMaker Notebook Instances
An Amazon SageMaker notebook instance is a machine learning (ML) compute instance running the Jupyter Notebook App. SageMaker manages creating the instance and related resources. Use Jupyter notebooks in your notebook instance to prepare and process data, write code to train models, deploy models to SageMaker hosting, and test or validate your models.
SageMaker also provides sample notebooks that contain complete code walkthroughs. These walkthroughs show how to use SageMaker to perform common machine learning tasks. For more information, see Example Notebooks.
For information about pricing with Amazon SageMaker notebook instance, see Amazon SageMaker Pricing
Topics
- Use Notebook Instances to build models
- Amazon Linux 2 notebook instances
- JupyterLab versioning
- Create a Notebook Instance
- Access Notebook Instances
- Update a Notebook Instance
- Customize a Notebook Instance Using a Lifecycle Configuration Script
- Example Notebooks
- Set the Notebook Kernel
- Associate Git Repositories with SageMaker Notebook Instances
- Notebook Instance Metadata
- Monitor Jupyter Logs in Amazon CloudWatch Logs