Create an Amazon Braket notebook instance - Amazon Braket

Create an Amazon Braket notebook instance

Amazon Braket provides fully-managed Jupyter notebooks to get you started. The Amazon Braket notebook instances are based on Amazon SageMaker notebook instances. You can learn more about notebook instances. To get started with Braket, follow these steps to create an Amazon Braket notebook instance.

  1. Open the Amazon Braket console.

  2. Choose Notebooks in the left pane, then choose Create notebook.

  3. In Notebook instance settings, enter a Notebook instance name using only alphanumeric and hyphen characters.

  4. Select the Notebook instance type. Choose the smallest type you need. To get started, choose a cost-effective instance type, such as ml.t3.medium. The instance types are Amazon SageMaker notebook instances. To learn more, see Amazon SageMaker pricing.

  5. In Permissions and encryption, select Create a new role (a new role with a name that begins with`AmazonBraketServiceSageMakerNotebook` is created).

  6. If you want to associate a public Github repository with your notebook instance, click on the Git repository dropdown and select Clone a public git repository from url from the Repository dropdown menu. Enter the URL of the repo in the Git repository URL text bar.

                  braket get started githhub repo2
  7. Choose Create notebook instance.

    It takes several minutes to create the notebook. The notebook is displayed on the Notebooks page with a status of Pending. When the notebook instance is ready to use, the status changes to InService. You may need to refresh the page to display the updated status for the notebook.


You can view and manage your Amazon Braket notebook instances in the Amazon Braket and Amazon SageMaker consoles. Additional Amazon Braket notebook settings are available through the SageMaker console.

If you’re working in the Amazon Braket console within AWS, as given previously, the Amazon Braket SDK and plugins are preloaded in the notebooks you just created. If you want to run on your own machine, you can install the SDK and plugins when you run the command pip install amazon-braket-sdk or when you run the command pip install amazon-braket-pennylane-plugin (the latter for use with PennyLane plugins).