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Use Amazon SageMaker Studio Classic Notebooks - Amazon SageMaker

Use Amazon SageMaker Studio Classic Notebooks

Important

As of November 30, 2023, the previous Amazon SageMaker Studio experience is now named Amazon SageMaker Studio Classic. The following section is specific to using the Studio Classic application. For information about using the updated Studio experience, see Amazon SageMaker Studio.

Amazon SageMaker Studio Classic notebooks are collaborative notebooks that you can launch quickly because you don't need to set up compute instances and file storage beforehand. Studio Classic notebooks provide persistent storage, which enables you to view and share notebooks even if the instances that the notebooks run on are shut down.

You can share your notebooks with others, so that they can easily reproduce your results and collaborate while building models and exploring your data. You provide access to a read-only copy of the notebook through a secure URL. Dependencies for your notebook are included in the notebook's metadata. When your colleagues copy the notebook, it opens in the same environment as the original notebook.

A Studio Classic notebook runs in an environment defined by the following:

  • Amazon EC2 instance type – The hardware configuration the notebook runs on. The configuration includes the number and type of processors (vCPU and GPU), and the amount and type of memory. The instance type determines the pricing rate.

  • SageMaker image – A container image that is compatible with SageMaker Studio Classic. The image consists of the kernels, language packages, and other files required to run a notebook in Studio Classic. There can be multiple images in an instance. For more information, see Bring your own SageMaker image.

  • KernelGateway app – A SageMaker image runs as a KernelGateway app. The app provides access to the kernels in the image. There is a one-to-one correspondence between a SageMaker image and a KernelGateway app.

  • Kernel – The process that inspects and runs the code contained in the notebook. A kernel is defined by a kernel spec in the image. There can be multiple kernels in an image.

You can change any of these resources from within the notebook.

The following diagram outlines how a notebook kernel runs in relation to the KernelGateway App, User, and domain.

How a notebook kernel runs in relation to the KernelGateway App, User, and domain.

Sample SageMaker Studio Classic notebooks are available in the aws_sagemaker_studio folder of the Amazon SageMaker example GitHub repository. Each notebook comes with the necessary SageMaker image that opens the notebook with the appropriate kernel.

We recommend that you familiarize yourself with the SageMaker Studio Classic interface and the Studio Classic notebook toolbar before creating or using a Studio Classic notebook. For more information, see Amazon SageMaker Studio Classic UI Overview and Use the Studio Classic Notebook Toolbar.

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