# Create a space
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To get started using JupyterLab, create a space or choose the space that your administrator created for you and open JupyterLab.

Use the following procedure to create a space and open JupyterLab.

**To create a space and open JupyterLab**

1. Open Studio. For information about opening Studio, see [Launch Amazon SageMaker Studio](studio-updated-launch.md).

1. Choose **JupyterLab**.

1. Choose **Create JupyterLab space**.

1. For **Name**, specify the name of the space.

1. (Optional) Select **Share with my domain** to create a shared space.

1. Choose **Create space**.

1. (Optional) For **Instance**, specify the Amazon EC2 instance that runs the space.

1. (Optional) For **Image**, specify an image that your administrator provided to customize your environment.
**Important**  
Custom IAM policies that allow Studio users to create spaces must also grant permissions to list images (`sagemaker: ListImage`) to view custom images. To add the permission, see [ Add or remove identity permissions](https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_manage-attach-detach.html) in the *AWS Identity and Access Management* User Guide.   
[AWS managed policies for Amazon SageMaker AI](security-iam-awsmanpol.md) that give permissions to create SageMaker AI resources already include permissions to list images while creating those resources.

1. (Optional) For **Space Settings**, specify the following:
   + **Storage (GB)** – Up to 100 GB or the amount that your administrator specifies.
   + **Lifecycle Configuration** – A lifecycle configuration that your administrator specifies.
   + **Attach custom EFS filesystem** – An Amazon EFS to which your administrator provides access.

1. Choose **Run space**.

1. Choose **Open JupyterLab**.