Amazon SageMaker Unified Studio is in preview release and is subject to change.
Compute
On a project's Compute page in the Amazon SageMaker Unified Studio, you can view compute information and add existing compute resources such as Amazon Redshift and Amazon EMR Serverless clusters to your Amazon SageMaker Unified Studio. Amazon SageMaker Unified Studio supports three kinds of compute resources:
Serverless: Workgroups are a collection of compute resources that you can use to run data warehousing queries and engineering notebooks without managing underlying infrastructure. This includes Amazon Redshift Serverless workgroups, which are especially useful in environments where query patterns are unpredictable or workloads fluctuate.
Clusters: Clusters are scalable compute environments that enable the processing and analysis of large datasets. Amazon Redshift clusters and Amazon EMR Serverless clusters are optimized for running SQL-based queries on data warehouses, making them ideal for structured data analytics and reporting.
Spaces: Spaces are used to manage the storage and resource needs of applications running on JupyterLab. On the spaces tab of the Compute page, you can view information about your JupyterLab Amazon SageMaker AI environment, such as the EBS volume and the status of the IDE.
Note
Adding a serverless or cluster compute connection adds the compute resource to the project space, so all project members can access it.
