Run interactive IDEs on Amazon EKS with SageMaker AI to power up your AI workflows
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The Amazon SageMaker AI Spaces add-on for Amazon EKS runs managed JupyterLab and Code Editor environments on the cluster your ML team already operates. This post shows how to install and configure the add-on, connect from the browser and from VS Code over SSH-over-SSM, and move your team to OpenID Connect sign-in with Amazon Cognito.
To power up AI workflows on Amazon Elastic Kubernetes Service (Amazon EKS) , data scientists need interactive IDEs like JupyterLab and Code Editor. Yet running those IDEs usually means leaving the cluster that hosts their pipelines, moving to a standalone JupyterHub deployment or a local laptop. That switch leaves them without the GPU nodes, shared storage, and AWS Identity and Access Management (IAM) roles their pipelines depend on. The Amazon SageMaker AI Spaces add-on for Amazon EKS closes…
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