Upgrade JupyterHub to 4.3.2 and JupyterLab to 4.5.3#51
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The gpu_type Terraform variable was unconditionally set to "nvidia", causing the CUDA JupyterHub image to be referenced even on macOS where NVIDIA GPUs are not available. Now gpu_type is set to "nvidia" only when --with-nvidia is used, and "none" otherwise. Co-authored-by: Cursor <cursoragent@cursor.com>
- Upgrade JupyterHub Helm chart from 3.3.8 to 4.3.2 (JupyterHub 5.4.3). - Update Helm repo URL to canonical hub.jupyter.org. - Add Authenticator.allow_all: true to handle JupyterHub 5.x breaking change that defaults to denying all users. - Upgrade jupyterhub pip package from 4.1.6 to 5.4.3 in the Docker image. - Pin jupyterlab to 4.5.3 in the Docker image. - Update pre-pull image tags for configurable-http-proxy and k8s-hub. Co-authored-by: Cursor <cursoragent@cursor.com>
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Summary
hub.jupyter.org/helm-chart/Authenticator.allow_all: truesince JupyterHub 5.x defaults to denying all usersconfigurable-http-proxyandk8s-hubtags to match chart 4.3.2Test plan
terraform -chdir=terraform/icl init -upgrade— JupyterHub chart should download from new repoterraform -chdir=terraform/icl apply— JupyterHub should deploy successfullyhttp://jupyter.localtest.meMade with Cursor