provider: existing
namespace: nebari
nebari_version: 2024.11.1
project_name: nebari
domain: <my-hostname>
ci_cd:
  type: none
terraform_state:
  type: remote
security:
  keycloak:
    initial_root_password: <secure-password>
  authentication:
    type: password
theme:
  jupyterhub:
    hub_title: Nebari - nebari
    welcome: Welcome! Learn about Nebari's features and configurations in <a href="https://www.nebari.dev/docs/welcome">the
      documentation</a>. If you have any questions or feedback, reach the team on
      <a href="https://www.nebari.dev/docs/community#getting-support">Nebari's support
      forums</a>.
    hub_subtitle: Your open source data science platform, hosted
existing:
  kube_context: <my-k8s-context>
  node_selectors:
    general:
      key: kubernetes.io/os
      value: linux
    user:
      key: kubernetes.io/hostname
      value: node1
    worker:
      key: kubernetes.io/hostname
      value: node1

certificate:
  type: existing
  secret_name: nebari-tls
monitoring:
  enabled: false
profiles:
  jupyterlab:
  - access: all
    display_name: Small Instance with GPU
    description: Stable environment with 2 cpu / 8 GB ram / 1 GPU
    default: true
    kubespawner_override:
      cpu_limit: 2.0
      cpu_guarantee: 1.5
      mem_limit: 8G
      mem_guarantee: 5G
      image: quay.io/nebari/nebari-jupyterlab-gpu:2024.11.1
      extra_resource_limits:
        nvidia.com/gpu: 1
      #node_selector:
      #"dedicated": "worker"
      #"kubernetes.io/hostname": "node1"

environments:
  environment-jupyterlab.yaml:
    name: jupyterlab
    channels:
      - pytorch
      - nvidia
      - conda-forge
    dependencies:
      - python==3.11
      - pytorch
      - ipykernel
      - pytorch-cuda==11.8