Using Google Kubernetes Engine (GKE)

You can use containerized execution on GKE as a fully managed Kubernetes solution.

For a complete Elastic AI setup in Google Cloud Platform including elastic storage and elastic compute based on Kubernetes, we recommend that you read our dedicated GCP documentation

• Using managed GKE clusters
  • Initial setup
    • Install the GKE plugin
    • Prepare your local commands
    • Create base images
    • Create a new execution configuration
  • Cluster configuration
    • Connection
    • Network settings
    • Cluster nodes
  • Using GPUs
    • Building an image with CUDA support
    • Enable GPU support on the cluster
    • Add a custom reservation
    • Deploy
• Using unmanaged GKE clusters
  • Setup
    • Create your GKE cluster
    • Prepare your local gcloud, docker, and kubectl commands
    • Create base images
    • Create the execution configuration
  • Using GPUs
    • Building an image with CUDA support
    • Enable GPU support on the cluster
    • Add a custom reservation
    • Deploy