ray-on-gke/templates/tfvars_examples/raycluster-with-gcsfuse-volumes.tfvars

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##common variables
## Need to pull this variables from tf output from previous platform stage
project_id = "<your project ID>"

## this is required for terraform to connect to GKE master and deploy workloads
create_cluster   = false # this flag will create a new standard public gke cluster in default network
cluster_name     = "<cluster name>"
cluster_location = "us-central1"

#######################################################
####    APPLICATIONS
#######################################################

## GKE environment variables
kubernetes_namespace = "ai-on-gke"

# Creates a google service account & k8s service account & configures workload identity with appropriate permissions.
# Set to false & update the variable `workload_identity_service_account` to use an existing IAM service account.
create_service_account            = true
workload_identity_service_account = "ray-service-account"

# Bucket name should be globally unique.
create_gcs_bucket  = true
gcs_bucket         = "<add-your-bucket>"
create_ray_cluster = true
ray_cluster_name   = "ray-cluster"