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replicaCount: 1

image:
  imageName: nvcr.io/nvidia/tritonserver:26.08-py3
  pullPolicy: IfNotPresent
  numGpus: 1
  serverCommand: tritonserver
  serverArgs:
    # Model Repository Configuration (REQUIRED)
    #
    # Configure sources for model repository below.  Multiple repositories
    # can be specified
    #
    # To download models from an S3 bucket, uncomment and configure below
    # To specify a non-AWS S3 endpoint, use the form
    #  s3://https://your-s3-endpoint:443/bucket/model_repository
    #
    #- --model-repository=s3://triton-inference-server-repository/model_repository
    #
    # Model Control Mode (Optional, default: none)
    #
    # To set model control mode, uncomment and configure below
    # TODO: Fix the following url, it is invalid
    # See https://github.com/triton-inference-server/server/blob/r26.08/docs/user_guide/model_management.md
    #  for more details
    #- --model-control-mode=explicit|poll|none
    #
    # Additional server args
    #
    # see https://github.com/triton-inference-server/server/blob/r26.08/README.md
    #  for more details

service:
  # for Fleet Command, type should be NodePort
  type: NodePort
  # the following ports will be the external port opened for each service
  httpNodePort: 30343
  grpcNodePort: 30344
  metricsNodePort: 30345

# AWS
#secret:
  # update the following with base64 encoded parameters
#  region: AWS_REGION
#  id: AWS_SECRET_KEY_ID
#  key: AWS_SECRET_ACCESS_KEY
#  token: AWS_SESSION_TOKEN

# Prometheus-Operator ServiceMonitor support
# change enabled to 'true' to enable a ServiceMonitor if your cluster has
#  Prometheus-Operator installed
serviceMonitor:
  enabled: false