values.yaml

# Default values for morpheus-mlflow
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.

replicaCount: 1

ngc:
  username: "$oauthtoken"
  apiKey: ""
  org: ""
  team: ""

mlflow:
  registry: "nvcr.io/nvidia/morpheus"
  image: mlflow-triton-plugin
  version: 1.30.0
  # note that these mlflow volumes are dynamically created in the deployment
  # so if you want different mount points in your args
  # then you need to also review the hostPath mounts in the deployment
  args: "mlflow server -h 0.0.0.0 -p 5000 --backend-store-uri sqlite:////mlflow/db/mlflow-db.sqlite --serve-artifacts --artifacts-destination /mlflow/artifacts --default-artifact-root /mlflow/artifacts --static-prefix /morpheus/mlflow"
  # ensure this URI value agrees with the URI of your server launch command above
  # it is also needed by the Triton plugin
  tracking_uri: "sqlite:////mlflow/db/mlflow-db.sqlite"
  # before running mlflow, run its db migration tool
  # setting to false means you want to maintain
  # an earlier db schema or do the migration manually
  migrate: true
  # make the MLflow deployment Pending of
  # where the AI Engine is scheduled
  withEngine: false

dashboardPort: 30500
hostCommonPath: /opt/morpheus/common

# use 'Always' for development
imagePullPolicy: IfNotPresent

imagePullSecrets:
- name: nvidia-registrykey-secret
# for Fleet Command deployments
# - name: imagepullsecret

# we need privileged pods to
# use certain hostPaths on OpenShift
serviceAccount:
  create: false
  name: morpheus

platform:
  openshift: false

# deploy a LB (AWS) instead
# of a NodePort
loadBalancer:
  enabled: false