Preparations

The following section provides the information needed to prepare for a NVIDIA Run:ai installation.

Software Artifacts

The following should be used when installing the control plane. You should receive a token from NVIDIA Run:ai customer support. The following command provides access to the NVIDIA Run:ai container registry:

kubectl create secret docker-registry runai-reg-creds  \
--docker-server=https://runai.jfrog.io \
--docker-username=self-hosted-image-puller-prod \
--docker-password=<TOKEN> \
[email protected] \
--namespace=runai-backend

Private Docker Registry (Optional)

To access the organization's docker registry it is required to set the registry's credentials (imagePullSecret).

Create the secret named runai-reg-creds based on your existing credentials. For more information, see Pull an Image from a Private Registryarrow-up-right.

Set Up Your Environment

External Postgres Database (Optional)

If you have opted to use an external PostgreSQL database, you need to perform initial setup to ensure successful installation. Follow these steps:

  1. Create a SQL script file, edit the parameters below, and save it locally:

    • Replace <DATABASE_NAME> with a dedicate database name for NVIDIA Run:ai in your PostgreSQL database.

    • Replace <ROLE_NAME> with a dedicated role name (user) for NVIDIA Run:ai database.

    • Replace <ROLE_PASSWORD> with a password for the new PostgreSQL role.

    • Replace <GRAFANA_PASSWORD> with the password to be set for Grafana integration.

  2. Run the following command on a machine where PostgreSQL client (pgsql) is installed:

    • Replace <POSTGRESQL_HOST> with the PostgreSQL ip address or hostname.

    • Replace <POSTGRESQL_USER> with the PostgreSQL username.

    • Replace <POSTGRESQL_PORT> with the port number where PostgreSQL is running.

    • Replace <POSTGRESQL_DB> with the name of your PostgreSQL database.

    • Replace <POSTGRESQL_DB> with the name of your PostgreSQL database.

    • Replace <SQL_FILE> with the path to the SQL script created in the previous step.

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