Installing Run:AI over network file storage¶
Run:AI is storing data on a filesystem. How this storage is configured differs according to the customer environment and usage:
When the purpose of the installation is a production environment, then it is a good practice to setup the system such that if one node is down, the Run:AI software will seamlessly migrate to another node. For this, the storage has to reside on shared storage
The Run:AI cluster installation is performed by accessing the Administrator User Interface at app.run.ai downloading a YAML file
runai-operator.yaml and then applying it to Kubernetes. You must edit the YAML file before applying it to Kubernetes.
nfs-client-provisioner: nfs: server: <IP-address> path: /path/to/folder global: nfs: enabled: true
- Provide the IP Address for the NFS server
- Provide a path to an existing folder that Run:AI can use. The folder should have read, write and execute permissions for all (
chmod 777 <folder-name>).