The following network requirements are for the NVIDIA Run:ai components installation and usage.
Set out below are the domains to whitelist and ports to open for installation, upgrade, and usage of the application and its management.
Note
Ensure the inbound and outbound rules are correctly applied to your firewall.
To allow your organization’s NVIDIA Run:ai users to interact with the cluster using the NVIDIA Run:ai Command-line interface, or access specific UI features, certain inbound ports need to be open:
NVIDIA Run:ai control plane
NVIDIA Run:ai system nodes
NVIDIA Run:ai system nodes
Note
Outbound rules applied to the NVIDIA Run:ai cluster component only. In case the NVIDIA Run:ai cluster is installed together with the NVIDIA Run:ai control plane, the NVIDIA Run:ai cluster FQDN refers to the NVIDIA Run:ai control plane FQDN.
For the NVIDIA Run:ai cluster installation and usage, certain outbound ports must be open:
Sync NVIDIA Run:ai cluster with NVIDIA Run:ai control plane
NVIDIA Run:ai system nodes
NVIDIA Run:ai control plane FQDN
Push NVIDIA Run:ai cluster metrics to NVIDIA Run:ai control plane's metric store
NVIDIA Run:ai system nodes
NVIDIA Run:ai control plane FQDN
Pull NVIDIA Run:ai images
NVIDIA Run:ai Helm repository for installation
The NVIDIA Run:ai installation has software requirements that require additional components to be installed on the cluster. This article includes simple installation examples which can be used optionally and require the following cluster outbound ports to be open:
Ingress Nginx image repository
Google Container Registry
GPU Operator, and Knative image repository
Red Hat Container Registry
Prometheus Operator image repository
Training Operator image repository
Ensure that all Kubernetes nodes can communicate with each other across all necessary ports. Kubernetes assumes full interconnectivity between nodes, so you must configure your network to allow this seamless communication. Specific port requirements may vary depending on your network setup.
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