Network Requirements

NVIDIA Run:ai requires certain network connectivity and access. This section outlines the network endpoints and protocols that must be reachable from your NVIDIA Run:ai control plane and cluster nodes to support installation, artifact retrieval, and ongoing platform communication.

Meeting these network requirements ensures that:

• The control plane can download necessary images and charts

• Clusters can register with and communicate to the control plane

• The platform can access external services required for monitoring, logging, and artifact distribution

Follow the guidance below to verify and configure network access before proceeding with installation.

External Access

Listed below are the domains to whitelist and ports to open for installation, upgrades, and usage of the application and its management.

Note

Ensure the inbound and outbound rules are correctly applied to your firewall.

Inbound Rules

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:

Name	Description	Source	Destination	Port
NVIDIA Run:ai control plane	HTTPS entry point	0.0.0.0	NVIDIA Run:ai system nodes	443
NVIDIA Run:ai cluster	HTTPS entry point	0.0.0.0	NVIDIA Run:ai system nodes	443

Outbound Rules

Note

Outbound rules are 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:

Name	Description	Source	Destination	Port
Cluster sync	Sync NVIDIA Run:ai cluster with NVIDIA Run:ai control plane	NVIDIA Run:ai cluster system nodes	NVIDIA Run:ai control plane FQDN	443
Metric store	Push NVIDIA Run:ai cluster metrics to NVIDIA Run:ai control plane's metric store	NVIDIA Run:ai cluster system nodes	NVIDIA Run:ai control plane FQDN	443
NVIDIA Run:ai NGC Registry	Pull NVIDIA Run:ai images and Helm chart for installation	All Kubernetes nodes	nvcr.io	443
Container Registry	Pull NVIDIA Run:ai images and Helm chart for installation	All kubernetes nodes	runai.jfrog.io and JFrog Cloud Storage URLs
NVIDIA NGC	Browse NGC catalog	NVIDIA Run:ai control plane system nodes	api.ngc.nvidia.com	443
Hugging Face	Browse Hugging Face models	NVIDIA Run:ai control plane system nodes	huggingface.co	443

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 requires the following cluster outbound ports to be open:

Name	Description	Source	Destination	Port
Kubernetes Registry	Ingress HAProxy image repository	All Kubernetes nodes	docker.io	443
Google Container Registry	GPU Operator, and Knative image repository	All Kubernetes nodes	gcr.io	443
Red Hat Container Registry	Prometheus Operator image repository	All Kubernetes nodes	quay.io	443
Docker Hub Registry	Training Operator image repository	All Kubernetes nodes	docker.io	443

Internal Network

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.