> For the complete documentation index, see [llms.txt](https://run-ai-docs.nvidia.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://run-ai-docs.nvidia.com/multi-tenant/2.25/organization-life-cycle/organization-onboarding/provision-kubernetes-clusters.md).

# Provision Kubernetes Clusters

As part of onboarding a new tenant, the host organization is responsible for setting up a dedicated Kubernetes environment that will host the NVIDIA Run:ai platform.

## Deployment Scenarios

You can deploy the cluster using your preferred **Infrastructure as a Service (IaaS)** provider. Supported environments include:

* **On-premise** - Rancher, OpenShift, BCM, and OpenStack (recommended)
* **Public cloud** - GCP, AWS, OCI, and Azure

Select the platform that best fits your infrastructure and operational requirements.

## Required Steps

* **Cluster provisioning** - Create and allocate a dedicated Kubernetes cluster for the tenant to ensure workload isolation and compliance.
* **Kubernetes installation** - Set up and configure Kubernetes on the provisioned infrastructure to prepare for NVIDIA Run:ai deployment.


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