> 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/self-hosted/2.25/getting-started/installation/bcm-install.md). # Install Using Base Command Manager (BCM) NVIDIA Base Command Manager (BCM) provides an automated installation path for NVIDIA Run:ai on DGX SuperPOD and BasePOD systems. From BCM 11.33.1, the BCM `cm-kubernetes-setup` wizard provisions Kubernetes and configures the required components (GPU Operator, Network Operator, MetalLB, Kgateway, Prometheus), after which the dedicated `cm-runai-setup` wizard deploys the NVIDIA Run:ai control plane and cluster. This section covers everything needed to complete a BCM-based NVIDIA Run:ai deployment: * [**Preparations**](/self-hosted/2.25/getting-started/installation/bcm-install/preparations.md) - Infrastructure requirements that must be in place before deployment: IP address reservations, DNS records, TLS certificates, registry credentials, and BCM node categories. Applies to both connected and air-gapped deployments. * [**Connected deployment**](/self-hosted/2.25/getting-started/installation/bcm-install/deployment.md) - Step-by-step walkthrough of both installation wizards for internet-connected clusters. * [**Air-Gapped deployment**](/self-hosted/2.25/getting-started/installation/bcm-install/airgapped-deployment.md) - End-to-end deployment guide for clusters with no internet access. The DGX platform configuration pages ([B200](/self-hosted/2.25/getting-started/installation/bcm-install/dgx-b200-configuration.md), [B300](/self-hosted/2.25/getting-started/installation/bcm-install/dgx-b300-configuration.md), [GB200](/self-hosted/2.25/getting-started/installation/bcm-install/dgx-gb200-configuration.md), [GB300](/self-hosted/2.25/getting-started/installation/bcm-install/dgx-gb300-configuration.md)) contain hardware-specific files required during deployment. [Validation tests](/self-hosted/2.25/getting-started/installation/bcm-install/validation-tests.md) provide post-deployment checks to confirm the installation is functioning correctly. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://run-ai-docs.nvidia.com/self-hosted/2.25/getting-started/installation/bcm-install.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.