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NVIDIA Config Manager
What it is
NVIDIA Config Manager automates bootstrapping and operation of NVIDIA AI-factory network infrastructure. It runs on cloud-hosted or on-premises Kubernetes and is deployed with Helm; an installer supports interactive and headless command-line workflows. Documented operations include configuration backup and deployment, cable and hardware validation, password rotation, reprovisioning, and operating system or firmware upgrades. The platform includes workflow orchestration, template rendering, PostgreSQL-backed configuration storage, zero-touch provisioning, and Kea DHCP configuration generation. Nautobot is the default data center infrastructure management provider, while other providers can connect through the provider-neutral SDK. Browser sign-in uses an OIDC proxy, and API clients authenticate with bearer tokens. Approval workflows and an audit trail support day-two changes. Airgapped deployment bundles can include charts, images, manifests, and an offline installer. A standard deployment requires Kubernetes access, kubectl, Helm 3.x, Python 3.13 or later, and uv. The repository identifies the software as Developer Preview and says it is not recommended for production use.
For and against
For
- Documents cloud-hosted and on-premises deployments
- Includes zero-touch provisioning and Kea DHCP configuration generation
- Supports approval workflows and configuration audit trails
- Offers an airgapped deployment bundle
Against
- In Developer Preview and not recommended for production use
- Requires Kubernetes access, kubectl, Helm 3.x, Python 3.13 or later, and uv
- Production or high-availability validation sizing specifies at least three nodes
The verdict
Config Manager brings infrastructure workflows and change controls together for NVIDIA AI-factory networking. Its Developer Preview status and deployment requirements make it a fit for evaluation rather than production use.
Who it suits
Config Manager is intended for network infrastructure administrators who deploy and maintain the platform, and operators who run workflows and manage network operations. It suits teams working with Kubernetes-based infrastructure.
Plans and prices
Apache 2.0 open-source license
Developer Preview · not recommended for production use
Read 4 Oct 2026 · github.com
On the record
- Authentication
- Browser authentication uses an OIDC proxy, while API clients can authenticate with bearer tokens.docs.nvidia.com · read 4 Oct 2026
- Change controls
- The platform supports approval workflows for day-two changes and documents an audit trail for configuration changes.docs.nvidia.com · read 4 Oct 2026
- Core services
- The platform includes workflow orchestration, template rendering, PostgreSQL-backed configuration storage, zero-touch provisioning, and Kea DHCP configuration generation.docs.nvidia.com · read 4 Oct 2026
- DCIM integration
- Nautobot is the bundled default DCIM provider, and other providers can integrate through the provider-neutral DCIM SDK.docs.nvidia.com · read 4 Oct 2026
- Deployment
- The platform is deployed with Helm on a Kubernetes cluster, with an installer offering interactive TUI and headless CLI workflows.github.com · read 4 Oct 2026
- Hosting
- Documented deployment models include cloud-hosted and on-premises Kubernetes deployments.docs.nvidia.com · read 4 Oct 2026
- Intended users
- The documented primary personas are network infrastructure administrators who deploy and maintain the platform and operators who run workflows and manage network operations.docs.nvidia.com · read 4 Oct 2026
- Network operations
- Documented workflows include configuration backup and deployment, cable and hardware validation, password rotation, reprovisioning, and operating system or firmware upgrades.docs.nvidia.com · read 4 Oct 2026
- Offline deployment
- An airgapped deployment bundle can include the Helm chart, container images, dependency charts and manifests, and an offline installer package.docs.nvidia.com · read 4 Oct 2026
- Preview status
- The repository describes Config Manager as in Developer Preview and not recommended for production use.github.com · read 4 Oct 2026
- Purpose
- NVIDIA Config Manager automates bootstrapping and operation of NVIDIA AI-factory network infrastructure.docs.nvidia.com · read 4 Oct 2026
- Requirements
- A standard deployment requires Kubernetes access, kubectl, Helm 3.x, Python 3.13 or later, and uv; some deployment workflows also use Docker and Kind.docs.nvidia.com · read 4 Oct 2026
- Scale
- The documented large sizing profile for production or high-availability validation specifies 96 total vCPUs, 256 GB total RAM, and at least three nodes.docs.nvidia.com · read 4 Oct 2026
- Support and security reporting
- The repository links to a support policy and instructs users to report security vulnerabilities through its private disclosure process rather than public GitHub issues.github.com · read 4 Oct 2026
