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SPECIFICTION
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NVIDIA Config Manager

docs.nvidia.com

Free plan WebLinuxAPISelf-hosted
Visit docs.nvidia.com
Spec score 7.6 #7 of 24 in Network Provisioning Software

What it is

NVIDIA Config Manager is an open-source platform for bootstrapping and operating NVIDIA AI-factory network infrastructure. It is deployed with Helm on Kubernetes, with an installer that supports interactive and headless command-line workflows. Documented network tasks include configuration backup and deployment, cable and hardware validation, password rotation, reprovisioning, and operating system or firmware upgrades.

Core components include workflow orchestration, template rendering, PostgreSQL-backed configuration storage, zero-touch provisioning, and Kea DHCP configuration generation. Nautobot is the default bundled DCIM provider; other providers can connect through a provider-neutral SDK. Browser authentication uses an OIDC proxy, while API clients use bearer tokens. Approval workflows and an audit trail cover day-two changes. Airgapped bundles can include charts, images, manifests, and an offline installer. Standard deployment requires Kubernetes access, kubectl, Helm 3.x, Python 3.13 or later, and uv. The project describes the software as Developer Preview and not recommended for production use.

Spec sheet

Purpose
NVIDIA Config Manager automates bootstrapping and operation of NVIDIA AI-factory network infrastructure.Read 4 Oct 2026 · docs.nvidia.com
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.Read 4 Oct 2026 · docs.nvidia.com
Deployment
The platform is deployed with Helm on a Kubernetes cluster, with an installer offering interactive TUI and headless CLI workflows.Read 4 Oct 2026 · github.com
Authentication
Browser authentication uses an OIDC proxy, while API clients can authenticate with bearer tokens.Read 4 Oct 2026 · docs.nvidia.com
Change controls
The platform supports approval workflows for day-two changes and documents an audit trail for configuration changes.Read 4 Oct 2026 · docs.nvidia.com
Core services
The platform includes workflow orchestration, template rendering, PostgreSQL-backed configuration storage, zero-touch provisioning, and Kea DHCP configuration generation.Read 4 Oct 2026 · docs.nvidia.com
DCIM integration
Nautobot is the bundled default DCIM provider, and other providers can integrate through the provider-neutral DCIM SDK.Read 4 Oct 2026 · docs.nvidia.com
Hosting
Documented deployment models include cloud-hosted and on-premises Kubernetes deployments.Read 4 Oct 2026 · docs.nvidia.com
Network operations
Documented workflows include configuration backup and deployment, cable and hardware validation, password rotation, reprovisioning, and operating system or firmware upgrades.Read 4 Oct 2026 · docs.nvidia.com
Offline deployment
An airgapped deployment bundle can include the Helm chart, container images, dependency charts and manifests, and an offline installer package.Read 4 Oct 2026 · docs.nvidia.com
Preview status
The repository describes Config Manager as in Developer Preview and not recommended for production use.Read 4 Oct 2026 · github.com
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.Read 4 Oct 2026 · docs.nvidia.com
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.Read 4 Oct 2026 · docs.nvidia.com
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.Read 4 Oct 2026 · github.com

Plans and prices

Apache 2.0 open-source license Free Developer Preview · not recommended for production use Read 4 Oct 2026 · github.com

Every NVIDIA Config Manager plan and price →

Strong points and limits

Strong points

  • Automates documented network configuration workflows
  • Includes zero-touch provisioning
  • Supports cloud-hosted and on-premises Kubernetes
  • Approval workflows and configuration audit trail

Limits

  • Developer Preview; not recommended for production use
  • Standard deployment requires Kubernetes, Helm, Python, and uv
  • Large production or validation profile specifies 96 vCPUs and 256 GB RAM

Who it suits

It is intended for network infrastructure administrators who deploy and maintain the platform, and operators who run workflows and manage network operations. It requires Kubernetes deployment and is marked as not recommended for production use.

Verdict

Config Manager brings network deployment and operational workflows together on Kubernetes, including offline deployment options. Its Developer Preview status and stated production warning are central limitations.

Where Specifiction places it

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