> This page is for Self-Hosted, version v3.0 (default).
> For other versions, use one of these documentation indexes:
> - v3.0 (default): https://docs.nvidia.com/run-ai/self-hosted/v3.0/llms.txt
> - v2.26: https://docs.nvidia.com/run-ai/self-hosted/v2.26/llms.txt
> - v2.25: https://docs.nvidia.com/run-ai/self-hosted/v2.25/llms.txt
> - v2.24: https://docs.nvidia.com/run-ai/self-hosted/v2.24/llms.txt

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/run-ai/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/run-ai/_mcp/server.

# NVIDIA Run:ai Self-Hosted Product Documentation

NVIDIA Run:ai is an open-source AI workload and GPU orchestration platform for managing shared AI infrastructure on Kubernetes.

NVIDIA Run:ai provides a consistent way to run development, training, and inference workloads across Kubernetes environments, whether deployed on-premises, in the cloud, or across hybrid infrastructure. It combines GPU scheduling, resource management, workload orchestration, governance, and observability to help organizations share GPU resources efficiently across teams and clusters.

<Note>
**Support-Entitled Release**

NVIDIA Run:ai is available as open source. The NVIDIA Run:ai Support-Entitled Release is available for organizations that require [NVIDIA enterprise support and an SLA](/run-ai/self-hosted/documentation/getting-started/support-lifecycle-and-deprecation-policy).
</Note>

## Getting Started

<Cards>
  <Card
    title="Get started with NVIDIA Run:ai"
    icon="rocket"
    href="/run-ai/self-hosted/documentation/getting-started/quick-starts"
  >
    Follow the quick start guides to deploy infrastructure, configure the platform, and run your first workloads.
  </Card>

  <Card
    title="Install NVIDIA Run:ai"
    icon="gears"
    href="/run-ai/self-hosted/documentation/installation-and-configuration/overview"
  >
    Review system requirements and deploy NVIDIA Run:ai using the guided installer or Helm.
  </Card>

  <Card
    title="Local Development"
    icon="square-terminal"
    href="/run-ai/self-hosted/documentation/development/local-development"
  >
    Build NVIDIA Run:ai and run the full stack locally for development.
  </Card>
</Cards>

## Using NVIDIA Run:ai

<Cards>
  <Card
    title="Manage shared AI infrastructure"
    icon="sitemap"
    href="/run-ai/self-hosted/documentation/platform-management/manage-ai-initiatives/adapting-ai-initiatives-to-your-organization"
  >
    Organize GPU resources across departments and projects, allocate resources to teams, and control how shared capacity is used.
  </Card>

  <Card
    title="Optimize GPU resources"
    icon="calendar-circle-plus"
    href="/run-ai/self-hosted/documentation/platform-management/runai-scheduler/scheduling/concepts-and-principles"
  >
    Share GPU capacity across workloads and use scheduling, priorities, and resource allocation controls to improve utilization.
  </Card>

  <Card
    title="Run AI workloads"
    icon="laptop-code"
    href="/run-ai/self-hosted/documentation/workloads-in-nvidia-run-ai/introduction-to-workloads"
  >
    Run development, training, distributed training, and inference workloads on shared Kubernetes infrastructure.
  </Card>

  <Card
    title="Operate NVIDIA Run:ai at scale"
    icon="gears"
    href="/run-ai/self-hosted/documentation/installation-and-configuration/operate"
  >
    Manage multiple clusters, configure platform services, monitor system health and resource utilization, and maintain your NVIDIA Run:ai deployment.
  </Card>
</Cards>

## Resources

<Cards>
  <Card
    title="Videos"
    icon="video"
    href="/run-ai/self-hosted/documentation/resources/videos"
  >
    Watch NVIDIA Run:ai platform overviews, walkthroughs, and task-based demonstrations.
  </Card>

  <Card
    title="Blogs"
    icon="newspaper"
    href="/run-ai/self-hosted/documentation/resources/blogs"
  >
    Explore NVIDIA Run:ai articles and technical content.
  </Card>

  <Card
    title="NVIDIA On-Demand Sessions"
    icon="play"
    href="/run-ai/self-hosted/documentation/resources/nvidia-on-demand-sessions"
  >
    Watch NVIDIA Run:ai sessions, presentations, and technical talks.
  </Card>
</Cards>

## Quick Links

<Cards>
  <Card
    title="What's New"
    icon="sparkles"
    href="/run-ai/self-hosted/documentation/getting-started/whats-new/whats-new-3-0"
  >
    See the features and enhancements in the latest release.
  </Card>

  <Card
    title="Upgrade"
    icon="arrow-up"
    href="/run-ai/self-hosted/documentation/installation-and-configuration/upgrade/upgrade-nvidia-run-ai"
  >
    Upgrade an existing NVIDIA Run:ai deployment to a new version.
  </Card>

  <Card
    title="Product Version Life Cycle"
    icon="calendar"
    href="/run-ai/self-hosted/documentation/getting-started/support-lifecycle-and-deprecation-policy#supported-versions"
  >
    Plan upgrades based on support timelines.
  </Card>
</Cards>