> 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/api/readme.md).

# NVIDIA Run:ai REST API Documentation

NVIDIA Run:ai is a platform for accelerating and managing AI workloads in shared computing environments. It enables teams to dynamically schedule, allocate, and monitor GPU resources across clusters.

The NVIDIA Run:ai control plane API provides programmatic access to these capabilities, allowing you to integrate workload submission, resource management, and administrative operations directly into your own applications, services, or automation pipelines.

<table data-view="cards"><thead><tr><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><h4><i class="fa-gear-code" style="color:$primary;">:gear-code:</i></h4><p><strong>About the REST API</strong><br>Overview of the NVIDIA Run:ai REST API, structure, and core concepts</p></td><td><a href="/spaces/b5QLzc5pV7wpXz3CDYyp/pages/EZaNFr48HZNZXGuxGMUO">/spaces/b5QLzc5pV7wpXz3CDYyp/pages/EZaNFr48HZNZXGuxGMUO</a></td></tr><tr><td><h4><i class="fa-code-pull-request" style="color:$primary;">:code-pull-request:</i></h4><p><strong>Authenticate to the API</strong><br>Create and use access tokens to authorize API requests</p></td><td><a href="/spaces/b5QLzc5pV7wpXz3CDYyp/pages/EwstU1pwPEAUOVPC90Vr">/spaces/b5QLzc5pV7wpXz3CDYyp/pages/EwstU1pwPEAUOVPC90Vr</a></td></tr><tr><td><h4><i class="fa-square-terminal" style="color:$primary;">:square-terminal:</i></h4><p><strong>Using the REST API</strong><br>Make your first requests and learn common request, response, and pagination patterns</p></td><td><a href="/spaces/b5QLzc5pV7wpXz3CDYyp/pages/6HhOw8vSWbSXG8ErtM71">/spaces/b5QLzc5pV7wpXz3CDYyp/pages/6HhOw8vSWbSXG8ErtM71</a></td></tr></tbody></table>

## Why Integrate with NVIDIA Run:ai APIs

Developers use the NVIDIA Run:ai APIs to:

* **Automate workload management** - Submit, suspend/resume, and monitor AI training and inference jobs programmatically.
* **Optimize resource utilization** - Dynamically allocate GPU and CPU resources based on workload demand.
* **Integrate with existing systems** - Connect NVIDIA Run:ai with CI/CD pipelines, data science platforms, or custom dashboards.
* **Manage multi-tenant environments** - Streamline access control, quotas, and user management across teams or projects.

By integrating with the API, you gain fine-grained control and scalability beyond the user interface, making it easier to embed NVIDIA Run:ai capabilities into your organization’s AI infrastructure.


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