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

# Use NVIDIA Endpoints

> Configure NemoClaw to use models hosted on NVIDIA Endpoints.

NVIDIA Endpoints routes NemoClaw to models hosted on [build.nvidia.com](https://build.nvidia.com) through an OpenAI-compatible API.
The sandbox keeps using `inference.local` while OpenShell forwards requests to the NVIDIA endpoint.

## Credential

Set `NVIDIA_INFERENCE_API_KEY` in the host shell before onboarding.
NemoClaw applies the `nvapi-` prefix check only to this credential and keeps the key on the host.

## Model Choices

The bundled fallback choices include these models.

* `nvidia/nemotron-3-ultra-550b-a55b`.
* `nvidia/nemotron-3-super-120b-a12b`.
* `minimaxai/minimax-m3`.

Interactive onboarding loads NVIDIA's public featured model catalog and can show additional live models.
You can also choose **Other** and enter a model ID from the catalog.

## Onboard

Run the onboarding wizard and select **NVIDIA Endpoints**.

```bash
nemoclaw onboard
```

The wizard validates a manual model entry against the catalog before it continues.
If the live catalog is unavailable or does not contain safe model IDs, the wizard warns you and uses the bundled fallback list.

## Validation

NemoClaw validates NVIDIA Endpoints through `/v1/chat/completions` only.
It skips `/v1/responses` because NVIDIA Build does not expose that route.
The wizard retries transient upstream failures before it reports a provider failure.

## Related Topics

* [Choose a Model](../learn-and-choose/choose-model) compares the curated models by task fit.
* [Understand Provider Validation](../validate-inference/understand-provider-validation) describes the onboarding checks across providers.