--- summary: "Use NVIDIA's OpenAI-compatible API in OpenClaw" read_when: - You want to use NVIDIA models in OpenClaw - You need NVIDIA_API_KEY setup title: "NVIDIA" --- # NVIDIA NVIDIA provides an OpenAI-compatible API at `https://integrate.api.nvidia.com/v1` for Nemotron and NeMo models. Authenticate with an API key from [NVIDIA NGC](https://catalog.ngc.nvidia.com/). ## CLI setup Export the key once, then run onboarding and set an NVIDIA model: ```bash export NVIDIA_API_KEY="nvapi-..." openclaw onboard --auth-choice skip openclaw models set nvidia/nvidia/llama-3.1-nemotron-70b-instruct ``` If you still pass `--token`, remember it lands in shell history and `ps` output; prefer the env var when possible. ## Config snippet ```json5 { env: { NVIDIA_API_KEY: "nvapi-..." }, models: { providers: { nvidia: { baseUrl: "https://integrate.api.nvidia.com/v1", api: "openai-completions", }, }, }, agents: { defaults: { model: { primary: "nvidia/nvidia/llama-3.1-nemotron-70b-instruct" }, }, }, } ``` ## Model IDs | Model ref | Name | Context | Max output | | ---------------------------------------------------- | ---------------------------------------- | ------- | ---------- | | `nvidia/nvidia/llama-3.1-nemotron-70b-instruct` | NVIDIA Llama 3.1 Nemotron 70B Instruct | 131,072 | 4,096 | | `nvidia/meta/llama-3.3-70b-instruct` | Meta Llama 3.3 70B Instruct | 131,072 | 4,096 | | `nvidia/nvidia/mistral-nemo-minitron-8b-8k-instruct` | NVIDIA Mistral NeMo Minitron 8B Instruct | 8,192 | 2,048 | ## Notes - OpenAI-compatible `/v1` endpoint; use an API key from NVIDIA NGC. - Provider auto-enables when `NVIDIA_API_KEY` is set. - The bundled catalog is static; costs default to `0` in source.