> ## Documentation Index
> Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Nvidia

> Learn how to use Nvidia models in Agno.

NVIDIA offers a suite of high-performance language models optimized for advanced NLP tasks.
These models are part of the NeMo framework, which provides tools for training, fine-tuning
and deploying state-of-the-art models efficiently. NVIDIA’s language models are designed to
handle large-scale workloads with GPU acceleration for faster inference and training.
We recommend experimenting with NVIDIA’s models to find the best fit for your application.

Explore NVIDIA’s models [here](https://build.nvidia.com/models).

## Authentication

Set your `NVIDIA_API_KEY` environment variable. Get your key [from Nvidia here](https://build.nvidia.com/explore/discover).

<CodeGroup>
  ```bash Mac theme={null}
  export NVIDIA_API_KEY=***
  ```

  ```bash Windows theme={null}
  setx NVIDIA_API_KEY ***
  ```
</CodeGroup>

## Example

Use `Nvidia` with your `Agent`:

<CodeGroup>
  ```python agent.py theme={null}
  from agno.agent import Agent, RunResponse
  from agno.models.nvidia import Nvidia

  agent = Agent(model=Nvidia(), markdown=True)

  # Print the response in the terminal
  agent.print_response("Share a 2 sentence horror story")

  ```
</CodeGroup>

<Note> View more examples [here](../examples/models/nvidia). </Note>

## Params

<Snippet file="model-nvidia-params.mdx" />

`Nvidia` also supports the params of [OpenAI](/reference/models/openai).