nv-air-sdk 1.4.0

Python SDK for creating, running and managing simulations on NVIDIA Air

DSX Air SDK

This project provides a Python SDK for interacting with the NVIDIA DSX Air API.

Documentation

For the full SDK documentation, please refer to the API & SDK page on NVIDIA docs.

For tutorials and code examples, please refer to the examples README in the docs directory. There you will find Jupyter notebooks covering various SDK features such as ZTP scripts and simulation import/export.

Prerequisite

The SDK requires Python 3.10. There are a number of ways to achieve this such as poetry, uv or virtualenv. The following shows how to achieve this on a few popular OS's using virtualenv.

# Install Python 3.10
brew install python@3.10  # MacOS
apt-get install python3.10  # Ubuntu/Debian
sudo pacman -S python310  # Arch

# Install, create and activate a Python 3.10 virtual environment
python3.10 -m pip install virtualenv
python3.10 -m virtualenv venv
. venv/bin/activate

Installation

pip install nv-air-sdk

Authentication Options

1. NGC Device Login with AirApi.with_device_login(email=<YOUR_EMAIL>, org_num=<YOUR_NGC_ORG_NUMBER>)
2. NGC CLI Login with AirApi.with_ngc_config() (or just AirApi())
3. Explicitly specify an NGC API Key (also known as a Starfleet API Key, or "SAK") by instantiating AirApi.with_api_key(api_key=<YOUR_STARFLEET_API_KEY>)

And to use option 2 you will need to have the NGC CLI installed and to have configured it with ngc config set. This will create a file at ~/.ngc/config which contains your NGC credentials that will be auto-detected by the Air SDK.

License

MIT License - see LICENSE file for details

This project will download and install additional third-party open source software projects. Review the license terms of these open source projects before use.

Contributing

This project is currently not accepting contributions.