Download pre-configured setup files to quick launch a multi-node multi-GPU NVIDIA RAPIDS example using NGC-AzureML Quick Launch Toolkit. azureml-ngc-tools is a CLI toolkit that enables you to launch a fully setup Jupyter notebook environment on AzureML with a combination of NGC assets pre-installed. These ready-to-use config files work seamlessly with the NGC-AzureML Quick Launch CLI Toolkit (azureml-ngc-tools) to provide you direct access to a fully setup and optimally configured Azure Machine Learning environment with the RAPIDS container and the additional resources required for this example, pre-installed for you.
The two ready-to-use files are:
After inserting your Azure credentials in the azure_config.json file downloaded from here, quick launch a ready-to-use Jupyter notebook on AzureML with the following bash commands:
pip install azureml-ngc-tools azureml-ngc-tools --login azure_config.json --app ngc_config.json pip install azure-cli
The config files listed here when used with the NGC-AzureML Quick Launch CLI toolkit (azureml-ngc-tools) uses RAPIDS which is to be used in accordance with the End User License Agreement included with it. Licenses are also available along with the model application zip file. By pulling and using the RAPIDS container and downloading models, you accept the terms and conditions of these licenses.