Description

Download pre-configured setup files to quick launch an NVIDIA TAO Jupyter Notebook on Azure Machine Learning with the appropriate resources (Compute Cluster and Environment) and fine-tune a TAO pretrained model, the set up is done using the 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 TAO SDK container and the additional resources required for this example, pre-installed for you.

The two ready-to-use files are:

\n
azure_config.json: Defines the most optimal Azure environment setup for this use-case. Simply insert your Azure credentials in the indicated fields and use right away.
\n
\n
ngc_config.json: Pre-installs the TAO SDK, and several TAO Notebooks that the user could run on AzureML to learn more about TAO. It includes the Object Detection using TAO DetectNet_v2 Notebook that produces a fine tuned model ready to be deployed as an AzureML Triton Inference Endpoint. No modifications are required; use this file as is.
\n

Usage Instructions

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\n\n\nazureml-ngc-tools --login azure_config.json --app ngc_config.json\n

Disclaimer

The ready-to-use config files, the NGC-AzureML Quick Launch Toolkit (azureml-ngc-tools) and example code was developed by NVIDIA.

License

The config files listed here when used with the NGC-AzureML Quick Launch CLI toolkit (azureml-ngc-tools) uses the TAO SDK 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 TAO SDK container and downloading models, you accept the terms and conditions of these licenses.

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pip install azureml-ngc-tools\n\n\nazureml-ngc-tools --login azure_config.json --app ngc_config.json\n

\n\n\n## Disclaimer\nThe ready-to-use config files, the NGC-AzureML Quick Launch Toolkit (azureml-ngc-tools) and example code was developed by NVIDIA.\n\n## License\nThe config files listed here when used with the NGC-AzureML Quick Launch CLI toolkit (azureml-ngc-tools) uses the TAO SDK 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 TAO SDK container and downloading models, you accept the terms and conditions of these licenses.","displayName","AzureML Quick Launch: TAO",["D",1680632296536],"publisher","NVIDIA","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/-/resources/azureml_quick_launch_tao","rawImageUrl","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[],"displayLabels",[269,270,271,272],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_239":288,"_274":289,"_276":290,"_278":88},{"_239":285,"_274":286,"_276":287,"_278":88},{"_239":281,"_274":282,"_276":283,"_278":88},{"_239":273,"_274":275,"_276":277,"_278":88},"Retail","value","indus_retail","filter",{"_279":280,"_274":275},"category","field","industry","ML","soln_ml",{"_279":284,"_274":282},"technology","DL","soln_dl",{"_279":284,"_274":286},"Computer Vision","soln_computer_vision",{"_279":284,"_274":289},{"_153":1267,"_155":1268},"ngcApps",[1220],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1201":1202,"_1203":1204,"_1205":1206,"_1207":1208,"_1209":302,"_110":328,"_1210":1211,"_1212":59,"_1213":91,"_1214":91,"_1215":1216,"_1217":91,"_1218":1219},"amplitude",{"_1198":1199,"_840":-7,"_1200":34},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1192":1193,"_1194":1195,"_1196":1197},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1787168666069,"1.12.0","defaultSearchSuggestions",{"_1080":129,"_1081":1082,"_1083":1084,"_1085":1086},"announcements",[],"consentState",{"_366":1070,"_1071":91,"_1072":34,"_1073":34,"_1074":1075},"consentConfig",{"_348":349,"_350":351,"_352":353,"_354":355,"_356":357,"_358":359,"_360":361,"_362":363,"_364":365,"_366":367},"showContactAdmin",1787168666070,[],[],[342,343,344,345,346],{"_48":63,"_50":74,"_52":148,"_54":-5,"_56":-5,"_58":59},{"_48":63,"_50":70,"_52":148,"_54":-5,"_56":-5,"_58":59},{"_48":63,"_50":64,"_52":148,"_54":-5,"_56":-5,"_58":59},{"_48":60,"_50":61,"_52":148,"_54":-5,"_56":-5,"_58":59},{"_48":49,"_50":51,"_52":53,"_54":55,"_56":347,"_58":59},3,"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. The information collected might relate to you, your preferences, or your device. We use that information to make the site work, analyze performance and traffic on our website, provide a more personalized web experience, and assist in our marketing efforts.

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