Collection of helper scripts for USD Search API deployment

A collection of helper scripts that simplify the process of setting up USD Search API on a kubernetes cluster.

Packages and Access

Install the NGC CLI tool. Please refer to this guide for more details.

Generate your NGC helm and container registry API Key. See onboarding guide here. This step could be skipped if the API Key was generated before.

Fetch the latest resource from the NGC registry by using the Download button in the top right corner of the page and selecting the preferred download method. Below you can find a sample command that uses NGC CLI for downloading:

ngc registry resource download-version \"nvidia/usdsearch/usdsearch_quick_setup:1.4.0\"\n

Quick Setup Helper Scripts

Important: A fully functional Kubernetes environment with GPU operator, CSI & CNI providers is required. While the helper scripts can attempt to create a DEMO environment, we cannot guarantee the results.

USD Search API installer for AWS S3 buckets

The aws_s3.sh helper script simplifies deployment of USD Search API, when installing it for processing an AWS S3 bucket. In order to get started - simply run the script as follows:

bash ./aws_s3.sh\n

and follow the instructions to provide all the required information.

USD Search API installer for Omniverse Nucleus servers

The nucleus.sh helper script simplifies deployment of USD Search API, when installing it for processing an Omniverse Nucleus server. In order to get started - simply run the script as follows:

bash ./nucleus.sh\n

and follow the instructions to provide all the required information.

FAQ

NVIDIA GPU operator failing due to version mismatch

In case NVIDIA drivers have already been installed on the host machine it could happen that the version of nvidia container runtime installed by microk8s does not match the driver version. This could result in GPU-operator pods not starting up properly.

To overcome this issue, make sure that NVIDIA Container toolkit is installed and then install NVIDIA GPU operator as follows:

sudo microk8s disable nvidia\nhelm repo add nvidia https://helm.ngc.nvidia.com/nvidia\nhelm repo update\nhelm install --wait --create-namespace -n gpu-operator gpu-operator nvidia/gpu-operator -f ./gpu-operator/microk8s-config.yaml  --version v23.9.2\n

Get Help

Enterprise Support

Get access to knowledge base articles and support cases or submit a ticket.

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Please refer to [this guide](https://docs.ngc.nvidia.com/cli/cmd.html) for more details.\n\nGenerate your NGC helm and container registry API Key. See onboarding guide [here](https://docs.nvidia.com/ai-enterprise/deployment/spark-rapids-accelerator/latest/appendix-ngc.html). This step could be skipped if the API Key was generated before.\n\nFetch the latest resource from the NGC registry by using the ``Download`` button in the top right corner of the page and selecting the preferred download method. Below you can find a sample command that uses NGC CLI for downloading:\n\n```bash\nngc registry resource download-version \"nvidia/usdsearch/usdsearch_quick_setup:1.4.0\"\n```\n\n## Quick Setup Helper Scripts\n**Important**: A fully functional Kubernetes environment with GPU operator, CSI & CNI providers is required. While the helper scripts can attempt to create a DEMO environment, we cannot guarantee the results.\n\n### USD Search API installer for AWS S3 buckets\n\nThe ``aws_s3.sh`` helper script simplifies deployment of USD Search API, when installing it for processing an AWS S3 bucket. In order to get started - simply run the script as follows:\n\n```bash\nbash ./aws_s3.sh\n```\n\nand follow the instructions to provide all the required information.\n\n### USD Search API installer for Omniverse Nucleus servers \n\nThe ``nucleus.sh`` helper script simplifies deployment of USD Search API, when installing it for processing an Omniverse Nucleus server. In order to get started - simply run the script as follows:\n\n```bash\nbash ./nucleus.sh\n```\n\nand follow the instructions to provide all the required information.\n\n## FAQ\n\n### NVIDIA GPU operator failing due to version mismatch\n\nIn case NVIDIA drivers have already been installed on the host machine it could happen that the version of nvidia container runtime installed by ``microk8s`` does not match the driver version. This could result in GPU-operator pods not starting up properly.\n\nTo overcome this issue, make sure that [NVIDIA Container toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) is installed and then install [NVIDIA GPU operator](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/getting-started.html#microk8s) as follows:\n\n```\nsudo microk8s disable nvidia\nhelm repo add nvidia https://helm.ngc.nvidia.com/nvidia\nhelm repo update\nhelm install --wait --create-namespace -n gpu-operator gpu-operator nvidia/gpu-operator -f ./gpu-operator/microk8s-config.yaml --version v23.9.2\n```\n\n## Get Help\n\nEnterprise Support\n\nGet access to knowledge base articles and support cases or [submit a ticket](https://www.nvidia.com/en-us/data-center/products/ai-enterprise-suite/support/).","USD Search API Quick setup",["D",1783450515111],"1.4.0","/api/image/nvidia/usdsearch/resources/usdsearch_quick_setup",79020,"bias","explainability","privacy","safetyAndSecurity",[259,260],[257],[],[],[255],{"_122":123,"_88":124,"_85":125,"_98":126,"_127":256},[129],{"_88":142,"_143":142,"_144":258,"_146":147},{"_148":147,"_143":142},{"_88":264,"_143":264,"_144":265,"_146":263},{"_88":261,"_143":261,"_144":262,"_146":263},"NVIDIA Omniverse Enterprise Supported",{"_148":147,"_143":261},"feature","NVIDIA AI Enterprise Supported",{"_148":147,"_143":264},{"_178":1381,"_180":1382},"ngcApps",[1334],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1315":1316,"_1317":1318,"_1319":1320,"_1321":1322,"_1323":277,"_210":303,"_1324":1325,"_1326":50,"_1327":221,"_1328":221,"_1329":1330,"_1331":221,"_1332":1333},"amplitude",{"_1312":1313,"_938":-7,"_1314":26},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1306":1307,"_1308":1309,"_1310":1311},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1791345658449,"1.22.0","defaultSearchSuggestions",{"_1208":384,"_1209":1210,"_1211":1212,"_1213":1214},"announcements",[],"consentState",{"_340":1198,"_1199":26,"_1200":26,"_1201":221,"_1202":1203},"consentConfig",{"_322":323,"_324":325,"_326":327,"_328":329,"_330":331,"_332":333,"_334":335,"_336":337,"_338":339,"_340":341},"showContactAdmin",[],[],[316,317,318,319,320,321],{"_39":54,"_41":64,"_43":60,"_45":-5,"_47":-5,"_49":50},{"_39":54,"_41":61,"_43":60,"_45":-5,"_47":-5,"_49":50},{"_39":54,"_41":59,"_43":60,"_45":-5,"_47":-5,"_49":50},{"_39":54,"_41":55,"_43":60,"_45":-5,"_47":-5,"_49":50},{"_39":51,"_41":52,"_43":44,"_45":46,"_47":53,"_49":50},{"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50},"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. 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