NVIDIA NIM Operator

The NVIDIA NIM Operator enables Kubernetes cluster administrators to operate the software components and services necessary to run NVIDIA NIMs in various domains such as reasoning, retrieval, speech, and biology. Additionally, it allows the use of NeMo Microservices to fine-tune, evaluate, or apply guardrails to your models.

The Operator manages the life cycle of the following microservices and the models they use:

NVIDIA NIM models, such as:

Reasoning LLMs
Retrieval - Embedding, Reranking, etc.
Speech
Biology

NeMo core microservices:

NeMo Customizer
NeMo Evaluator
NeMo Guardrails

NeMo platform component microservices:

NeMo Data Store
NeMo Entity Store

A Helm chart is provided for easily deploying the NIM operator in a cluster to provision the NVIDIA NIMs on GPU-enabled nodes.

Government Ready: STIG/FIPS Hardening

This ensures the highest level of security and compliance for regulated environments, the NVIDIA NIM Operator is:

hardened

Learn more about NVIDIA's hardened image in the AI Software for Regulated Environments White Paper.

Usage

For information on platform support and getting started, visit the official documentation repository

License Agreements

The NVIDIA NIM Operator source code is licensed under Apache 2.0 and contributions are accepted with a DCO. See the contributing document for more information on how to contribute and the release artifacts.

An End User License Agreement is included with this product. By pulling and using the containers from NGC, you accept the terms and conditions of this license.

Get Help

Enterprise Support

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

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Additionally, it allows the use of NeMo Microservices to fine-tune, evaluate, or apply guardrails to your models.\n\nThe Operator manages the life cycle of the following microservices and the models they use:\n\nNVIDIA NIM models, such as:\n* Reasoning LLMs\n* Retrieval - Embedding, Reranking, etc.\n* Speech\n* Biology\n\nNeMo core microservices:\n* NeMo Customizer\n* NeMo Evaluator\n* NeMo Guardrails\n\nNeMo platform component microservices:\n* NeMo Data Store\n* NeMo Entity Store\n\nA Helm chart is provided for easily deploying the NIM operator in a cluster to provision the NVIDIA NIMs on GPU-enabled nodes.\n\n### Government Ready: STIG/FIPS Hardening\nThis ensures the highest level of security and compliance for regulated environments, the NVIDIA NIM Operator is:\n\n- hardened\n\nLearn more about NVIDIA's hardened image in the AI Software for [Regulated Environments White Paper](https://docs.nvidia.com/ai-enterprise/planning-resource/ai-software-regulated-environments-white-paper/latest/index.html).\n\n## Usage\n\nFor information on platform support and getting started, visit the official documentation [repository](https://docs.nvidia.com/nim-operator/latest/)\n\n## License Agreements\n\nThe NVIDIA NIM Operator source code is licensed under [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) and contributions are accepted with a DCO. See the contributing [document](https://github.com/NVIDIA/k8s-nim-operator/blob/main/CONTRIBUTING.md) for more information on how to contribute and the release artifacts.\n\nAn [End User License Agreement](https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/) is included with this product. By pulling and using the containers from NGC, you accept the terms and conditions of this license.\n\n## Suggested Reading\n\nThe NIM Operator is open-source. For more information on contributions and release artifacts, see the GitHub [repo](https://github.com/NVIDIA/k8s-nim-operator)\n\n## Get Help\n\n### Enterprise Support\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/).","displayName","NVIDIA NIM Operator",["D",1786390775361],"publisher","NVIDIA","latestVersion","versions","collectionCounts","imageUrl","/api/image/nvidia/-/helm-charts/k8s-nim-operator","rawImageUrl","https://assets.ngc.nvidia.com/products/catalog/logos/NIMOperator.png","canGuestDownload","latestVersionSizeInBytes",674365,"licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[449],"displayLabels",[418,419,420,421,422,423,424,425],"policyLabels",[411],"systemLabels",[],"products",[],"hasNimMetadata",{"_378":333,"_412":333,"_413":414,"_415":416},"value","filter",{"_417":416,"_412":333},"category","policy","field",{"_378":446,"_412":447,"_413":448,"_415":429},{"_378":444,"_412":444,"_413":445,"_415":429},{"_378":441,"_412":442,"_413":443,"_415":429},{"_378":438,"_412":439,"_413":440,"_415":429},{"_378":435,"_412":435,"_413":436,"_415":429},{"_378":433,"_412":433,"_413":434,"_415":429},{"_378":431,"_412":431,"_413":432,"_415":429},{"_378":426,"_412":427,"_413":428,"_415":429},"NVIDIA AI","soln_nvidia_ai",{"_417":430,"_412":427},"label","technology","NSPECT-U4XT-R3UP",{"_417":429,"_412":431},"NIM",{"_417":429,"_412":433},"NeMo",{"_417":437,"_412":435},"framework","Kubernetes Infrastructure","soln_kubernetes_infrastructure",{"_417":430,"_412":439},"Inference","soln_inference",{"_417":430,"_412":442},"Government ready",{"_417":429,"_412":444},"AI","soln_ai",{"_417":430,"_412":447},{"_378":450,"_412":450,"_413":451,"_415":452},"NVIDIA AI Enterprise Supported",{"_417":429,"_412":450},"feature",{"_248":1427,"_250":1428},"ngcApps",[1380],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1361":1362,"_1363":1364,"_1365":1366,"_1367":1368,"_1369":464,"_280":490,"_1370":1371,"_1372":56,"_1373":227,"_1374":227,"_1375":1376,"_1377":227,"_1378":1379},"amplitude",{"_1358":1359,"_1002":-7,"_1360":31},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1352":1353,"_1354":1355,"_1356":1357},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1787436678734,"1.12.0","defaultSearchSuggestions",{"_1242":570,"_1243":1244,"_1245":1246,"_1247":1248},"announcements",[],"consentState",{"_528":1232,"_1233":227,"_1234":31,"_1235":31,"_1236":1237},"consentConfig",{"_510":511,"_512":513,"_514":515,"_516":517,"_518":519,"_520":521,"_522":523,"_524":525,"_526":527,"_528":529},"showContactAdmin",1787436678735,[],[],[504,505,506,507,508,509],{"_45":60,"_47":71,"_49":243,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":69,"_49":243,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":67,"_49":243,"_51":-5,"_53":-5,"_55":56},{"_45":60,"_47":61,"_49":243,"_51":-5,"_53":-5,"_55":56},{"_45":57,"_47":58,"_49":243,"_51":-5,"_53":-5,"_55":56},{"_45":46,"_47":48,"_49":243,"_51":-5,"_53":-5,"_55":56},"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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