Overview

A Helm chart for deploying the NVIDIA Dynamo operator, with optional etcd, NATS, KAI Scheduler, Grove, and Snapshot subcharts. The operator is installed by default; the subcharts are opt-in. Custom Resource Definitions are embedded in the operator image and applied automatically. Do not install a separate dynamo-crds chart.

dynamo-platform-enterprise is part of the NVIDIA Dynamo Enterprise collection. It is published separately from the open-source release; the -enterprise suffix marks what NVIDIA supports commercially. At the same version, dynamo-platform-enterprise contains the same contents as dynamo-platform.

Access and Support

Access and use: Available without an NVIDIA AI Enterprise subscription and at no charge for access and use in development or production.
Commercial support: An active NVIDIA AI Enterprise subscription is required to open commercial support cases and receive NVIDIA Enterprise Support.
Scope: Only the exact -enterprise artifacts and versions listed in the Dynamo Enterprise collection are covered. An artifact being identical to a supported one does not put it in support scope. Recipes are not in scope.

See Dynamo Enterprise for scope, supported artifacts, and coverage terms.

Getting Started

# from https://docs.nvidia.com/dynamo/latest/reference/release-artifacts\nngc registry chart pull nvidia/ai-dynamo/dynamo-platform-enterprise:$RELEASE_VERSION\nhelm install dynamo-platform dynamo-platform-enterprise-$RELEASE_VERSION.tgz \\\n --namespace dynamo-system \\\n --create-namespace\n\">

export RELEASE_VERSION=<version>  # from https://docs.nvidia.com/dynamo/latest/reference/release-artifacts\nngc registry chart pull nvidia/ai-dynamo/dynamo-platform-enterprise:$RELEASE_VERSION\nhelm install dynamo-platform dynamo-platform-enterprise-$RELEASE_VERSION.tgz \\\n  --namespace dynamo-system \\\n  --create-namespace\n

For installation options including Grove, KAI Scheduler, and Prometheus, see Install the Dynamo Platform.

License

NVIDIA Dynamo is released under the Apache-2.0 open-source license, making it freely available for development, research, and deployment.

Disclaimer: Installing this helm chart might result in pulling and running docker images that contain software licensed under GPL-2.0, GPL-3.0+, and LGPL-2.1+. Please make sure to comply with the software license requirements.

Enterprise Support

An active NVIDIA AI Enterprise subscription adds the support channel. Security patches ship in the releases themselves, in the same artifacts for all users.

Security Patching: NVIDIA prioritizes patching vulnerabilities categorized as Critical and High severity, based on CVSS and NVIDIA's scanning logic, and ships fixes roll-forward in subsequent Dynamo releases. Medium and Low severity findings are addressed best-effort.
Bug Intake: Subscribers file issues through NVIDIA Enterprise Support. Fixes land on main and ship roll-forward in the next Dynamo release; there is no on-demand or backport release for bugs.
Release Coverage: Support covers Dynamo major and minor releases, and the patch releases (1.X.1) that ship security fixes between them.
Hardware Scope: Support covers the hardware, operating systems, and architectures listed in the published Compatibility matrix and is not scoped to individual models.

Get Help

NVIDIA AI Enterprise customers: File a support case through NVIDIA Enterprise Support.
Community and out-of-scope questions: Refer to the Dynamo Documentation or file on Dynamo GitHub Issues.
Release Notes: GitHub Releases

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Eligible for NVIDIA Enterprise Support. No functional or binary differences from its corresponding OSS artifact.","# Overview\nA Helm chart for deploying the [NVIDIA Dynamo operator](https://catalog.ngc.nvidia.com/orgs/nvidia/ai-dynamo/containers/kubernetes-operator-enterprise), with optional etcd, NATS, KAI Scheduler, Grove, and Snapshot subcharts. The operator is installed by default; the subcharts are opt-in. Custom Resource Definitions are embedded in the operator image and applied automatically. Do not install a separate `dynamo-crds` chart.\n\n`dynamo-platform-enterprise` is part of the [NVIDIA Dynamo Enterprise](https://catalog.ngc.nvidia.com/orgs/nvidia/ai-dynamo/collections/dynamo-enterprise) collection. It is published separately from the open-source release; the `-enterprise` suffix marks what NVIDIA supports commercially. At the same version, `dynamo-platform-enterprise` contains the same contents as [`dynamo-platform`](https://catalog.ngc.nvidia.com/orgs/nvidia/ai-dynamo/helm-charts/dynamo-platform).\n\n## Access and Support\n- **Access and use**: Available without an NVIDIA AI Enterprise subscription and at no charge for access and use in development or production.\n- **Commercial support**: An active [NVIDIA AI Enterprise](https://docs.nvidia.com/ai-enterprise/) subscription is required to open commercial support cases and receive NVIDIA Enterprise Support.\n- **Scope**: Only the exact `-enterprise` artifacts and versions listed in the [Dynamo Enterprise collection](https://catalog.ngc.nvidia.com/orgs/nvidia/ai-dynamo/collections/dynamo-enterprise) are covered. An artifact being identical to a supported one does not put it in support scope. Recipes are not in scope.\n\nSee [Dynamo Enterprise](https://docs.nvidia.com/dynamo/dev/reference/enterprise/overview) for scope, supported artifacts, and coverage terms.\n\n## Getting Started\n\n```bash\nexport RELEASE_VERSION= # from https://docs.nvidia.com/dynamo/latest/reference/release-artifacts\nngc registry chart pull nvidia/ai-dynamo/dynamo-platform-enterprise:$RELEASE_VERSION\nhelm install dynamo-platform dynamo-platform-enterprise-$RELEASE_VERSION.tgz \\\n --namespace dynamo-system \\\n --create-namespace\n```\n\nFor installation options including Grove, KAI Scheduler, and Prometheus, see [Install the Dynamo Platform](https://docs.nvidia.com/dynamo/latest/kubernetes/installation/install-dynamo).\n\n## License\nNVIDIA Dynamo is released under the Apache-2.0 open-source license, making it freely available for development, research, and deployment.\n\n**Disclaimer**: Installing this helm chart might result in pulling and running docker images that contain software licensed under GPL-2.0, GPL-3.0+, and LGPL-2.1+. Please make sure to comply with the software license requirements.\n\n## Enterprise Support\nAn active [NVIDIA AI Enterprise](https://docs.nvidia.com/ai-enterprise/) subscription adds the support channel. Security patches ship in the releases themselves, in the same artifacts for all users.\n\n- **Security Patching**: NVIDIA prioritizes patching vulnerabilities categorized as Critical and High severity, based on CVSS and NVIDIA's scanning logic, and ships fixes roll-forward in subsequent Dynamo releases. Medium and Low severity findings are addressed best-effort.\n- **Bug Intake**: Subscribers file issues through NVIDIA Enterprise Support. Fixes land on `main` and ship roll-forward in the next Dynamo release; there is no on-demand or backport release for bugs.\n- **Release Coverage**: Support covers Dynamo major and minor releases, and the patch releases (1.X.1) that ship security fixes between them.\n- **Hardware Scope**: Support covers the hardware, operating systems, and architectures listed in the published [Compatibility](https://docs.nvidia.com/dynamo/latest/reference/compatibility) matrix and is not scoped to individual models.\n\n\n## Get Help\n- **NVIDIA AI Enterprise customers**: File a support case through [NVIDIA Enterprise Support](https://www.nvidia.com/en-us/data-center/products/ai-enterprise-suite/support/).\n- **Community and out-of-scope questions**: Refer to the [Dynamo Documentation](https://docs.nvidia.com/dynamo/latest/) or file on [Dynamo GitHub Issues](https://github.com/ai-dynamo/dynamo/issues).\n- **Release Notes**: [GitHub Releases](https://github.com/ai-dynamo/dynamo/releases)","displayName","Dynamo Platform (Enterprise)",["D",1787967053079],"publisher","NVIDIA","latestVersion","collectionCounts","imageUrl","/api/image/nvidia/ai-dynamo/helm-charts/dynamo-platform-enterprise","rawImageUrl","https://s3.amazonaws.com/cms.ipressroom.com/219/files/20237/64e3dc1a3d6332319b2dfd35_NVIDIA-logo-white-16x9/NVIDIA-logo-white-16x9_927581a6-fc31-4fa5-85c6-379680c6aa6c-prv.png","canGuestDownload","latestVersionSizeInBytes","licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[268],"displayLabels",[235,236,237,238,239,240,241],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_204":265,"_243":266,"_245":267,"_247":248},{"_204":262,"_243":263,"_245":264,"_247":248},{"_204":259,"_243":260,"_245":261,"_247":248},{"_204":256,"_243":257,"_245":258,"_247":248},{"_204":253,"_243":254,"_245":255,"_247":248},{"_204":251,"_243":251,"_245":252,"_247":248},{"_204":242,"_243":244,"_245":246,"_247":248},"NVIDIA AI","value","soln_nvidia_ai","filter",{"_249":250,"_243":244},"category","label","field","technology","NSPECT-9EST-K1WZ",{"_249":248,"_243":251},"ML","soln_ml",{"_249":250,"_243":254},"Kubernetes Infrastructure","soln_kubernetes_infrastructure",{"_249":250,"_243":257},"Inference","soln_inference",{"_249":250,"_243":260},"DL","soln_dl",{"_249":250,"_243":263},"AI","soln_ai",{"_249":250,"_243":266},{"_204":269,"_243":269,"_245":270,"_247":271},"NVIDIA AI Enterprise Supported",{"_249":248,"_243":269},"feature",{"_114":1249,"_116":1250},"ngcApps",[1202],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1183":1184,"_1185":1186,"_1187":1188,"_1189":1190,"_1191":283,"_145":309,"_1192":1193,"_1194":59,"_1195":87,"_1196":87,"_1197":1198,"_1199":87,"_1200":1201},"amplitude",{"_1180":1181,"_822":-7,"_1182":34},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1174":1175,"_1176":1177,"_1178":1179},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1788014833200,"1.12.0","defaultSearchSuggestions",{"_1062":390,"_1063":1064,"_1065":1066,"_1067":1068},"announcements",[],"consentState",{"_347":1052,"_1053":87,"_1054":34,"_1055":34,"_1056":1057},"consentConfig",{"_329":330,"_331":332,"_333":334,"_335":336,"_337":338,"_339":340,"_341":342,"_343":344,"_345":346,"_347":348},"showContactAdmin",1788014833201,[],[],[323,324,325,326,327,328],{"_48":63,"_50":73,"_52":109,"_54":-5,"_56":-5,"_58":59},{"_48":63,"_50":70,"_52":109,"_54":-5,"_56":-5,"_58":59},{"_48":63,"_50":68,"_52":109,"_54":-5,"_56":-5,"_58":59},{"_48":63,"_50":64,"_52":109,"_54":-5,"_56":-5,"_58":59},{"_48":60,"_50":61,"_52":109,"_54":-5,"_56":-5,"_58":59},{"_48":49,"_50":51,"_52":109,"_54":-5,"_56":-5,"_58":59},"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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