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NIM for LLMs Helm Chart Overview

Description:

NVIDIA NIM for LLMs Helm Chart simplifies NIM deployment on Kubernetes. It aims to support deployment with a variety of possible cluster, GPU and storage configurations.

The helm chart components are ready for commercial/non-commercial use.

License/Terms of Use:

GOVERNING TERMS: The NVIDIA NIM Helm Chart is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products.

You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.

Deployment Geography:

Global

Deployment Details:

Kubernetes Compatibility:

Versions Tested: 1.32.0
Recommended Minimum Version: 1.28.6

Get Help

Getting started with the NIM

Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM Helm Chart page for release documentation, deployment guides and more Deploying with Helm.

Enterprise Support

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

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It aims to support deployment with a variety of possible cluster, GPU and storage configurations.\n\nThe helm chart components are ready for commercial/non-commercial use.\n\n### License/Terms of Use:\n\n**GOVERNING TERMS:** The NVIDIA NIM Helm Chart is governed by the [NVIDIA Software License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/) and the [Product-Specific Terms for NVIDIA AI Products](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/).\n\nYou are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.\n\n## **Deployment Geography:**\n\nGlobal \n\n## Deployment Details:\n\n**Kubernetes Compatibility:**\n- Versions Tested: 1.32.0\n- Recommended Minimum Version: 1.28.6\n\n# Get Help\n\n## Getting started with the NIM\nDeploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the NIM Helm Chart page for release documentation, deployment guides and more [Deploying with Helm](https://docs.nvidia.com/nim/large-language-models/latest/deployment/kubernetes-deployment/helm-k8s.html).\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 for LLMs",["D",1787244568795],"publisher","NVIDIA","latestVersion","versions","collectionCounts","imageUrl","/api/image/nim/-/helm-charts/nim-llm","rawImageUrl","https://assets.ngc.nvidia.com/products/api-catalog/images/llama2-70b.jpg","canGuestDownload","latestVersionSizeInBytes",34416,"licenseTerms","isMultinodeEnabled","isMultiArchitecture","bias","explainability","privacy","safetyAndSecurity","featureLabels",[340,341],"displayLabels",[329,330],"policyLabels",[],"systemLabels",[],"products",[],"hasNimMetadata",{"_296":338,"_332":338,"_333":339,"_335":336},{"_296":331,"_332":331,"_333":334,"_335":336},"NSPECT-YEAK-9HHA","value","filter",{"_337":336,"_332":331},"category","label","field","NSPECT-65QE-LTCU",{"_337":336,"_332":338},{"_296":347,"_332":347,"_333":348,"_335":345},{"_296":342,"_332":343,"_333":344,"_335":345},"NVIDIA NIM","nimmcro_nvidia_nim",{"_337":346,"_332":343},"feature","nvidia_nim","NVIDIA AI Enterprise Supported",{"_337":336,"_332":347},{"_105":1326,"_107":1327},"ngcApps",[1279],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1260":1261,"_1262":1263,"_1264":1265,"_1266":1267,"_1268":360,"_137":231,"_1269":1270,"_1271":55,"_1272":84,"_1273":84,"_1274":1275,"_1276":84,"_1277":1278},"amplitude",{"_1257":1258,"_898":-7,"_1259":30},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyZW5hYmxlUHJvZHVjdEdyb3VwaW5nQnlTdWJzY3JpcHRpb24lMjIlM0FmYWxzZSUyQyUyMmNvbnRhaW5lclNjYW5uaW5nUmVkZXNpZ25NMiUyMiUzQWZhbHNlJTdE","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1251":1252,"_1253":1254,"_1255":1256},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1787622403895,"defaultSearchSuggestions",{"_1138":466,"_1139":1140,"_1141":1142,"_1143":1144},"announcements",[],"consentState",{"_423":1128,"_1129":84,"_1130":30,"_1131":30,"_1132":1133},"consentConfig",{"_405":406,"_407":408,"_409":410,"_411":412,"_413":414,"_415":416,"_417":418,"_419":420,"_421":422,"_423":424},"showContactAdmin",[],[],[398,399,400,401,402,403],{"_44":59,"_46":68,"_48":100,"_50":-5,"_52":-5,"_54":55},{"_44":59,"_46":67,"_48":100,"_50":-5,"_52":-5,"_54":55},{"_44":59,"_46":66,"_48":100,"_50":-5,"_52":-5,"_54":55},{"_44":59,"_46":60,"_48":100,"_50":-5,"_52":-5,"_54":55},{"_44":56,"_46":57,"_48":100,"_50":-5,"_52":-5,"_54":55},{"_44":45,"_46":47,"_48":49,"_50":51,"_52":404,"_54":55},4,"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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Under certain privacy laws, you have the right to direct us not to \"sell\" or \"share\" your personal information for targeted advertising. To opt-out of the \"sale\" and \"sharing\" of personal information through cookies, you must opt-out of optional cookies using the toggles below. To opt out of the \"sale\" and \"sharing\" of data collected by other means (e.g., online forms) you must also update your data sharing preferences through the NVIDIA Preference Center.

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This tracking cookie allows a website to link visitor behaviour to the recipient of an email marketing campaign, to measure campaign effectiveness.","investor.nvidia.com","This cookie is associated with Eventbrite and is used to deliver content tailored to the end user's interests and improve content creation. This cookie is also used for event-booking purposes.","_gat_gtag_UA_140825383_2","Google Analytics","_rdt_uuid","This cookie is set by Reddit and is used for tracking the views of embedded videos and performance of the advertisements.","catalog.ngc.nvidia.com","_uetsid","This cookie is used by Bing to determine what ads should be shown that may be relevant to the end user perusing the site. 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If you do not allow these cookies, then some or all of these services may not function properly.",[655,656,657,658,659,660,661,662,663,664,665,666,667,668,669,670,671,672,673,674,675,676,677,678,679],[626,627,628,629,630],{"_464":540,"_296":540,"_163":466,"_437":650},{"_464":514,"_296":514,"_163":466,"_437":645},{"_464":640,"_296":640,"_163":466,"_437":641},{"_464":635,"_296":635,"_163":466,"_437":636},{"_464":631,"_296":631,"_163":466,"_437":632},"nvidia.partners",[633],{"_76":634,"_471":631,"_472":30,"_163":508},"edge","app.hushly.com",[637],{"_76":638,"_471":635,"_472":30,"_163":639},"*CORS","This domain is associated with Hushly, a platform that provides lead conversion solutions for content marketing by using personalization and content engagement strategies.","github.com",[642],{"_76":643,"_471":640,"_472":30,"_163":644},"_octo","This domain is owned by Github. 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These cookies may store a unique ID so that our system will remember you when you return. 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