NVIDIA Network Operator Helm Chart

NVIDIA Network Operator Helm Chart provides an easy way to install, configure and manage the lifecycle of NVIDIA Mellanox network operator.

NVIDIA Network Operator

NVIDIA Network Operator manages Networking related components in order to enable Fast networking, RDMA and GPUDirect for workloads in a Kubernetes cluster. Network Operator works in conjunction with GPU Operator to enable GPU-Direct RDMA on compatible systems.

Documentation

For more information please visit the official documentation.

Get Help

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

Quick start

Fetch the helm chart using the following commands:

# Add NVIDIA Helm repository\n$ helm repo add nvidia https://helm.ngc.nvidia.com/nvidia \\\n   && helm repo update  # Install Operator\n\n# Install NVIDIA Network Operato Helm chart\n$ helm install --wait --generate-name \\\n     -n nvidia-network-operator --create-namespace \\\n     nvidia/network-operator\n\n# View deployed resources\n$ kubectl -n nvidia-network-operator get pods\n

Before installing, update the values.yaml file with your preferred configuration. For information on available customizations please read the official documentation.

License Agreement

The product 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.

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Network Operator works in conjunction with [GPU Operator](https://catalog.ngc.nvidia.com/orgs/nvidia/helm-charts/gpu-operator) to enable GPU-Direct RDMA on compatible systems.\n\n### Documentation\nFor more information please visit the official [documentation](https://docs.nvidia.com/networking/software/cloud-orchestration/index.html).\n\n## Get Help\nEnterprise Support Get 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/)\n\n### Quick start\nFetch the helm chart using the following commands:\n\n```\n# Add NVIDIA Helm repository\n$ helm repo add nvidia https://helm.ngc.nvidia.com/nvidia \\\n && helm repo update # Install Operator\n\n# Install NVIDIA Network Operato Helm chart\n$ helm install --wait --generate-name \\\n -n nvidia-network-operator --create-namespace \\\n nvidia/network-operator\n\n# View deployed resources\n$ kubectl -n nvidia-network-operator get pods\n```\n\nBefore installing, update the values.yaml file with your preferred configuration. 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If you do not allow these cookies, then some or all of these services may not function properly.",[952,953,954,955,956,957,958,959,960,961,962,963,964,965,966,967,968,969,970,971,972,973,974,975,976],[923,924,925,926,927],{"_761":837,"_591":837,"_478":763,"_734":947},{"_761":811,"_591":811,"_478":763,"_734":942},{"_761":937,"_591":937,"_478":763,"_734":938},{"_761":932,"_591":932,"_478":763,"_734":933},{"_761":928,"_591":928,"_478":763,"_734":929},"nvidia.partners",[930],{"_75":931,"_768":928,"_769":31,"_478":805},"edge","app.hushly.com",[934],{"_75":935,"_768":932,"_769":31,"_478":936},"*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",[939],{"_75":940,"_768":937,"_769":31,"_478":941},"_octo","This domain is owned by Github. 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We have categorized it under Functionality because it is necessary for the operation of our affiliate program.","nv_country_code","developer.nvidia.com","This cookie is likely used to store the country code of the visitor to provide localized content and possibly for legal compliance with regional data privacy laws.","_gdxxxxxxxxxxxxx","nvidianews.nvidia.com","docs.api.nvidia.com","research.nvidia.com","readme_library","wcmmode","ai-podcast.nvidia.com","resources.nvidia.com","geo_locator","openedx-language-preference","learn.nvidia.com","doxygen_width","raytracing-docs.nvidia.com","This cookie is likely used to remember the width preferences of a sidebar or interface element within a documentation platform like Doxygen.","_sfid_eb78","This cookie is categorized as Functionality Cookie.","crowdsource.nvidia.com","mbox","Cookie set by Adobe SiteCatalyst analytics software - used for measuring the performance of page content using A/B split testing","readme_language","vid","This cookie name 'vid' is used for tracking the search request made by the user on the 'Find a practitioner' page.","at_check","Used by Adobe Target to check if cookies are enabled/supported on the browser","blogs.nvidia.com","nvHeadless","This cookie is likely used to track if a user is using the site in a 'headless' non-GUI mode, which could be for accessibility reasons or for automated processes.","C0002","Performance Cookies","These cookies are used to provide quantitative measures of our website visitors, such as the number of times you visit, time on page, your mouse movements, scrolling, clicks and keystroke activity on the websites; other browsing, search, or product research behavior; and what brought you to our site. These cookies may store a unique ID so that our system will remember you when you return. 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