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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The information collected might relate to you, your preferences, or your device. We use that information to make the site work, analyze performance and traffic on our website, provide a more personalized web experience, and assist in our marketing efforts.

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These cookies enable us to provide enhanced website functionality and personalization as well as make the marketing messages we send to you more relevant to your interests. If you do not allow these cookies, then some or all of these services may not function properly.",4,[722,723,724,725,726,727,728,729,730,731,732,733,734,735,736,737,738,739,740,741,742],[687,688,689,690,691],{"_488":581,"_92":581,"_91":490,"_461":713},{"_488":547,"_92":547,"_91":490,"_461":708},{"_488":701,"_92":701,"_91":490,"_461":702},{"_488":697,"_92":697,"_91":490,"_461":698},{"_488":692,"_92":692,"_91":490,"_461":693},"nvcrm.my.site.com",[694],{"_123":695,"_495":692,"_496":26,"_91":696},"BrowserId","If you know anything about this cookie and its uses that are not specific to a particular site please add your contributions.","nvidia.partners",[699],{"_123":700,"_495":697,"_496":26,"_91":530},"edge","github.com",[703,704],{"_123":707,"_495":701,"_496":26,"_91":706},{"_123":705,"_495":701,"_496":26,"_91":706},"logged_in","This domain is owned by Github. 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This cookie is used to distinguish unique users by assigning a randomly generated number as a client identifier. It is included in each page request in a site and used to calculate visitor, session and campaign data for the sites analytics reports. By default it is set to expire after 2 years, although this is customisable by website owners.","research.nvidia.com","_uetvid","This is a cookie utilised by Microsoft Bing Ads and is a tracking cookie. It allows us to engage with a user that has previously visited our website.","s_pltp","This cookie is typically associated with Adobe Analytics (formerly SiteCatalyst). It is used to identify the previous link clicked within the site, which helps in analyzing site usage patterns.","s_ecid","Adobe Analytics cookie containing the the Adobe Experience Cloud 1st party visitor id if the Analytics AMCV visitor id is not found.","This cookie name is used as a long-lived unique identifier of the visitor on the website. 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