NVIDIA GPU Operator

The NVIDIA GPU Operator uses the operator framework within Kubernetes to automate the management of all NVIDIA software components needed to provision GPUs. These components include the NVIDIA drivers (to enable CUDA), Kubernetes device plugin for GPUs, the NVIDIA Container Toolkit, automatic node labeling using GFD, DCGM based monitoring and others.\nA Helm chart is provided for easily deploying the GPU operator in a cluster to provision the NVIDIA software on GPU-enabled nodes.

The NVIDIA GPU Operator has been validated to work with and without FIPS enabled Linux and K8s distributions. See the NVIDIA GPU Operator documentation for the list of validated Linux distributions and Kubernetes distributions. documentation.

Government Ready: STIG/FIPS Hardening

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

hardened
supports FIPS 140-2 / 3 validated crypto / uses libraries that support FIPS crypto

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

Security Vulnerabilities in Open Source Packages

Please review the Security Scanning tab to view the latest security scan results.\nFor certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.

Get Help

Enterprise Support\nGet access to knowledge base articles and support cases or submit a ticket.

NVIDIA AI Enterprise Documentation

Visit the NVIDIA AI Enterprise Documentation Hub for release documentation, deployment guides and more.

License

NVIDIA GPU Operator is licensed under the NVIDIA AI Product Agreement. By pulling and using this product, you accept the terms and conditions of this license.

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These components include the NVIDIA drivers (to enable CUDA), Kubernetes device plugin for GPUs, the NVIDIA Container Toolkit, automatic node labeling using GFD, DCGM based monitoring and others.\nA Helm chart is provided for easily deploying the GPU operator in a cluster to provision the NVIDIA software on GPU-enabled nodes.\n\nThe NVIDIA GPU Operator has been validated to work with and without FIPS enabled Linux and K8s distributions. See the NVIDIA GPU Operator documentation for the list of validated Linux distributions and Kubernetes distributions. [documentation](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/index.html). \n\n\n### Government Ready: STIG/FIPS Hardening\nThis ensures the highest level of security and compliance for regulated environments, the NVIDIA GPU Operator is:\n\n- hardened\n- supports FIPS 140-2 / 3 validated crypto / uses libraries that support FIPS crypto\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### Security Vulnerabilities in Open Source Packages\nPlease review the Security Scanning tab to view the latest security scan results.\nFor certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.\n\n### Get Help\nEnterprise 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/).\n\n### NVIDIA AI Enterprise Documentation\nVisit the [NVIDIA AI Enterprise Documentation Hub](https://docs.nvidia.com/ai-enterprise/) for release documentation, deployment guides and more.\n\n### License\nNVIDIA GPU Operator is licensed under the [NVIDIA AI Product Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/). 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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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