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NVIDIA Operator

Allows administrators of Kubernetes clusters to manage GPU nodes just like CPU nodes in the cluster.

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Why use NVIDIA Operator on Plural?

Plural helps you deploy and manage the lifecycle of open-source applications on Kubernetes. Our platform combines the scalability and observability benefits of managed SaaS with the data security, governance, and compliance benefits of self-hosting NVIDIA Operator.

If you need more than just NVIDIA Operator, look for other cloud-native and open-source tools in our marketplace of curated applications to leapfrog complex deployments and get started quickly.

NVIDIA Operator’s websiteGitHubLicenseInstalling NVIDIA Operator docs

Deploying NVIDIA Operator is a matter of executing these 3 commands:

plural bundle install nvidia-operator nvidia-operator-aws
plural build
plural deploy --commit "deploying nvidia-operator"
Read the install documentation

license pipeline status coverage report

NVIDIA GPU Operator

nvidia-gpu-operator

Kubernetes provides access to special hardware resources such as NVIDIA GPUs, NICs, Infiniband adapters and other devices through the device plugin framework. However, configuring and managing nodes with these hardware resources requires configuration of multiple software components such as drivers, container runtimes or other libraries which are difficult and prone to errors. The NVIDIA GPU Operator uses the operator framework within Kubernetes to automate the management of all NVIDIA software components needed to provision GPU. These components include the NVIDIA drivers (to enable CUDA), Kubernetes device plugin for GPUs, the NVIDIA Container Runtime, automatic node labelling, DCGM based monitoring and others.

Audience and Use-Cases

The GPU Operator allows administrators of Kubernetes clusters to manage GPU nodes just like CPU nodes in the cluster. Instead of provisioning a special OS image for GPU nodes, administrators can rely on a standard OS image for both CPU and GPU nodes and then rely on the GPU Operator to provision the required software components for GPUs.

Note that the GPU Operator is specifically useful for scenarios where the Kubernetes cluster needs to scale quickly - for example provisioning additional GPU nodes on the cloud or on-prem and managing the lifecycle of the underlying software components. Since the GPU Operator runs everything as containers including NVIDIA drivers, the administrators can easily swap various components - simply by starting or stopping containers.

Product Documentation

For information on platform support and getting started, visit the official documentation repository.

Webinar

How to easily use GPUs on Kubernetes

Contributions

Read the document on contributions. You can contribute by opening a pull request.

Support and Getting Help

Please open an issue on the GitHub project for any questions. Your feedback is appreciated.

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FAQ

Plural is open-source and self-hosted. You retain full control over your deployments in your cloud. We perform automated testing and upgrades and provide out-of-the-box Day 2 operational workflows. Monitor, manage, and scale your configuration with ease to meet changing demands of your business. Read more.

We support deploying on all major cloud providers, including AWS, Azure, and GCP. We also support all on-prem Kubernetes clusters, including OpenShift, Tanzu, Rancher, and others.

No, Plural does not have access to any cloud environments when deployed through the CLI. We generate deployment manifests in the Plural Git repository and then use your configured cloud provider's CLI on your behalf. We cannot perform anything outside of deploying and managing the manifests that are created in your Plural Git repository. However, Plural does have access to your cloud credentials when deployed through the Cloud Shell. Read more.