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Easily Run GPU Operator in your dev environment with CNDI

Quickly deploy GPU Operator on your local machine.

or
cndi create -t gpu-operator 

Deploying GPU Operator on your local development environment offers a convenient and efficient way to experiment with this powerful and boundless in-memory data store.

microk8s

Deploying GPU Operator on your local development environment is easy with CNDI's intuitive workflow. CNDI leverages Multipass to provide a seamless experience similar to deploying in the cloud, right on your Mac, Linux, or Windows machine.

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Up and running in minutes

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Just like production

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Develop and debug with ease

What is gpu-operator

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.

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Who is it for?

If you're managing a Kubernetes cluster with GPU nodes on any of the major cloud providers, the GPU Operator can help you manage your GPU nodes more efficiently.

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