Question: How do we deploy on Kubernetes for a specific node

[AMIYAMAITY]

Hi,

Thank you for your hard work to build a GPU memory sharing package and to make it open for everyone.
I have tested locally with multiple processes with different kinds of scenarios. It's working fine as expected.
I went through the README file.

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The Device Plugin runs on every GPU-enabled node in your Kubernetes cluster (currently it will fail on non-GPU nodes but that is OK) and manages a single GPU on every node. It consumes a single nvidia.com/gpu device and advertizes it as multiple (by default 10) nvshare.com/gpu devices. This means that up to 10 containers can concurrently run on the same physical GPU.

So, If we deploy the deployment files it will deploy on every GPU-enabled node, but I want to deploy in a specific node only for now. I was thinking of changing the matchLabels under the selector section to nodeSelector but I see matchLabels' name is using other places as well.

Could you please help me out to deploy the node specifically?

[grgalex]

I'm glad you found this useful!

The label/nodeselector concept that K8s offers looks like a good starting point for what you want: https://kubernetes.io/docs/tasks/manage-daemon/pods-some-nodes/