First of all thank you for this quite robust k8s config.
Feature Request
My Gentoo based workstation system has 2 gpu cards, 1 nvidia 1030 used for display and another nvidia Tesla (Architecture: Pascal
Variant: GP100-885-A1
Cuda cores: 2 x 3072). I would like to be able to bind this nvidia tesla to be available on the worker nodes, so I can deploy tensorflow models and use it on the cluster.
What should the feature do:
There are 2 projects which focus on gpu support in k8s nodes:
https://kubevirt.io/tag/passthrough
https://github.com/NVIDIA/kubevirt-gpu-device-plugin
I would like to use those for my aproach. Also note I use libvirt provider by default.
What would be solved through this feature:
GPU support on kube cluster.
Does this have an impact on existing features:
I don't think so, its an extending option to other features.
First of all thank you for this quite robust k8s config.
Feature Request
My Gentoo based workstation system has 2 gpu cards, 1 nvidia 1030 used for display and another nvidia Tesla (Architecture: Pascal
Variant: GP100-885-A1
Cuda cores: 2 x 3072). I would like to be able to bind this nvidia tesla to be available on the worker nodes, so I can deploy tensorflow models and use it on the cluster.
What should the feature do:
There are 2 projects which focus on gpu support in k8s nodes:
https://kubevirt.io/tag/passthrough
https://github.com/NVIDIA/kubevirt-gpu-device-plugin
I would like to use those for my aproach. Also note I use libvirt provider by default.
What would be solved through this feature:
GPU support on kube cluster.
Does this have an impact on existing features:
I don't think so, its an extending option to other features.