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System Info:
Machine ID: 8840fa09cb0c8bf2bb021033c01b5a14
System UUID: 8840fa09-cb0c-8bf2-bb02-1033c01b5a14
Boot ID: 44a9e2ab-6039-4ceb-a6f6-a1372fac0fe5
Kernel Version: 5.3.0-1029-gcp
OS Image: Ubuntu 18.04.4 LTS
Operating System: linux
Architecture: amd64
Container Runtime Version: docker://19.3.11
Kubelet Version: v1.18.3
Kube-Proxy Version: v1.18.3
When I check on the VM itself it the package is there, it seems to be that way:
svendegroote@worker-gpu-0:~$ apt search linux-headers | grep installed
WARNING: apt does not have a stable CLI interface. Use with caution in scripts.
linux-headers-5.3.0-1029-gcp/bionic-updates,bionic-security,now 5.3.0-1029.31~18.04.1 amd64 [installed]
linux-headers-gcp/bionic-updates,bionic-security,now 5.3.0.1029.23 amd64 [installed]
Information on the image from google cloud console:
Any idea why the script does not seem to find the installed linux headers?
I deployed Kubernetes with Kubespray on a set of Ubuntu VMs on Google Cloud.
One of the worker has a GPU (tesla K80).
When running the daemonset to install the Nvidia driver, I get the following error message:
The GPU-worker node has the following specs:
When I check on the VM itself it the package is there, it seems to be that way:
Information on the image from google cloud console:
Any idea why the script does not seem to find the installed linux headers?
(I also logged this issue on the Kubespray repo: kubernetes-sigs/kubespray#6340)
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