Kernel version discrepancy between Pods.
I have rented several GPU pods with 4090's and I sometimes get warnings about the kernel version being too low. So the host system is not running the same Linux kernel version. How can this be fixed?
I am using this base docker and it works 90% of the time, but when I get the error I can start a new Pod and not get the error.
The warning is stating that kernel version is 5.4 but needs to be 5.5+
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Also, do I get charged for the first hour when I launch an instance and have to re-create because the host kernel is borked?
Also having issue with outdated kernel. My process is hanging
accelerator = Accelerator() Detected kernel version 5.4.0, which is below the recommended minimum of 5.5.0; this can cause the process to hang. It is recommended to upgrade the kernel to the minimum version or higher.
yeah everytime you run a pod will be..
Hi i think outdated kernel is from that image
docker container wont use the host's os kernel since its all virtuallized
so try changing images i guess or update them 🙂
Dockers used host kernel 🙂
What really
So it's a host problem?
ohh ya