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Not sure how useful this would be.
It looks like kaniko has a dependency on ephmeral-storage GoogleContainerTools/kaniko#2219. I think on GKE clusters this maxes out at 10Gi on standard clusters and 1Gi on Autopilot clusters. This turns out to be too low for really big images like CUDA.
Now that we have code for building the context launching as a Job running kaniko in K8s should be relatively straightforward.
Possible advantages of using K8s
This PR has some YAML for launching kaniko on k8s
jlewi/notes#12
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