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Note that this also deletes all data your container might have written to its filesystem layer. If you want to save your trained models, you have to mount persistent volumes from the Kubernetes cluster into the container. This is covered in the [[Tutorials:Persistent volumeson the Kubernetes cluster|persistent volume tutorial]].