When I train my PyTorch Lightning model on two GPUs on jupyter lab with strategy="ddp_notebook", only two CPUs are used and their usages are 100%. How can I overcome this CPU bottleneck?

Edit: I tested with PyTorchProfiler and it was because of old ssds used on the server

The host is Archlinux with virt-manager. Desktop environments are Fedora spins. Virtual machines are given 5.7 GB. If you want any other test to be run let me know!