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I'm setting up a GCE instance for machine learning training. I first did this:

gcloud compute instances create my_instance --image=pytorch-latest-gpu-v20240128-ubuntu-2004 --image-project=deeplearning-platform-release --accelerator="type=nvidia-tesla-v100,count=1" --custom-extensions --custom-cpu 1 --custom-memory 20GB --boot-disk-size 50GB (some arguments intentionally omitted here)

This command gives a first warning:

WARNING: You have selected a disk size of under [200GB]. This may result in poor I/O performance. For more information, see: https://developers.google.com/compute/docs/disks#performance.

If I modify the above gcloud command to have --boot-disk-size 200GB, then I get a second warning:

The link in the first warning is not very helpful. Do I need to be concerned about poor I/O performance warning if I am doing just machine learning model training? I don't want to slow down the model training since the machines are expensive.

1 Answer 1

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You can ignore the second warning for Ubuntu (and Debian) because automatic resizing of the boot disk is built-in to the Google tools installed with Debian/Ubuntu operating systems.

I wrote an article that shows how the Google tools perform the resize.

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