I guess it could based on the description:

You will first need to figure out the maximum batch size your setup can support. The pre-trained models provided here were trained on 8xV100 (16GB VRAM each) which can support slightly more than the BS256 used by default. Once you’ve determined this, you should modify the script so that the batch size times the number of gradient accumulations is equal to your desired total batch size (BigGAN defaults to 2048).
Note also that this script uses the --load_in_mem arg, which loads the entire (~64GB) I128.hdf5 file into RAM for faster data loading. If you don’t have enough RAM to support this (probably 96GB+), remove this argument.

so you should try to run it and see if you are seeing any unexpected issues.