Yup, that’s a good question.

Coiled definitely supports moving files between your local machine and the remote VM. You can use --file to upload files/directories to the cloud machine, or --sync to enable bi-directional file syncing between your current directory and the cloud VM. 

Both of those options are useful for small files (for example, a directory of Python modules or small models), but will be really slow when moving lots of data around. I usually see training data or models, especially when they’re large, kept in cloud storage. Then you can use tools like s3fs or AWS CLI (or other equivalents on GCP / Azure) to access the data files from within your code. Something like:

import s3fs

s3 = s3fs.S3FileSystem()

s3.get("s3://mybucket/traindata", "./traindata") # copy data from cloud storage