Running Jupyter notebook on remote server with local files I would like to train my model faster and that's why would like to create a standalone remote machine with GPU support. The solution I am looking for is to have the data locally on my machine and to use the resources from the remote machine. Is this possible?
I am checking my project for example locally on my laptop. When I use some remote Jupiter notebook, then it needs the data also to be on the remote machine. But after the model is trained I would like to commit it in git from my local machine. How to make this?
What sort of virtual machine are you using?
If you are using Google colab for example you can connect it to your drive and add data from your drive.