PlanX ML

A Pytorch project on Python 3.12, setup with uv, to be run on an AWS EC2 instance with GPU.

Working on the remote

1. Update your ~/.ssh/config file with the ip/port of the new server. It should look something like this:

Host g6
	HostName 80.15.7.37
	User ubuntu
	IdentityFile ~/.ssh/id_ed25519_osl_devops

Note that you may have named the private key file differently, and that you need to replace HostName with the current public IPv4 address of the g6 instance. See planx-new/infrastructure/ml/README.md for more on that.

2. Go to the Remote Explorer tab in vscode and connect to g6.

3. Once conncted, make sure the Jupyter extension is installed in the vscode server on the remote, so that you can work with the notebooks.

4. If you're not already authenticated with git, run git auth login and provide the token.

5. From either the terminal inside vscode, or your own separate ssh session, navigate to the planx-ml repo, ensure you have the latest version of main, and run uv sync.

6. You are go! 🔥