> For the complete documentation index, see [llms.txt](https://aalborg-university.gitbook.io/machine-learning-workstation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aalborg-university.gitbook.io/machine-learning-workstation/readme.md).

# Main page

This space contains guides and other resources related to the ML workstation at the Copenhagen campus.

The preferred way of getting managed GPU access at AAU is through [CLAAUDIA](https://www.researcher.aau.dk/contact/claaudia). For selected projects, you may be granted access to the local workstation with your {AAU\_EMAIL\_USERNAME}, which is the part of your AAU MAIL before the @ sign (mine is cer).

Then **on the campus** you can access to the jupyter server  by opening a browser with the following address: [http://172.30.207.25](http://172.30.207.25/) 

The first time you'll connect, your user name is your {AAU\_EMAIL\_USERNAME} and you'll have to give a password of your choice (and remember it for future logins). 

A successful login should bring you to a conda and CUDA enabled jupyter lab instance with 2 GPUs.

You can install your preferred custom packages to your homespace with the `--user` flag:

`pip install --user scikit-learn`

If you want to access to the server outside of the campus, you will have to setup a [VPN](https://aalborg-university.gitbook.io/machine-learning-workstation/connection/connection-through-vpn) (preferred) or [ssh with AAU two factor authorization](https://aalborg-university.gitbook.io/machine-learning-workstation/connection/connect-to-the-machine) (not preferred, but included for historical reasons). 

At this stage you should have a nice jupyterlab server that can run jupyter notebooks with many extension, a terminal. The following sections will guide you through using the GPUs, exchange data, and many other tasks. Moreover, a list of useful links is provided, including [CLAAUDIA](https://www.researcher.aau.dk/contact/claaudia) GPU access. 

For any question about the platform, please contact [Cumhur Erkut](mailto:cer@create.aau.dk). For questions, suggestions, and corrections related to the content of this documentation, refer to [this page](https://github.com/miccio-dk/machine-learning-workstation-docs/issues).