Running On-Prem Compute Servers on CoCalc

LINK: https://github.com/sagemathinc/cocalc-howto/blob/main/onprem.md We add an on-prem compute server running on my Macbook Pro laptop to a CoCalc (https://cocalc.com) project, and using the compute server via a Jupyter notebook and a terminal. This involves creating an Ubuntu 22.04 virtual machine via multipass, and pasting a line of code into the VM to connect it to CoCalc. After using a compute server running on my laptop, I create another compute server running on Lambda cloud (https://lambdalabs.com/). This involves renting a powerful server with an H100 GPU, waiting a few minutes for it to boot up, then pasting in a line of code. The compute server gets configured, starts up, and we are able to confirm that the H100 is available. We then type "conda install -y pytorch" to install pytorch, and use Claude3 to run a demo involving the GPU and train a toy model.