What I’m seeing is much greater values of CPU and memory utilization on the top right corner, which doesn’t seem to match htop / free -g. So, for instance, the usage on the JH extension is showing consistently that I’m using the full 480G in RAM, which is a lot. And that extension’s reading is primarily the reason why I chose such a large compute node. That said, when I htop, or use free -g, I only see ~50G of RAM consumption. Do you know what could possibly cause that?
You’ve tagged this as JupyterHub, but it sounds like you’re using JupyterLab or Jupyter Notebook (or perhaps some other front-end?). Which extension are you using to monitor your resource usage?
I was seeing this weird thing from past four days. The actual job utilized less than 50GiB memory before the cpu and memory utilization values shown in the JupyterHub GUI is very high (almost 100%). Have to analyse the root ccause of this happening