I have to jump around quite a bit. Largely ML workloads where I default to Windows for training / developing around, and deploying out to Linux. Mac is an optio

I have to jump around quite a bit. Largely ML workloads where I default to Windows for training / developing around, and deploying out to Linux. Mac is an option, but doesn’t make since to do those tasks there. What op said is true for me, I just pop open task manager and I get all the insight I need. No issues there. I don’t ever need to run htop locally, but is key factor in deployments where there are many more cores, accelerator config, etc I use Mac for some UI projects or systems dev. I’m usually in a bad mood when I have to open activity monitor.