Machine Learning would eat all CPU/GPU/memory/disk you could possibly throw at it. Right now training some Deep Learning model with a lot of preprocessing and all my Threadripper and Titan RTX cores are at 100%. If you use Docker a lot with multiple independent microservices/containers running, or VMs, or just compiling large code bases, the more cores the merrier (unless there is some bug in CPUs that prevent them from scaling properly).