For AI and ML workloads, I'd pay close attention to the actual GPU model, VRAM amount, and whether the GPU is dedicated or shared. A T4 can handle many inference and smaller training tasks, but for larger models the available VRAM often becomes the main limitation rather than CPU or RAM.