Translate your software into CPU, RAM, and GPU needs
CPU (processor) matters because many engineering tasks are still CPU-driven, especially modeling steps, compiling code, and parts of simulation workflows. A stronger CPU helps with responsiveness and reduces wait times, but what matters most is sustained performance, not just short bursts. If your laptop is thin with limited cooling, it may start fast and then slow down during long runs. GPU (graphics processor) needs depend on whether your tools use hardware acceleration for 3D viewports or compute tasks. Integrated graphics (built into the CPU) can be fine for light CAD and general coursework, but heavier 3D assemblies and certain workflows benefit from a dedicated GPU (a separate graphics chip). The tradeoff is ownership: dedicated GPUs usually mean more heat, more fan noise, and shorter battery life, which you will notice in lecture halls and libraries.
