CPU and GPU mining use different hardware resources and often different algorithms. The appropriate path depends on compatibility, efficiency, system purpose, and risk tolerance.
CPU workloads can reduce general responsiveness and rely on processor cooling, thread allocation, cache, and memory behavior. They are easy to test but not automatically economical.
Practical note: Reserve threads for Windows and monitor package power and throttling.
GPU workloads rely on driver stability, graphics memory, power delivery, and cooling. They can interfere with gaming, rendering, or desktop responsiveness.
Practical note: Test stock settings before changing clocks or voltage.
Compare supported algorithms, actual accepted work, total wall power, temperatures, noise, stability, and opportunity cost.
Practical note: Profitability can change and is never guaranteed by hardware type alone.
Some setups allow it, but combined heat and power must be considered and each path should be tested separately first.
It depends on the algorithm, exact hardware, tuning, electricity cost, and market conditions.
Both are manageable when tested at defaults, one device and one change at a time.