GPU has longer more specialized processing that is significantly better at doing certain things than a generalized CPU. Things that benefits from tons of parallel threads more than being able to react more quickly to changing conditions will process significantly faster on a GPU than a CPU. Having the ability to add more parallel processing units (I.e. additonal GPUs is a huge advantage in crypto, machine learning analysis, video and 3D polygon rendering, etc. Basically things that have tons of work to get done, and that set of work is unlikely to be affected by the outcome of work running in parallel. A CPU needs ro balance that fact that it wastes a ton of processing if it tries to calculate something that is more dynamic. The content of the pixels in a video, or needing to process the entire set of millions of relationships to reach a conclusion will benefit from the GPU and adding more GPUs in parallel benefits more because most of those workloads will always be extremely large multiples of the number of threads in a single GPU. In a CPU, things like unpredictability of human input or branching logic that has too many possible branches to just calculate them all in the hopes that one of those branches might be the one that actually gets used, so the threads calculate much smaller units and adding more CPU cores/threads then has greatly decreasing return on investment because either you have to wait for something to actually happen or you haven’t calculate all the most probable outcome and waste a ton of work. The shorter threads mean less efficient at complex calculation, but getting results that some other process is waiting in faster.

Anyway, there’s a reason we still have GPUs and dont just keep increasing CPU cores instead.