Whats actually happening when a model spills out of VRAM into system memory?

So as far as I understand it, llama.cpp can run models across multiple different sources of compute (multiple GPU, multi-core cpu, cpu+gpu, etc). However, what I'm not understanding is how that split occurs so that I can