Distributed GPU training setup is a nightmare for most open-source devs. Before you even start training, you're stuck manually calculating memory estimates, setting compute budgets, and assigning node roles. One miscalculation and the entire session crashes. Hours wasted debugging infrastructure instead of iterating on models. This is the hidden tax of multi-GPU workflows that nobody talks about.