While each local cost is small, the cumulative global cost in terms of CPU (or GPU) usage and energy consumption is potentially very large. This cumulative expense could be comparable to the cost of creating a high-quality QM conformational database once and for all. Rather than having every researcher independently generate low-quality conformations, everyone could rely on a shared, accurate QM database. This approach would not only optimize computational and energy resources on a global scale but also provide much greater accuracy in docking applications.