Impactful scheduling for GPU clusters

A new scheduling system for GPU clusters was developed to prioritize high-impact research while maintaining full occupancy. The previous priority-based system led to problems like GPU "squatting" and priority inflation, creating a "tragedy of the commons" for the shared compute resources. The new approach replaces this with a system of GPU time budgets, hierarchical fair-share allocation, and a time-slicing contract. This shifts resource allocation from a reactive operational task to a transparent administrative budgeting process, allowing leadership to fund research efforts with GPU time based on their strategic impact.