We’re conducting research with people who decide how their organization’s reserved GPU capacity is utilized, whether that capacity is on-premise, co-located, or contracted with a cloud provider. We want to understand how your team schedules work across reserved GPUs, how you decide what runs and when, and how you know whether your GPUs are being used efficiently. In this study, you'll share feedback on an early concept for scheduling and monitoring work on reserved GPUs.