Learn how GPUs can be time-shared between multiple hosts connected in a PCIe cluster using a method called device lending. Unlike approaches for sharing GPUs that typically require specific programming models, device lending makes a GPU appear to the operating system as if it is locally installed. This allows the GPU to be controlled and used by a remote host without any modifications to existing software. We'll present how device lending is implemented using standard PCIe and non-transparent bridging. As a proof-of- concept, we accelerate EIR, a computer-aided medical diagnosis system using machine learning and computer vision to do polyp detection, from being an offline tool to giving real-time feedback by dynamically borrowing remote GPU resources.