In the contemporary era, Artificial Intelligence (AI) has become integral to IoT systems, revolutionizing several fields. Due to resource constraints of these devices, various model optimization techniques are employed, such as split computing, where the workload is partly offloaded to the cloud to ensure that the required resources are within the capabilities of the employed devices. Despite these optimizations, models still require advanced hardware like GPUs which may be affected by faults. The graphics processing unit, or GPU, has emerged as a vital computing technology in both personal and business settings. It is specifically designed for parallel processing and is utilized in numerous applications such as graphics and video rendering.