To address the limitations of centralized GPU infrastructures for machine learning inference, a dynamic virtual GPU cloud has been developed that harnesses idle Apple Silicon devices. This decentralized approach pools the processing power of these devices to provide a scalable and cost-effective alternative for GPU-accelerated computing.