Distributed Inference Network

Topic

A Distributed Inference Network (DIN) is an architectural framework that distributes artificial intelligence inference workloads across a decentralized network of interconnected devices, edge nodes, and cloud servers. By leveraging collaborative edge-cloud computing, intelligent scheduling, and localized processing, DINs reduce latency, enhance security, and improve scalability compared to traditional centralized cloud-based AI architectures.