Large Language Models (LLMs) have transformed natural language processing and generative AI solutions, but at the cost of massive inference overheads. Centralized inference in hyperscale data centers introduces cost, latency, and compliance challenges. This article will examine a dual-layer decentralized inference architecture that distributes model execution across heterogeneous edge and endpoint devices while maintaining reliability, […] The post Decentralized Inference: A Dual-Layer Arch...
