The Rise of On-Device SLM Orchestration: Moving Beyond the Cloud-Dependent AI Model
Introduction Artificial intelligence has been synonymous with massive data centers, high‑throughput GPUs, and an ever‑growing reliance on cloud services. For many years, the prevailing paradigm was cloud‑first: train a gigantic model on petabytes of data, host it in a data center, and expose it through an API. This approach has delivered spectacular breakthroughs—from language translation to image generation—but it also brings a set of constraints that are increasingly untenable for modern, latency‑sensitive, privacy‑aware applications. ...