Introduction to Distributed Inference
Covers the evolution from cloud → edge → mesh, why inference must move closer to devices, and how distributed inference reduces latency, cost, and privacy risk. By the end, you will have a clear mental model of the problem DOSFI solves and why centralized inference is no longer sufficient.
What you'll learn
- The evolution from cloud → edge → mesh
- Why inference must move closer to devices
- How distributed inference reduces latency, cost, and privacy risk
All DOSFI educational content is produced under the Sovereign Closed-Core / Open-Surface model. DOSFI University is theory only — conceptual architecture, mathematics, and design theory. DOSFI Academy is practical only — SDK usage, ABI integration, and hands-on labs. Both tracks draw exclusively from open-surface materials: SDKs, ABIs, documentation, tutorials, examples, and conceptual explanations. Internal implementation details of the Runtime, Scheduler, Router, Readiness Engine, Privacy, Power, Thermal, Vital, DIU, and MNE subsystems are never revealed by either track. The DOSFI Core engine remains permanently sealed, preserving DOSFI's sovereignty, mission-lock, and non-replicable architecture.