The Physics of Non-Local Computation
A physics-first treatment of why distributed inference works. Covers the speed-of-light floor, locality of reference, state teleportation, thermodynamic cost of computation, the Landauer limit, battery energy accounting, latency decomposition, and bandwidth vs. inference break-even analysis.
What you'll learn
- Speed-of-light propagation constraints and why they favor mesh-local inference
- Thermodynamic cost of computation and the Landauer limit
- Inference energy consumption and battery-aware routing mathematics
- Full latency decomposition: network, queue, schedule, execute, return
- Bandwidth vs. inference break-even analysis
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.