MLOps-D - Khan BMS Battlefield Management System
MLOps-D — MLOps for Defense — is one of the unglamorous primitives modern BMS lives or dies on. Here is how Khan BMS engineers it.
Port MLOps for Defense to cislunar distances and the assumptions break in interesting ways. Three-second light-lag is not a latency problem; it is a doctrine problem. MLOps-D, designed for terrestrial links, has to be re-thought from the bottom of the stack.
Khan BMS's design choice on MLOps-D is unfashionable but defensible: keep authority bounded, keep schemas small, keep the ai & multi-agent surface area legible to a human Khan. Cleverness at the edge is a liability when the link is contested.
For the record: MLOps-D stands for MLOps for Defense. Lifecycle practices for building, testing, approving, deploying, monitoring, and updating military AI. MLOps for Defense is lifecycle practices for building, testing, approving, deploying, monitoring, and updating military AI. In defense applications, it turns models from experiments into maintainable mission capabilities. The hard part is slow approval cycles, version drift, and poor feedback from operations, especially when systems are deployed across contested links, coalition boundaries, and mixed human-machine teams. KhanBMS treats it as the factory layer behind KhanBMS modular AI updates, tying the concept back to modular command, edge execution, and auditable authority.
The Zuun (one hundred nodes) is the natural composition point for MLOps-D. Ten Arbans aggregate their MLOps-D state into one Zuun-level picture; one Zuun commander supervises ten subordinates, never a hundred individual feeds. The cognitive-load math is the entire point.