C++ Systems
C++ Systems Engineering for Edge AI Runtimes
Stepfault writes native C++ inference runtimes for edge devices, avionics, and factory-floor PLCs where managed-language overhead and cloud round-trips are unacceptable. The result is deterministic timing, a small static memory footprint, and offline operation on constrained hardware.
1. When C++ is the right tool
- Hard real-time control loops with bounded latency requirements
- Resource-constrained hardware with tight memory and power budgets
- Air-gapped or intermittently connected environments
- Closed-loop models running directly on PLCs and embedded controllers
2. What we deliver
- Quantized model integration via native runtimes (e.g. llama.cpp-class engines)
- Zero-copy data paths and arena allocation for predictable memory use
- SIMD / hardware-accelerated kernels tuned to the target architecture
- Deterministic scheduling so inference never blocks the control loop
3. Integration with MAPOS
Edge C++ runtimes act as execution agents inside MAPOS. The orchestrator and policy guard can run centrally while latency-critical inference executes locally, preserving deterministic routing and audit logging without forcing every hop through the network.