Runtime Optimizationpattern
The compile-time-AI layer that reduces the cost and latency of the model that finally executes at inference — fusion, dead-code elimination, hardware targeting.
It is the layer where compile-time AI most literally reuses classical compiler techniques; Kompile's 25-pass graph optimizer is the exemplar.
Where it appears
- Compile-Time AI taxonomy (2026-07-12)
Descend
Prerequisites
Dependencies
- —
Foundations
Historical evolution
Kompile reduced LLaMA cast ops from 668 to 108 via fixed-point graph optimization.
Implementation details
SKCE itself is a knowledge/application-compilation instance, not a runtime-optimization instance — but the pattern is the same discipline.
Sources
- [2026-07-12-compile-time-ai-knowledge-compiler-architecture] 2026-07-12-compile-time-ai-knowledge-compiler-architecture
- [2026-07-12-compile-time-ai-knowledge-compiler-architecture] 2026-07-12-compile-time-ai-knowledge-compiler-architecture