Inference has been optimized. Governance has not.
The AI industry is pouring capital into inference infrastructure, but model optimization alone does not govern how GPU execution behaves in production.
Point tools solve important problems.
Quantization exists. Execution kernels exist. Observability exists. Each contributes to a better stack, but none by itself provides runtime governance of working state, dynamic precision, attention mechanisms, and compute redundancy.
The control plane governs the loop.
Waveform is designed as a real-time inference control plane that governs GPU execution using invariants rather than heuristics. It is additive to the serving environment, not a replacement for it.
The objective is not simply to display utilization. It is to connect structural cause to an admissible action and then verify the technical and economic outcome.
Adapted from Vectris Labs LinkedIn updates on inference governance and Waveform.