Laya (OS Jev) on Mac M4 CoreML Offline (45 decisions per second)

The article demonstrates that Laya can run offline on an Apple Mac M4 using CoreML at about 45 decisions per second, showing that practical AI inference can happen directly on endpoint hardware rather than in the cloud. For CIOs and technology leaders, this points to a shift toward lower-latency, privacy-preserving, and potentially lower-cost AI deployment models, while also reducing dependence on external APIs for some decisioning workflows. IT organizations should assess where local inference on Apple silicon or other edge devices can improve responsiveness, resilience, and data control without sacrificing accuracy or manageability.