Multimodal open d1 decision models for the edge

Hugging Face has released a new category of small, multimodal decision-making models designed to run locally on edge hardware. By enabling vision and reasoning capabilities directly on devices rather than via cloud servers, these models prioritize data privacy and reduce latency for real-time applications. This development suggests a shift toward moving complex AI tasks closer to the user, potentially lowering infrastructure costs and dependency on internet connectivity for intelligent automation.