OpenInfer is the hybrid, local-first AI runtime powering the next generation of proactive, context-aware assistants, transforming AI from backend tools into real-time companions embedded in the world around us.
Built from the ground up, OpenInfer runs assistant workflows on constrained devices and progressively enhances with cloud or nearby compute when available. We unblock privacy-first, reliable, and responsive intelligence everywhere , from laptops to drones to retail systems.
Across finance, defense, manufacturing, retail, and co-pilot devices, we help leaders bring private, efficient, and autonomous intelligence into the real world. Together, we’re shaping the future of AI at the edge.
Follow new releases, engineering breakthroughs, and examples of Local AI in action — all built to run closer to where your product lives.
Edge devices have limited memory footprints, making Mixture of Experts (MoE) models with active parameter selection the optimal solution for deploying sophisticated AI reasoning locally. Active vs....
In our recent posts, we’ve explored how CPUs deliver impressive results for local LLM inference, even rivaling GPUs, especially when LLMs push on hardware's memory bandwidth limits. These bandwidth...
AI inference workloads on CPUs are mostly memory- bound rather than compute-bound, with performance bottlenecks arising from poor cache utilization, static thread scheduling, and suboptimal task...
We deliver advanced AI at the edge—making intelligence private, efficient, and reliable everywhere. Our vision is to unlock knowledge through AI, empowering systems to reason, act, and adapt across every surface.
We believe powerful AI should feel seamless — and fit the systems it serves.