Intelligent products deserve intelligence that lives inside them — fast, private, and always available. Our platform makes that possible, enabling your models to run directly on resource-constrained devices without disrupting system performance or requiring infrastructure changes.
2-3x More Performant than Industry Edge Inference Leaders
Through innovative optimizations in quantized value handling, memory access, and model-specific tuning, OpenInfer achieves breakthrough performance on popular models like DeepSeek-R1, Qwen2, and Llama. Perfect for real-time AI applications and edge deployment.
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.
Follow new releases, engineering breakthroughs, and examples of Local AI in action — all built to run closer to where your product lives.
Client-Side Inference, Reimagined: Llama 4 Scout Goes Local Deploying large AI models across devices is hard. Llama 4 Scout, which we showcase here, typically wouldn’t fit on client devices. But with...
GPUs are a cornerstone of modern AI workloads, driving both large-scale model training and real-time inference applications. However, achieving full utilization of these powerful accelerators remains...
We are thrilled to announce that VentureBeat has covered our latest $8M funding round, highlighting our mission to redefine AI inference at the edge. OpenInfer is building the first-ever Inference OS,...