At Computex Taipei 2026, Intel took the wraps off its brand-new OpenVINO Physics AI framework. This framework comes alongside the latest Core Ultra Series 3 processor, and its primary focus is on tackling the hurdles that come with large-scale deployment of physics AI and robotic systems. The OpenVINO Physics AI framework provides a standardized approach to transfer robotic strategies and multimodal models from experimental settings to real-world systems. This move substantially cuts down on the costs associated with custom development. The Core Ultra Series 3 processor is built on Intel's cutting-edge 18A process technology. It seamlessly integrates CPU, GPU, and NPU modules, delivering a whopping 180 TOPS of computing power. Such power enables it to handle both real-time control and AI inference tasks concurrently. Take SensoryAI's multi-agent retail robot Ella as an example. After migrating Ella to this platform, SensoryAI was able to ditch the original complex combination of a CPU and an accelerator. Instead, a single chip did the job. This not only reduced the number of system components but also simplified the software, paving a clearer way for large-scale robotic design. This solution has already found its way into over 130 design projects. These projects span a wide range of areas, including industrial generative AI, AI visual defect detection, and medical image analysis. They cover diverse scenarios, from smart factories to medical equipment, showcasing the framework's versatility and wide applicability.