EDOM Technology will participate in NVIDIA GTC for the third consecutive year under the theme “From AI to Action: Physical AI in Motion.” Together with ecosystem partners, EDOM will showcase its latest AI computing platforms, key components, and system integration capabilities. At Booth #242, EDOM will present physical AI and robotics solutions powered by NVIDIA Jetson hardware and software resources, demonstrating how AI technologies are being developed and deployed across diverse fields such as smart healthcare, vision recognition, and speech understanding. The showcase will highlight EDOM’s capability to connect the AI ecosystem and accelerate industry innovation through integrated solutions.
During the GTC exhibition, EDOM Technology plans to demonstrate several innovative applications that combine physical AI with edge computing. With the introduction of the NVIDIA Jetson Thor, AI inference and control architectures can now be integrated into a single system, providing a high-performance computing foundation for real-time closed-loop control and multimodal sensing, and accelerating the real-world deployment of multimodal intelligent robots.
In the robot interaction showcase, EDOM collaborates with Algoltek to present “Dexterous Hand AI.” Powered by 4D AI Vision technology and vision-action models, the system can recognise and predict audience hand gestures in real time and respond accordingly. This demonstration highlights low-latency AI inference and instant feedback, while also presenting a complete Sim-to-Real workflow, from virtual simulation to physical deployment. EDOM also partners with Nexuni to present “AI Workforce: Embodied Intelligence.” Built on the NVIDIA Thor platform, the system enables dual-arm robot manipulation through few-shot learning. The demonstration shows a service robot performing household tasks, including object recognition, grasping, and fabric folding. Because fabric is a highly deformable material, handling it requires complex visual perception, state estimation, and coordinated dual-arm control. By leveraging Jetson Thor’s edge AI inference and real-time dynamic path correction, the system continuously adjusts its movements during the folding process, improving task success rate and operational stability. This highlights the potential of physical AI in smart manufacturing, human-robot collaboration, and service robotics.
In the area of enterprise AI and smart biotech applications, EDOM collaborates with Avalanche Computing to showcase the “Secure Offline Generative AI” platform. Combining enterprise-grade private LLMs with real-time speech intelligence, the platform runs on the NVIDIA Jetson edge platform, enabling low-latency offline speech recognition and semantic analysis. This allows generative AI to deliver real-time interaction within highly secure enterprise environments. EDOM is also working with CyteSi to present the “Software-Defined High-Throughput Wet Lab,” an AI-driven laboratory automation platform. CyteSi’s EWOD (Electrowetting-on-Dielectric) technology digitally controls micro-droplets with precision, supporting workflows such as NGS sample preparation, drug discovery, and synthetic biology research. The system uses NVIDIA Jetson as its edge computing core, integrating biochips from Japan Display Inc. (JDI) with real-time image analysis capabilities to provide an intuitive user interface and highly efficient experimental workflow, advancing AI adoption in smart biotech research and automated laboratories.
In addition, EDOM will showcase the “NVIDIA Jetson Thor Peripheral Ecosystem,” integrating a range of EDOM-certified peripheral components, including high-speed storage, Wi-Fi 6/6E and 5G communication modules, GMSL and MIPI cameras, 10G high-speed networking, sensors, camera modules, and high-speed I/O interfaces. This ecosystem helps developers rapidly build next-generation robotics and physical AI systems. Through comprehensive hardware integration and platform support, EDOM assists robotics developers in accelerating product design, deployment, and mass production, further expanding the physical AI and Jetson Thor ecosystem.
Jeffrey Yu, CEO of EDOM Technology, stated, “The key to physical AI lies not only in computing performance, but in comprehensive hardware–software integration and ecosystem collaboration. Through NVIDIA’s Three-Computer architecture and the Jetson Thor platform, we help customers build scalable, production-ready, end-to-end AI solutions—from model training and simulation validation to edge deployment.” He further noted that EDOM is not just a hardware supplier, but is committed to integrating peripheral modules, AI software frameworks, and partner resources to help enterprises accelerate the adoption of AI and robotics technologies.
