NVIDIA Edge AI Computing

Designed for advanced vision AI development and large-scale video analytics, Lambortech AI Vision Workstations combine NVIDIA RTX GPU acceleration with high-performance computing architecture for AI model training, multi-camera inference, and real-time image processing. These workstation-class platforms are ideal for smart surveillance, industrial inspection, intelligent transportation, and edge-to-cloud AI deployment workflows.

Lambortech delivers compact and rugged NVIDIA Jetson-based edge computing systems for UAV and drone missions. Our platforms provide onboard AI inference, real-time image analytics, and mission-critical communication from the air to the ground. Designed for high performance and low power, they enable advanced aerial applications such as inspection, mapping, surveillance, and search & rescue — anywhere reliable computing is needed.

Lambortech delivers compact NVIDIA Jetson-based Edge AI platforms purpose-built for robotics—enabling sensor fusion, low-latency control loops, and modular I/O integration for real-world autonomy. From humanoid robots to AMR/AGV and intelligent manipulators, our robotics-ready Edge AI designs support LiDAR, depth cameras, and multi-sensor perception—where deterministic response and compact integration matter.

Lambortech delivers rugged AI Panel PC platforms that combine industrial touchscreen interfaces, NVIDIA-powered edge AI computing, and GMSL camera connectivity. Designed for harsh mobile environments, these systems enable real-time AI vision processing, data visualization, and intelligent control for transportation, railway, and machine automation applications.

The Eye AI Camera, powered by the NVIDIA® Orin™ NX Super platform, provides a comprehensive, one-stop Smart City solution. Designed specifically for industrial inspection, the NeuroEye-C series uses Sony's high-resolution, high-sensitivity sensor technology.

This powerful IP66 Edge AI GPU Computing platform is implemented in machine learning, industrial automation, autonomous vehicles, sustainable energy engineering and many other solutions that require significant computing power and still maintain a substantial level of mobility.