ADLINK showcased a range of edge AI and embedded computing solutions at Computex 2026. The demonstrations highlighted the integration of diverse silicon platforms from vendors including Intel, NVIDIA, AMD, NXP, Qualcomm, and MediaTek into hardware form factors optimized for smart manufacturing, medical imaging, retail, and autonomous robotics. These systems leverage edge processing to run localized artificial intelligence models, including large language models and computer vision pipelines, directly at the point of data generation.
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For autonomous logistics and factory automation, the company demonstrated an autonomous mobile robot equipped with 3D cameras and powered by an NVIDIA Jetson system-on-module. The robot is designed for autonomous navigation and material handling on factory floors, capable of lifting payloads up to 50 pounds. Additionally, in partnership with AUO, a transparent Micro LED display solution was shown running a local large language model for interactive retail and vending machine applications.
In the embedded computing and system-on-module segment, the exhibit featured Computer on Modules (COMs) based on Intel architecture, designed for integration with custom carrier boards. For lower-power and entry-level edge processing, a compact fanless system utilizing the MediaTek Genio 520 processor was displayed, supporting dual HDMI outputs. The smart camera line features integrated Qualcomm processors, combining optics, sensor, and compute into a single custom-designed and manufactured device.
Edge server and high-performance computing demonstrations included smart manufacturing servers powered by Intel Xeon 6 or AMD EPYC processors. These systems integrate panel solutions for Enterprise Resource Planning (ERP) and knowledge management, allowing customers to simulate application workloads on the hardware before deployment. A dedicated local AI agent demonstration featured an Intel processor utilizing integrated CPU, MPU, and GPU capabilities with the OpenVINO toolkit to run localized generative AI models without requiring discrete graphics hardware.
For medical and high-performance visualization fields, ADLINK presented 3D imaging hardware designed for glasses-free 3D medical displays. This hardware integrates modular NVIDIA GPU boards to scale performance for demanding graphics and parallel computing tasks. Across these industries, the featured technologies emphasize localized intelligence, passive thermal design, and hardware reliability for edge deployments.
