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Advantech Showcases Full Integration of NVIDIA Jetson Thor at COMPUTEX 2025

In a groundbreaking demonstration at COMPUTEX 2025, Advantech, a global leader in industrial edge computing, revealed its comprehensive integration capabilities with NVIDIA Jetson Thor. The event showcased the MIC-743 platform, designed to empower next-generation physical AI and robotics systems.

Advantech's presentation highlighted a robust architecture that seamlessly connects sensors to real-time AI inference, emphasizing low-latency performance and high-speed Ethernet connectivity. The AI platform's design significantly enhances the efficiency and agility of mobile intelligence applications.

The Architecture of Innovation

Advantech's innovative approach starts at the sensor level, compatible with various camera interfaces like MIPI CSI and other high-speed industrial protocols. Data from these sensors is routed through the NVIDIA Holoscan Sensor Bridge, engineered specifically for low-latency applications. This system is bolstered by Advantech’s high-speed sensor switch, which supports up to two 10 GbE upstream links depending on system configuration. The flow of data then reaches the MIC-743, which is built on the NVIDIA Jetson Thor module.

This state-of-the-art system boasts performance capabilities of 2,070 FP4 TFLOPS powered by the NVIDIA Blackwell GPU, along with 128GB LPDDR5X memory, ensuring smooth operation of generative AI models including LLM, VLM, and Vision Transformers. Furthermore, the MIC-743 provides rich I/O options including USB, HDMI, and CAN interfaces, catering to a diverse array of industrial applications.

Compact and Robust Design

Engineered for deployment in challenging environments, the MIC-743 is built to withstand temperatures ranging from -10°C to 60°C and vibrational stresses of up to 3Grms. Its power input ranges from 9-36V, ensuring versatility for various applications. By transitioning from traditional x86 systems to a singular ARM-based platform, the MIC-743 not only delivers superior AI performance but also optimizes energy consumption and reduces physical space requirements.

Accelerating Deployment through Ecosystem Integration

Advantech’s extensive expertise in edge architecture allows it to merge AI hardware, sensor infrastructure, and networking capabilities into a single, deployable edge AI solution. This integration significantly shortens time-to-market, enabling real-time decision-making powered by vision-based analytics across various use cases, from heavy machinery to humanoid robotics.

Key benefits of this streamlined approach include:

• - Reduced System Complexity: Clients can simplify their systems and expedite implementation.
• - Enhanced Energy Efficiency: Compared to traditional systems, this new architecture optimizes form factor and power consumption.
• - Adaptability: Customized solutions are easily tailored to industrial and mobile use cases, minimizing engineering effort.

Live Demonstration at COMPUTEX 2025

At its booth (K0605) during COMPUTEX 2025, Advantech offers an exclusive live demonstration featuring its comprehensive implementation of Jetson Thor, powered by NVIDIA's Video Search and Summarization technology. Attendees are invited to witness how sensor fusion and AI acceleration come together in the MIC-743.

Visitors will have the opportunity to experience firsthand how Advantech's innovations are reshaping the future of AI computing tailored for mobility, underscoring the company’s mission to drive a smart planet.

About Advantech

Founded with the vision of empowering a smart planet, Advantech is a global leader in IoT intelligent systems and integrated platforms. The company is committed to catering to the growing demands of IoT, big data, and artificial intelligence, providing hardware and software solutions anchored around the Edge Intelligence WISE-PaaS. Through partnerships and collaborations, Advantech aims to cultivate ecosystems that advance industrial intelligence.

For additional information, contact Julia Chen at Advantech, reachable at +886-2-2792-7818, Ext. 1325 or via email at [email protected].