At embedded world 2025, Tria Technologies made a significant mark by revealing their latest family of modules powered by Qualcomm’s Dragonwing processors. These modules, supporting various operating systems including Yocto Linux, offer a versatile solution for developers in the embedded Linux space, catering to the demands of Edge AI, machine learning, and IoT applications across diverse sectors such as industrial automation, healthcare, agriculture, and construction.
The Innovation Behind the Modules
Christian Bauer, the Product Marketing Manager at Tria Technologies, shed light on the technological intricacies of these modules, the challenges addressed during their design, and the roadmap envisioned for the future. Tria Technologies prides itself on having the most extensive SMARC and standard module portfolio in the market, and the introduction of five new compute modules further solidifies their position as leaders in the OSM, SMARC, and COM Express/HPC markets.
Strategic Role of the New Products
The launch of IQ‑615, QCS5430/QCS6490, IQ‑9075 Vision AI‑KIT, and Snapdragon X Elite COM Express/COM-HPC modules showcases Tria’s commitment to leveraging Qualcomm Technologies’ cutting-edge advancements to deliver high computing power and efficiency across embedded and Edge AI applications. By tailoring each product to specific workload and thermal requirements, Tria empowers engineers to seamlessly scale across various use cases within OSM, SMARC, and COM- Express/HPC environments.
Targeting Market Segments
The versatility of these new modules positions them as ideal choices for a wide array of Edge applications, including industrial automation, robotics, commercial and agricultural vehicles, healthcare, and smart mobility. Tria’s strategic focus on vertical segments such as industrial automation, robotics, and medical applications highlights the tailored approach they are taking to cater to specific market needs.
Uniqueness for IoT Devices and AI Applications
Tria’s new modules, based on the Dragonwing platforms, excel in addressing diverse requirements while ensuring low power consumption, enhanced performance, and robust AI capabilities for deployment in challenging environments. The incorporation of an in-built AI accelerator in each module underscores Tria’s commitment to enhancing AI performance, thus unlocking new opportunities for AI deployment at the Edge.
German Design and Manufacturing Excellence
The emphasis on German design and manufacturing underscores Tria’s commitment to reliability, supply chain confidence, and product performance. By adhering to stringent quality control measures and precision engineering, Tria ensures that their products meet the highest standards of excellence. The global design network, coupled with a strong focus on software integration and compliance with regulations, further enhances Tria’s credibility in the market.
Multi-OS Capability and Market Demand
The support for Android 16, Windows 11 IoT Enterprise, and Yocto Linux across Tria’s new modules addresses the growing need for multi-OS compatibility among developers working across diverse verticals. In industries like industrial automation, smart retail, and smart cities, the flexibility offered by Tria’s modules in supporting various operating systems enables developers to optimise their software stacks without being constrained by hardware limitations.
Expanding the Qualcomm-Powered Range
The collaboration with Qualcomm not only enables Tria to respond swiftly to evolving market demands but also paves the way for expanding their product portfolio with new offerings aligned with next-generation platforms. The launch of the initial five platforms is just the beginning, and Tria is committed to introducing a broader range of solutions to meet the diverse needs of customers across industrial, retail, medical, and smart infrastructure sectors.
Future Roadmap and Edge AI Evolution
As Edge AI continues to evolve as a pivotal force driving innovation across industries, Tria Technologies and Qualcomm are gearing up to deliver standardised compute modules that support a wide array of AI workloads. By leveraging advanced Edge AI techniques and providing developers with scalable hardware and robust development tools, Tria aims to accelerate time-to-market and make Edge AI more accessible and impactful in embedded applications.
Key Takeaways:
– Tria Technologies’ collaboration with Qualcomm heralds a new era of innovation in Edge AI applications.
– The introduction of five new compute modules underscores Tria’s commitment to addressing diverse market needs across vertical segments.
– Tria’s focus on multi-OS support and AI acceleration positions their modules as versatile solutions for a wide range of Edge applications.
– German design and manufacturing excellence enhances product reliability, supply chain confidence, and performance.
– The roadmap ahead promises further enhancements in Edge AI capabilities, catering to evolving market demands and customer needs.
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