Taiwanese industrial computing firm Avalue Technology is expanding its portfolio of artificial intelligence (AI) and Edge computing solutions as demand rises for smarter, data-driven urban infrastructure.
The company said it is focusing on high-performance computing (HPC) platforms that combine AI model training with real-time inference at the network Edge. These systems are designed to process large volumes of data closer to where they are generated, improving efficiency and reducing latency in applications ranging from transportation to agriculture.
“As cities become more connected, industries need stronger computing infrastructure to make faster, smarter decisions,” Avalue said. Its integrated AI and HPC offerings aim to enhance decision-making and operational safety across sectors including logistics, public transport, and precision farming.
The company highlighted its ruggedised vehicle-mounted systems, such as the VMS-RPPS, VMS-APL, and VMS-CFS, which gather and analyse data on driving behaviour, vehicle performance, and fuel consumption in real time. By integrating AI Edge analytics, the systems can predict maintenance needs, optimise routing, and reduce emissions — helping fleet operators cut costs and their carbon footprint.
When paired with Avalue’s ARC Series of multi-touch monitors, which feature IP65-rated front panels and operate across a wide temperature range, drivers can access operational data safely and efficiently in demanding environments.
In agriculture, Avalue’s VMS-CFS fanless telematics system is engineered for durability in harsh field conditions, supporting real-time analysis of soil, weather, and crop data. Coupled with the ARC-10W33 touchscreen monitor, farmers can monitor and control machinery on site, promoting more efficient and sustainable practices.
Avalue said it intends to strengthen its position in the artificial intelligence of things (AIoT) segment by offering scalable and energy-efficient computing platforms to underpin next-generation smart city projects.
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