Avalue Technology, a Taiwan-listed provider of industrial computer systems, has launched what it calls a sustainable AI Initiative, aiming to curb the rising energy and carbon footprint associated with the rapid expansion of artificial intelligence.
The group said the programme would focus on high-performance Edge AI, smart IoT applications, and scalable deployment architectures, targeting sectors such as manufacturing, transportation, and energy.
The initiative comes as surging demand for AI training and inference places growing strain on electricity grids and data centre capacity worldwide.
Avalue said future products would prioritise performance per watt as a core design metric, alongside more systematic disclosure and optimisation of energy efficiency.
The company framed the approach as an attempt to advance AI deployment while addressing mounting environmental concerns.
Large language models and other AI workloads have driven sharp increases in global computing demand in recent years, both in centralised data centres and at the network Edge.
According to Avalue, AI’s environmental impact is largely driven by three factors: higher electricity consumption from continuous training and inference, increased carbon emissions in regions reliant on fossil fuels, and lifecycle emissions linked to hardware manufacturing and replacement.
The company argued that more efficient computing architectures, combined with stronger sustainability governance, will be required if industries are to scale AI use responsibly.
Avalue is positioning Edge AI as a key lever in reducing energy intensity. By shifting inference closer to where data is generated, organisations can cut data transmission requirements, ease long-term pressure on data centres, and improve system efficiency and resilience, the company said.
Its Sustainable AI portfolio includes low-power Edge AI systems for real-time industrial and healthcare applications, an AI-based traffic flow detection system designed to reduce congestion-related emissions, and IoT-enabled energy management tools that monitor and optimise equipment performance.
To accelerate adoption, Avalue plans to publish a Sustainable Edge AI reference architecture and evaluation framework, expand energy-efficient Edge AI product lines in areas such as smart transportation and manufacturing, and embed lifecycle and supply-chain considerations into product design to reduce the environmental impact of hardware refresh cycles.
“Sustainable AI is not just a technology upgrade, but a shared responsibility,” the company said, adding that it would work with ecosystem partners to develop deployment-ready green computing architectures.
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