A valuable technologyprovider specializing in industrial IT solutions, unveils its Sustainable AI initiative, focused on high-performance Edge AI, intelligent IoT and scalable deployment architectures. In response to the energy and carbon challenges driven by rapidly increasing demand for AI computing, the initiative will help key industries, including manufacturing, transportation and energy, adopt AI at scale while reducing energy consumption and environmental impact. Avalue said future products and solutions will prioritize performance per watt as a core design metric, supported by increasingly measurable energy efficiency disclosure and optimization methodologies, advancing AI innovation and sustainability accountability in parallel.
In recent years, large language models (LLM) and AI applications have accelerated global computing demand in data centers and at the edge. Avalue noted that the environmental impact of AI generally comes from three main areas: increased electricity consumption (due to ongoing training and inference workloads), higher carbon emissions (particularly in regions where power grids still rely heavily on fossil fuels), and lifecycle emissions related to hardware manufacturing and replacement. As AI continues to develop, industries must adopt more energy-efficient IT architectures and stronger sustainability governance to balance growth and responsibility.
Boosting Energy Efficiency with Edge AI and IoT: Taking Sustainable AI from Concept to Deployment
Avalue emphasized that AI computing should not be concentrated only in centralized cloud data centers. By enabling inference closer to where data is generated via AI Edge Computing, organizations can reduce data transport and bandwidth demand, alleviate long-term data center energy burdens, and improve overall system efficiency and resilience. Avalue will continue its expansion Cutting-edge AI And IoT around three principles: energy saving, high efficiency and deployability, to help customers accelerate intelligent transformation with reduced energy consumption.
Avalue’s sustainable AI solution focuses on:
- Energy-efficient Edge AI Systems: Low-power architectures with real-time inference capabilities to support industrial, healthcare, transportation and retail applications.
- AI traffic flow detection solution: real-time video analysis to optimize urban traffic management, reduce traffic-related emissions and improve road safety and mobility efficiency.
- IoT smart energy management applications: integrating sensors and AI analytics to monitor energy consumption, detect anomalies, and optimize equipment efficiency to reduce waste.
Next Steps: Three Actions to Accelerate Industry Adoption of Sustainable AI
To accelerate real-world deployment and scalability, Avalue will provide three key actions:
- Publish a sustainable report Cutting-edge AI Reference Architecture and Evaluation Methodology: Provide guidance to customers to evaluate efficiency, deployment models, and total cost of ownership (TCO) per workload to reduce deployment time.
- Expand energy-efficient Edge AI product lines and vertical solutions: Focus on high-impact, high-energy scenarios, such as smart transportation, smart manufacturing, and energy management, to drive efficiency in edge inference and system integration.
- Improve lifecycle and supply chain sustainability by design: Beyond operational energy consumption, incorporate lifecycle thinking to improve serviceability and manageability, reducing the environmental impact associated with equipment refresh and replacement.
Sustainable AI is not just a technology upgrade: it is also a shared responsibility and a critical challenge that industries must address when expanding AI adoption. Going forward, Avalue will continue to deepen the integration of energy-efficient Edge AI and intelligent IoT, working closely with ecosystem partners to advance scalable and deployment-ready green IT architectures. Through these efforts, Avalue aims to help businesses find the right balance between innovation and decarbonization, accelerating progress towards a more efficient, smarter and more sustainable future.
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