Low Consumption Artificial Intelligence Models and Optimization of Computing Resources

In this paper, we explore the critical role of low consumption artificial intelligence (AI) models in promoting sustainable computing practices. As energy demands escalate and environmental concerns intensify, the need for optimizing computing resources has never been more pressing. We analyze the evolution of AI models, highlighting the inherent challenges of balancing performance and power consumption while advocating for innovative approaches in hardware and software optimization. Through a detailed examination of energy-efficient design principles, key enabling technologies, and various optimization techniques, we present case studies that illustrate successful implementations of low consumption AI across multiple sectors, including healthcare and smart cities. Ultimately, we argue that advancing low consumption AI is essential for sustainable technological progress, and we propose future research directions that integrate renewable energy solutions and novel computing paradigms.

کلیدواژه ها:

Low Consumption AI ، Energy Efficiency ، Resource Optimization ، Sustainable Computing ، Hardware Optimization ، Edge Computing