Promoting Sustainability: Mitigating the Water Footprint in AI-Embedded Data Centres

Abstract

Artificial intelligence (AI) applications are expanding quickly, which has boosted demand for data centers and created serious environmental problems, notably in relation to water use. The main goal of this project is to promote sustainability by reducing the water footprint in data centers with integrated AI. It looks at many techniques and tools that can be used to use less water while still getting the best results and efficiency. This research offers important insights into environmentally friendly practices for AI-embedded data centers by examining water-efficient cooling approaches, hardware optimization, water recycling, and intelligent water management systems. Data center operators will be able to promote the development and expansion of AI technologies while also helping the environment by putting these methods into practice.