We curate most relevant posts about Sustainability & Green ICT on LinkedIn and regularly share key takeaways.

This edition discusses the multifaceted issue of artificial intelligence's environmental impact and the emerging field of Green AI. They highlight concerns regarding the significant energy and water consumption of data centres, especially with the proliferation of large language models (LLMs) and AI workloads. Proposed solutions include more efficient AI models like Small Language Models (SLMs), optimising coding practices, and developing sustainable data centre infrastructure such as underwater and liquid-cooled facilities powered by renewable energy sources. The discussions also touch on the importance of measuring and reporting AI's carbon footprint, fostering ethical AI development, and the broader role of climate tech startups and governance in addressing these challenges.

This podcast was created via Google NotebookLM.