Training large AI models – especially foundation models and generative architectures – can consume megawatt-hours of electricity, often with associated CO₂ emissions depending on the energy source. For AI developers, researchers and CTOs, quantifying and...
The environmental impact of AI’s core infrastructures—particularly data centres—has become a growing concern worldwide. Recent research highlights the significant carbon footprint of large language models (LLMs) in natural language processing (NLP) and emphasises the...
