Datacenters in the Desert: Feasibility and Sustainability of LLM Inference in the Middle East
arXiv · · Significant research
Summary
This paper analyzes the energy consumption and carbon footprint of LLM inference in the UAE compared to Iceland, Germany, and the USA. The study uses DeepSeek Coder 1.3B and the HumanEval dataset to evaluate code generation. It provides a comparative analysis of geographical trade-offs for climate-aware AI deployment, specifically addressing the challenges and potential of datacenters in desert regions.
Keywords
LLM · Datacenter · Carbon Footprint · UAE · Sustainability
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