arxiv
PublishedMay 11, 2026 at 4:00 AM
LLMSpace: Carbon Footprint Modeling for Large Language Model Inference on LEO Satellites
Publisher summary· verbatim
arXiv:2605.05615v2 Announce Type: replace Abstract: Large language models (LLMs) impose rapidly growing energy demands, creating an emerging energy and carbon crisis driven by large-scale inference. Solar-powered, AI-enabled low Earth orbit (LEO) satellites have been proposed to mitigate terrestrial
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Originally published on arxiv ↗