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PreprintCC BY 4.0arXiv

BIRDS: Characterizing and Understanding Biodiversity Impact of Large Language Model Serving

Abstract

Large language model (LLM) serving creates environmental impacts beyond carbon and water, including ecosystem damage through biodiversity-related pathways. We present BIRDS, a framework for Biodiversity Impact of Request-Driven LLM Serving. BIRDS defines request-level functional units, quantifies operational and embodied biodiversity impact, and introduces Quality-Normalized Biodiversity Impact (QNBI) to jointly analyze ecological impact and response quality. Across diverse workloads, models, GPUs, and regions, BIRDS reveals that biodiversity impact accumulates at scale and exposes quality-aware serving tradeoffs. The code is available at https://github.com/TianyaoShi/BIRDS.

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BibTeX
@misc{shi2026birds,
  title = {{BIRDS: Characterizing and Understanding Biodiversity Impact of Large Language Model Serving}},
  author = {Tianyao Shi and Yi Ding},
  howpublished = {arXiv},
  year = {2026},
  month = aug,
  doi = {10.48550/arxiv.2605.27480},
  eprint = {2605.27480},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2605.27480},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - BIRDS: Characterizing and Understanding Biodiversity Impact of Large Language Model Serving
AU  - Tianyao Shi
AU  - Yi Ding
PY  - 2026
DA  - 2026/08/29
PB  - arXiv
DO  - 10.48550/arxiv.2605.27480
UR  - https://arxiv.org/abs/2605.27480
AB  - Large language model (LLM) serving creates environmental impacts beyond carbon and water, including ecosystem damage through biodiversity-related pathways. We present BIRDS, a framework for Biodiversity Impact of Request-Driven LLM Serving. BIRDS defines request-level functional units, quantifies operational and embodied biodiversity impact, and introduces Quality-Normalized Biodiversity Impact (QNBI) to jointly analyze ecological impact and response quality. Across diverse workloads, models, GPUs, and regions, BIRDS reveals that biodiversity impact accumulates at scale and exposes quality-aware serving tradeoffs. The code is available at https://github.com/TianyaoShi/BIRDS.
ER  -