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Energy Use > 2026 Vol. 2 > No. 2 > 100046
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Energy-Aware Computing Power Sharing For Sustainable Artificial Intelligence

  • 1.

    Department of Building Science, School of Architecture, Tsinghua University, Beijing 100084, China

  • 2.

    Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing 100084, China

  • 3.

    Department of Engineering Mechanics, Tsinghua University, Beijing 100084, China

  • 4.

    ComNergy Co. Ltd., Beijing 100080, China

    • Fund Project: This work was supported by the Ministry of Industry and Information Technology: Computing Infrastructure Enhancement and Open Bidding for Selecting the Best Candidates (Cross-Domain Task Orchestration System for Heterogeneous Computing Power), Beijing Natural Science Foundation (QY25032), and the Tsinghua University Undergraduate Academic Research Promotion Program.
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  • Corresponding author: lxc4@tsinghua.edu.cn 
  • Accepted Date:  June 08, 2026
    Published Online:  June 26, 2026
Energy Use  2(2),  https://doi.org/10.59717/ipj.energy-use.2026.100046  |  Cite this article
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    • REFERENCES
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  • Cite this article:

    Liu X., Zheng B., Fu Z., et al. (2026). Energy-Aware Computing Power Sharing For Sustainable Artificial Intelligence. Energy Use 2:100046. https://doi.org/10.59717/ipj.energy-use.2026.100046
    Liu X., Zheng B., Fu Z., et al. (2026). Energy-Aware Computing Power Sharing For Sustainable Artificial Intelligence. Energy Use 2:100046. https://doi.org/10.59717/ipj.energy-use.2026.100046

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