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Work item:
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L.1802 (ex L.IEDL)
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Subject/title:
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Energy saving strategy for deep learning computing
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Status:
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Consented on 2026-06-18 [Issued from previous study period]
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Approval process:
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AAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2026 (Medium priority)
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Liaison:
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-
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Supporting members:
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China, China Unicom, China Telecom, Huazhong University of Science and Technology, Zhejiang Dahua Technology Ltd
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Summary:
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This Recommendation identifies energy-saving strategies and technologies for deep learning AI computing procedures. It also provides best-practice recommendations on when and how these technologies should be used in deep learning AI computing, thereby reducing the energy consumption of AI computing centres or AI computing platform systems.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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| ITU-T A.5 justification(s): |
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First registration in the WP:
2023-07-13 11:41:29
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Last update:
2026-06-30 14:31:37
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