Research on intelligent computing power prediction based on AI large models
AI large models, represented by ChatGPT, have driven a rapid growth in intelligent computing power demand. Telecom operators and cloud service providers are increasingly expanding their intelligent computing center layouts. The future trends of large models and the scale of their computing power dem...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2024-10-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2024215/ |
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| Summary: | AI large models, represented by ChatGPT, have driven a rapid growth in intelligent computing power demand. Telecom operators and cloud service providers are increasingly expanding their intelligent computing center layouts. The future trends of large models and the scale of their computing power demand are of great importance for the layout and construction of intelligent computing centers. Starting from the consumption characteristics of computing power by AI large models, the key influencing factors of computing power consumption were analyzed. Based on multi-level models with different parameter scales and industry types, the intelligent computing power demand of AI large models was systematically analyzed , providing clear business inputs and support for the construction of intelligent computing centers. |
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| ISSN: | 1000-0801 |