Challenge and design of computing power network for new AIGC computing services

doi:10.12267/j.issn.2096-5931.2023.06.002

Abstract

Abstract:

New computing services such as Artificial Intelligence-Generated Content (AIGC) are booming. The development of computing power network also presents new trends and characteristics to meet the needs of new business development. This paper focuses on the challenge and design of computing power network for new AIGC computing services. Firstly, the necessity of introducing the computing network for AIGC services is introduced, and the significance and value of the combination is introduced. Secondly, a new computing power network architecture bearing AIGC services is designed. Finally, the current development trend and challenges are analyzed, which points out the direction for the follow-up research work.

Key words: computing power network, AIGC, computing and network convergence

CLC Number:

TP30

HUANG Xiaojie, SONG Wenxuan, ZHANG Hengsheng, XU Fangmin, ZHAO Chenglin. Challenge and design of computing power network for new AIGC computing services[J]. Information and Communications Technology and Policy, 2023, 49(6): 10-16.

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URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2023.06.002

http://ictp.caict.ac.cn/EN/Y2023/V49/I6/10

Figures/Tables 4

References 11

[1]	中国移动通信研究院. 面向AI大模型的智算中心网络演进白皮书[R], 2023.
[2]	祝智庭, 戴岭, 胡姣. 高意识生成式学习:AIGC技术赋能的学习范式创新[J]. 电化教育研究, 2023, 44(6):5-14.
[3]	VASWANI A, SHAZEER N, PARMAR N, et al. Attention is all you need[C]//Advances in neural information processing systems. NIPS, 2017: 5998-6008.
[4]	ZHOU J, KE P, QIU X, et al. ChatGPT: potential, prospects, and limitations[J]. Frontiers of Information Technology & Electronic Engineering, 2023: 1-6.
[5]	HUANG H, ZHENG O, WANG D, et al. ChatGPT for shaping the future of dentistry: the potential of multi-modal large language model[J]. arXiv preprint arXiv:2304.03086, 2023.
[6]	LI L, WANG P, REN K, et al. Origin tracing and detecting of LLMs[J]. arXiv preprint arXiv:2304.14072, 2023.
[7]	WU J, GAN W, CHEN Z, et al. AI-generated content (AIGC): a survey[J]. arXiv preprint arXiv:2304.06632, 2023.
[8]	LEE L H, ZHOU P, ZHANG C, et al. What if we have MetaGPT? from content singularity to human-metaverse interaction in AIGC era[J]. arXiv preprint arXiv:2304.07521, 2023.
[9]	中国科学技术信息研究所. 人工智能计算中心发展白皮书2.0[R], 2021.
[10]	中国移动通信有限公司研究院. 面向智算的算力原生白皮书[R], 2022.
[11]	XU M, DU H, NIYATO D, et al. Unleashing the power of edge-cloud generative ai in mobile networks: a survey of aigc services[J]. arXiv preprint arXiv:2303. 16129, 2023.

模型	企业/机构	参数量(Billion)	应用
Midjourney V5	Midjourney	未公开	文生图
DALL-E	OpenAI	120	文生图
LLaMa	Meta AI	7~65	聊天机器人
GPT-3.5	OpenAI	175	聊天机器人
GPT-4	OpenAI	未公开	聊天机器人
Alpaca	Stanford	7~65	聊天机器人
Vicuna	UC、CMU、Stanford	13	聊天机器人
BERT	Google	3	聊天机器人
ChatGLM	清华大学	6	聊天机器人
文心一言	百度	2 600	聊天机器人

模型	企业/机构	参数量(Billion)	应用
Midjourney V5	Midjourney	未公开	文生图
DALL-E	OpenAI	120	文生图
LLaMa	Meta AI	7~65	聊天机器人
GPT-3.5	OpenAI	175	聊天机器人
GPT-4	OpenAI	未公开	聊天机器人
Alpaca	Stanford	7~65	聊天机器人
Vicuna	UC、CMU、Stanford	13	聊天机器人
BERT	Google	3	聊天机器人
ChatGLM	清华大学	6	聊天机器人
文心一言	百度	2 600	聊天机器人

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