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GB/T 46350-2025: Information technology - Cloud computing - General requirements of AI cloud service
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GB/T 46350-2025: Information technology - Cloud computing - General requirements of AI cloud service

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ICS 35.240.01 CCSL70 National Standards of the People's Republic of China General Requirements for Information Technology, Cloud Computing, and Intelligent Cloud Services AIcloudservice Published on 2025-10-05 Implemented on February 1, 2026 State Administration for Market Regulation The State Administration for Standardization issued a statement.

Table of Contents

Preface III 1.Scope 1 2 Normative References 1 3.Terms and Definitions 1 4.Abbreviations 1 5.Capability Framework 2 6.Infrastructure Requirements 3 6.1 Resources 3 6.2 Resource Management 4 6.3 Acceleration 5 6.4 Task Management and Scheduling 6 7.Model Development Requirements 6. 7.1 Data Processing 6 7.2 Model Building 8 7.3 Model Management 9 7.4 Model Deployment 11 7.5 Model Reasoning 11 7.6 Data Closed Loop 12 7.7 Large Model Hints Project 12 7.8 Large Model Instruction Tuning 12 7.9 MLOps Workflow 12 7.10 LMOps Workflow 13 8.Model service requirements 13 8.1 Computer Vision Category 13 8.2 Voice-related 13 8.3 Natural Language Processing Category 14 8.4 Multimodal Classes 14 9.Requirements for the Development of Artificial Intelligence Applications (14) 9.1 Development Environment 14 9.2 Application Development Framework 14 9.3 Application Component 14 9.4 Application Template 14 9.5 Knowledge Management 15 9.6 Application Management 15 References 16

Foreword

This document complies with the provisions of GB/T 1.1-2020 "Standardization Work Guidelines Part 1.Structure and Drafting Rules of Standardization Documents". Drafting. Please note that some content in this document may involve patents. The issuing organization of this document assumes no responsibility for identifying patents. This document was proposed and is under the jurisdiction of the National Information Technology Standardization Technical Committee (SAC/TC28). This document was drafted by. Beijing Baidu Netcom Technology Co., Ltd., China Electronics Technology Standardization Institute, and Huawei Cloud Computing Technology Co., Ltd. The company, Inspur Cloud Information Technology Co., Ltd., China Telecom Cloud Technology Co., Ltd., China Mobile (Suzhou) Software Technology Co., Ltd., and Guangzhou Pingao Software. Joint-stock company, National University of Defense Technology of the Chinese People's Liberation Army, Alibaba Cloud Computing Co., Ltd., Sangfor Technologies Inc., Beijing Hua... Shengtiancheng Technology Co., Ltd., ZTE Corporation, Jinan Inspur Data Technology Co., Ltd., and China Mobile Xiong'an Information and Communication Technology Co., Ltd. Technology Co., Ltd., China Mobile (Hangzhou) Information Technology Co., Ltd., Beijing Topsec Network Security Technology Co., Ltd., Hunan Qilin Security Technology Co., Ltd. Limited Liability Company, JD Technology Information Technology Co., Ltd., Shanghai SenseTime Intelligent Technology Co., Ltd., Inspur Electronic Information Industry Co., Ltd. Company, China Mobile Communications Corporation Research Institute, Beijing Yinxin Changyuan Technology Co., Ltd., Anchao Cloud Software Co., Ltd., China Tobacco Corporation The company's Hunan provincial branch, University of Electronic Science and Technology of China, Institute of Information Engineering, Chinese Academy of Sciences, Hangzhou Xieyun Technology Co., Ltd., and Ronglian Technology Group Co., Ltd. Limited Liability Company, Harbin Institute of Technology, Tsinghua University, Beijing Guoxin Network Technology Co., Ltd., Gansu Tongxing Intelligent Technology Development Co., Ltd. The company, China Aviation Supplies Navigation Technology (Beijing) Co., Ltd., Guangdong Yue Dian Information Technology Co., Ltd., Shenzhen Jurui Cloud Control Technology Co., Ltd. Guangdong Cheweishi Information Technology Co., Ltd., Shenzhen Yilianhuitong Technology Co., Ltd., Baode Computer Systems Co., Ltd., Beijing Da Daoyunxing Technology Co., Ltd., Beijing Houpu Pharmaceutical Technology Co., Ltd., Guangzhou Fu'an Digital Technology Co., Ltd., Shenzhen Wuxing Technology Co., Ltd. The company, Haitiandi Digital Technology (Beijing) Co., Ltd., Guilin University of Technology, Jiangxi Yunyan Vision Technology Co., Ltd., and Beijing Jinzhida Pipe Li Consulting Limited, Aokdopu Limited, Guangmai Technology Co., Ltd., Beijing Zhihuiyi Technology Co., Ltd., Sichuan Hantang Cloud Branch Distributed Storage Technology Co., Ltd., Suzhou Mingyi Think Tank Information Technology Co., Ltd., and Guangdong Bojin Information Technology Group Co., Ltd. The main drafters of this document are. Song Fei, Chen Xing, Jia Chao, Wang Zhipeng, Yang Liyun, Xuan Lingbo, Xie Yongkang, Liu Zengzhi, Zha Li, Zhao Hua, and Zhang Min. Zheng Jiajia, Yang Ming, Miao Zicong, Guo Yang, Xu Jun, Lin Dongyi, Huang Jicheng, Bao Han, Wang Yijie, Wu Tao, Zhu Song, Liu Chen, Wei Shengping, Liang Gang, Li Xiang Qi Kaiyuan, Zhang Kun, Yao Fei, Ning Su, Zhang Fenglei, Yu Han, Zhang Chaolu, Lei Xiaofeng, Yang Pengju, Deng Wangbo, Liu Chen, Han Dong, Wu Geng, Dai Wenbin Lu Lu, Ye Fenghua, Fan Yamei, Mao Huanqu, Ji Hande, Ju Wanli, Guo Xiao, Xu Gang, Zou Tun, Li Yiwen, Luo Guangchun, Chen Aiguo, Bian Pengxu Wang Aoyu, Wang Xiangdong, Wang Jing, Liu Qixu, Wu Xiaoqing, Tan Ru, Li Weize, Xu Guanqun, Qiao Lin, Chen Zhifeng, Wang Chengan, Wang Ruimin, Li Xing Yan Jihong, Huang Shuangxi, Yang Siwei, Gao Yu, Cao Jiannong, Zhan Yue, Sun Pei, Wang Linjun, Hu Zhouda, Lin Xitong, Guo Wenyi, Zeng Jian, Zhang Yunxia Liu Aigui, Zhang Fang, Liang Hua, Zhao Yayun, Dong Guangming, Liu Gang, Luo Jun, Wang Wendi, Xie Xiaolan, Tang Tao, Zhao Benjin, Wang Wei, Zhao Shufei, Guan Tao, Nie Kunlin, Wang Liang, Peng Li. General Requirements for Information Technology, Cloud Computing, and Intelligent Cloud Services 1.Scope This document establishes the framework for intelligent cloud service capabilities, specifying intelligent cloud service infrastructure, model development, model services, and artificial intelligence applications. Requirements such as development. This document is intended to guide the design, development, deployment, use, and evaluation of intelligent cloud services.

2 Normative references

The contents of the following documents, through normative references within the text, constitute essential provisions of this document. Dated citations are not included. For references to documents, only the version corresponding to that date applies to this document; for undated references, the latest version (including all amendments) applies. This document. GB/T 32400-2015 Information Technology - Overview and Glossary of Cloud Computing 3.Terms and Definitions The terms and definitions defined in GB/T 32400-2015 and the following terms and definitions apply to this document. 3.1 Cloud computing A model that uses a network to provision and manage scalable, elastic shared pools of physical and virtual resources in an on-demand, self-service manner. Note. Resources include servers, operating systems, networks, software, applications, and storage devices. [Source. GB/T 32400-2015, 3.2.5, with modifications] 3.2 cloud service One or more capabilities are provided through the interfaces defined in cloud computing (3.1). [Source. GB/T 32400-2015, 3.2.8] 3.3 AIcloudservice Cloud services that support or provide artificial intelligence capabilities. Note. Artificial intelligence capabilities refer to model development, model services, and artificial intelligence application development, etc. 4.Abbreviations The following abbreviations apply to this document. P2P. peer-to-peer 5.Capability Framework Intelligent cloud services provide users with AI computing power and artificial intelligence capabilities through cloud services, supporting AI applications and helping users... Users can efficiently, conveniently, and at low cost access and use artificial intelligence cloud services. The intelligent cloud service capability framework is shown in Figure 1, including infrastructure, model development... The intelligent cloud service provides capabilities such as development, model services, and artificial intelligence application development. It offers one or more combined capabilities, with the functions of each layer as follows. a) Infrastructure. Provides infrastructure functions for artificial intelligence, enabling the creation and management of AI computing power clusters, and the submission and invocation of [data/feedback/etc.]. Degree-based tasks, leveraging heterogeneous computing resources (including bare metal, virtual machines, containers, etc.) based on acceleration libraries, support artificial intelligence workloads. run; b) Model Development. Provides a model development toolchain, including data processing, model building, model management, model deployment, model inference, and data processing. It develops general functions based on closed-loop models, as well as large-scale model development functions such as prompting engineering and instruction optimization, and MLOps and LMOps. Workflow supports the training, optimization, management, and deployment of AI models in the cloud; c) Model Services. Provides cloud service functions for various models, including computer vision, speech, natural language processing, and multimodal models. Classes, etc., to allow users to use pre-trained models in the cloud; d) Artificial Intelligence Application Development. Provides an AI application development toolchain, including development environment, application development framework, application components, and applications. Templates, knowledge management, application management, etc., lower the barrier to entry for AI application development, improve the efficiency of AI application development, and support... Users apply artificial intelligence technology in specific business scenarios. ...