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Basic data
| Standard ID | GB/T 45401.1-2025 (GB/T45401.1-2025) |
| Description (Translated English) | Artificial intelligence - Scheduling and cooperation for computing devices - Part 1: Virtualization and scheduling |
| Sector / Industry | National Standard (Recommended) |
| Classification of Chinese Standard | L70 |
| Classification of International Standard | 35.020 |
| Word Count Estimation | 30,311 |
| Date of Issue | 2025-02-28 |
| Date of Implementation | 2025-02-28 |
| Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration |
GB/T 45401.1-2025: Artificial intelligence - Scheduling and cooperation for computing devices - Part 1: Virtualization and scheduling
---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
GB/T 45401.1-2025 English version. Artificial intelligence - Scheduling and cooperation for computing devices - Part 1.Virtualization and scheduling
National Standard of the People's Republic of China
ICS 35.020CCS L 70
AI computing equipment scheduling and coordination
Part 1.Virtualization and Scheduling
Artificial intelligence-Scheduling and cooperation for computing devices-
Part 1：Virtualization and scheduling
2025-02-28 Release
2025-02-28 Implementation
State Administration for Market Regulation
The National Standardization Administration issued
Table of Contents
Preface...
Introduction...
1 Scope...
2 Normative referenced documents...
3 Terms and Definitions...
4 Abbreviations...
5 Overview...
A.2 CPU Virtualization Reference Architecture...
References...
Foreword
This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for standardization work Part 1.Structure and drafting rules for standardization documents"
Drafting is required.
This document is part 1 of GB/T 45401 “Scheduling and coordination of artificial intelligence computing devices”. GB/T 45401 has been published
The following parts.
--Part 1.Virtualization and Scheduling;
--Part 2.Distributed computing framework.
Please note that some of the contents of this document may involve patents. The issuing organization of this document does not assume the responsibility for identifying patents.
This document was proposed and coordinated by the National Technical Committee for Information Technology Standardization (SAC/TC 28).
This document was drafted by. China Electronics Standardization Institute, Huawei Technologies Co., Ltd., Beijing University of Aeronautics and Astronautics, Chinese Academy of Sciences
Software Research Institute of the Academy of Sciences, Huawei Cloud Computing Technology Co., Ltd., Alibaba Cloud Computing Co., Ltd., Beijing Baidu Netcom Technology Co., Ltd., Inspur Electronics
Information Industry Co., Ltd., Shanghai SenseTime Intelligent Technology Co., Ltd., Peking University Wuhan Artificial Intelligence Research Institute, Shanghai
Energy Industry Association, China Mobile Communications Group Co., Ltd., Institute of Computing Technology, Chinese Academy of Sciences, iFLYTEK Co., Ltd., Beijing
University, Shenzhen Yuntianlifei Technology Co., Ltd., Shanghai Tianshu Zhixin Semiconductor Co., Ltd., Beijing Biren Technology Development Co., Ltd.,
Hangzhou Hikvision Digital Technology Co., Ltd., China Southern Power Grid Artificial Intelligence Technology Co., Ltd., Loongson Technology Co., Ltd.,
Suzhou Denglin Technology Co., Ltd., Zhejiang Dahua Technology Co., Ltd., Ant Technology Group Co., Ltd., Guoke Chushi (Chongqing) Software
Software Co., Ltd., China Southern Power Grid Co., Ltd., China Broadcasting and Television Network Technology Group Co., Ltd., Shanghai Computer Software Technology Development Center
Center, Shanghai Wenyu Information Technology Co., Ltd., BOE Technology Group Co., Ltd., and Tianjin (Binhai) Artificial Intelligence Innovation Center.
The main drafters of this document are. Fan Kefeng, Yang Yuze, Li Binbin, Yu Chao, Xu Yang, Wang Waner, Cao Xiaoqi, Dong Jian, Bao Wei, Luan Zhongzhi, Zhu Yixin,
Dong Qian, Meng Lingzhong, Zheng Zimu, Wu Tao, Tian Xiaoli, Zhang Yaqiang, Ma Shanshan, Ma Chenghao, Zhao Chunhao, Wu Geng, Cao Xi, Wang Yuwei, Wu Ting, Yang Chao,
Wang Zhifang, Yu Xuesong, Ding Ruiquan, Ye Tingqun, Lu Zhiliang, Ma Wanyue, Dai Jun, Kong Weisheng, Guo Zhihui, Luo Yongjun, Liang Zhihong, Wu Weinan, Yang Bo,
Minggang Chen, Keke Niu, Kaitao Zhong, Xingqun Jiang, and Dianxi Shi.
Introduction
With the continuous development of AI computing, the deployment and use of computing devices that carry AI applications have become distributed and global.
The same AI computing task often requires the collaboration of multiple computing devices to complete, serving users in different regions and types.
It is necessary to rationally utilize and allocate computing equipment resources of different forms, clarify the necessary technical architecture, capability requirements and
Interfaces, etc., provide a reference framework and evaluation system for products, and alleviate the current situation of horizontal collaboration and fragmentation among different forms of artificial intelligence computing devices.
GB/T 45401 “Scheduling and coordination of artificial intelligence computing devices” is planned to consist of two parts.
--Part 1.Virtualization and Scheduling. Aims to establish the architecture of the virtualization and scheduling system for artificial intelligence computing devices and specify the technology
Requirements and corresponding test methods.
--Part 2.Distributed computing framework. Aims to establish the architecture of distributed computing for artificial intelligence computing devices, specify functions and performance
Energy technical requirements, define distributed computing collaborative interfaces.
AI computing equipment scheduling and coordination
Part 1.Virtualization and Scheduling
1 Scope
This document provides the architecture for virtualization and scheduling of artificial intelligence computing devices, specifies technical requirements, and describes testing methods.
This document is applicable to the system design, development, and testing of virtualization and scheduling of artificial intelligence computing devices.
2 Normative references
The contents of the following documents constitute the essential clauses of this document through normative references in this document.
For referenced documents without a date, only the version corresponding to that date applies to this document; for referenced documents without a date, the latest version (including all amendments) applies to
This document.
GB/T 41867 Information Technology Artificial Intelligence Terminology
GB/T 45087-2024 Artificial Intelligence Server System Performance Test Method
3 Terms and definitions
The terms and definitions defined in GB/T 41867 and the following apply to this document.
3.1
artificial intelligence computing unit
The minimum set of components necessary to perform artificial intelligence computing tasks.
Note. AI computing units are generally packaged in AI accelerators or acceleration cards.
3.2
artificial intelligence accelerating [processor] unit
artificial intelligence accelerating chip
An integrated circuit component with a computing microarchitecture that is adapted to artificial intelligence algorithms and can complete the computing and processing of artificial intelligence applications.
3.3
artificial intelligence accelerating card
An expansion acceleration device designed specifically for AI computing and compliant with the hardware interface of AI servers.
Note. AI accelerator cards are divided into AI training accelerator cards, AI reasoning accelerator cards, etc. according to applicable scenarios.
3.4
artificial intelligence computing instance
A virtualized object that performs artificial intelligence computing tasks.
3.5
Virtualization
Used to represent resource representations that are decoupled from the underlying physical resource.
[Source. ISO /IEC 17826.2022, 3.55]
3.6
[heterogeneous] resource pool
An abstract entity formed by a collection of artificial intelligence computing resources of different architectures.
...
