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GB/T 42018-2022 English PDF

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GB/T 42018-2022: Information technology - Artificial intelligence - Platform computing resource specification
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PDF similar to GB/T 42018-2022


Standard similar to GB/T 42018-2022

GB/T 42442.1   GB/T 42451   GB/T 42408   GB/T 45346   GB/T 17554.1   

Basic data

Standard ID GB/T 42018-2022 (GB/T42018-2022)
Description (Translated English) Information technology - Artificial intelligence - Platform computing resource specification
Sector / Industry National Standard (Recommended)
Classification of Chinese Standard L70
Classification of International Standard 35.240
Word Count Estimation 26,21
Date of Issue 2022-10-14
Date of Implementation 2023-05-01
Issuing agency(ies) State Administration for Market Regulation, China National Standardization Administration

GB/T 42018-2022: Information technology - Artificial intelligence - Platform computing resource specification


---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.
Information technology -- Artificial intelligence -- Platform computing resource specification ICS 35.240 CCSL70 National Standards of People's Republic of China information technology artificial intelligence Platform Computing Resource Specification Published on 2022-10-12 2023-05-01 Implementation State Administration for Market Regulation Released by the National Standardization Administration directory Preface III Introduction IV 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 4 Abbreviations 3 5 Overview 4 6 Technical requirements5 6.1 Physical Computing Resources 5 6.2 Virtual Computing Resources 8 7 Test method 9 7.1 General Features 9 7.2 Physical Computing Resources 9 7.3 Virtual Computing Resources 12 Appendix A (Informative) Correspondence between test methods and technical requirements for physical computing resources of artificial intelligence platforms 13 Appendix B (Informative) Configuration of Physical Computing Resource Test System 17 Appendix C (normative) training and inference testing models 20 Reference 21

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 of Standardization Documents" drafted. Please note that some content of this document may be patented. The publisher of this article does not assume responsibility for identifying patents. This document is proposed and managed by the National Information Technology Standardization Technical Committee (SAC/TC28). This document was drafted by. China Electronics Standardization Institute, Huawei Technologies Co., Ltd., Shanghai Yitu Network Technology Co., Ltd., Hangzhou State Hikvision Digital Technology Co., Ltd., Northwestern Polytechnical University, Inspur Software Technology Co., Ltd., National University of Defense Technology, Shanghai Shangtangqian Oath Technology Co., Ltd., Beijing Zhixin Microelectronics Technology Co., Ltd., Beijing Telecom Planning and Design Institute Co., Ltd., Mitsubishi Electric (China) Co., Ltd. Company, Qingdao Haier Washing Machine Co., Ltd., Intel (China) Co., Ltd., Feiteng Information Technology Co., Ltd., CRRC Shenyang Locomotive and Rolling Stock Co., Ltd. Co., Ltd., Hangzhou Zhongao Technology Co., Ltd., Ping An Technology (Shenzhen) Co., Ltd., Beijing Qingneng Internet Technology Co., Ltd. The main drafters of this document. Dong Jian, Zhang Qi, Bao Wei, Cao Xiaoqi, Li Binbin, Zhao Chunhao, Zhou Zhiqiang, Fu Haifang, Yang Gang, Yao Yuan, Wang Gongming, Xu Yang, Yang Shaowu, Shi Dianxi, Wu Geng, Liu Yong, Bi Shengnan, Fan Kefeng, Ma Shanshan, Hao Shouqin, Ma Chenghao, Ding Xiaopeng, Sun Ning, Wang Haining, Xia Lei, Gu Xiaocong, Yin Shijun, Song Wenlin, Lu Yun, Jia Yijun, Li Bing, Yang Yuze, Zhao Jiang, Wang Yang, Jiang Yi.

Introduction

An artificial intelligence platform is a software and hardware system that provides various resources for artificial intelligence applications. perception, natural language processing, sound processing, etc.) implementation. When forming an artificial intelligence platform, it is necessary to use artificial intelligence physical computing resources and virtual Proposed computing resources. Physical computing resources refer to the entity of computing equipment, including artificial intelligence servers, artificial intelligence accelerator cards, and artificial intelligence acceleration cards. modules, etc. Virtual computing resources are based on physical computing resources, after abstracting and shielding heterogeneity to a certain extent, the logical computing resources formed. count resources. The purpose of this document is to provide a standard basis for the construction of artificial intelligence platforms, and to provide a standard basis for the construction of artificial intelligence platforms. It proposes basic common requirements for related technical parameters with virtual computing resources, and proposes testing methods for physical computing resources. information technology artificial intelligence Platform Computing Resource Specification

1 Scope

This document specifies the physical computing resources of the artificial intelligence platform for machine learning (including artificial intelligence servers, artificial intelligence acceleration Cards, artificial intelligence acceleration modules) and technical requirements for virtual computing resources, describe the testing methods of physical computing resources. This document does not source management and scheduling requirements. This document applies to the design and testing of AI platforms for machine learning.

2 Normative references

The contents of the following documents constitute essential provisions of this document through normative references in the text. Among them, dated citations documents, only the version corresponding to that date applies to this document; for undated references, the latest edition (including all amendments) applies to this document. GB/T 9813.3-2017 General Specification for Computer Part 3.Server GB/T 17235.1-1998 Digital compression and coding of continuous tone still images for information technology - Part 1.Requirements and guidelines GB/T 20090.2-2013 Information Technology Advanced Audio and Video Coding Part 2.Video GB/T 41867-2022 Information Technology Artificial Intelligence Terminology ISO /IEC 15948.2004 Information Technology Computer Graphics and Image Processing Portable Network Graphics. Functional Specification [Informa- services)

3 Terms and Definitions

The terms and definitions defined in GB/T 41867-2022 and the following apply to this document. 3.1 Software and hardware systems that provide various resources for artificial intelligence applications. 3.2 In an artificial intelligence platform, the hardware and software used to process artificial intelligence computing tasks. Note. AI platform computing resources include physical computing resources and virtual computing resources. [Source. ISO /IEC 30145.3-2020, 3.1.6, with modifications]

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