标准解读
《GB/T 45401.1-2025 人工智能 计算设备调度与协同 第1部分:虚拟化与调度》是一项国家标准,旨在规范人工智能领域内计算资源的虚拟化及调度机制。该标准适用于需要高效利用计算资源的各种场景,特别是对于那些依赖于大规模数据处理和复杂算法执行的人工智能应用来说尤为重要。
在虚拟化方面,标准详细描述了如何通过软件定义的方式来创建、管理和优化虚拟计算环境。这包括但不限于虚拟机(VM)技术的应用、容器技术的选择以及这些技术之间的相互配合使用策略。目的是为了能够在不同硬件平台上实现更加灵活且高效的资源配置,同时保证服务质量和安全性。
针对调度机制,《GB/T 45401.1-2025》提出了基于优先级、负载均衡等因素来自动分配任务给最合适的计算节点的方法论。它还讨论了动态调整策略,以应对不断变化的工作负载需求,确保整个系统的稳定运行和服务水平协议(SLA)的有效履行。此外,该文件也强调了对异构计算资源的支持,比如CPU、GPU等不同类型处理器之间的协同工作模式,从而进一步提升整体性能。
如需获取更多详尽信息,请直接参考下方经官方授权发布的权威标准文档。
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- 2025-02-28 颁布
- 2025-02-28 实施





文档简介
ICS35.020
CCSL70
中华人民共和国国家标准
GB/T45401.1—2025
人工智能计算设备调度与协同
第1部分:虚拟化与调度
Artificialintelligence—Schedulingandcooperationforcomputingdevices—
Part1:Virtualizationandscheduling
2025⁃02⁃28发布2025⁃02⁃28实施
国家市场监督管理总局
国家标准化管理委员会发布
GB/T45401.1—2025
目次
前言··························································································································Ⅲ
引言··························································································································Ⅳ
1范围·······················································································································1
2规范性引用文件········································································································1
3术语和定义··············································································································1
4缩略语····················································································································3
5概述·······················································································································3
6计算设备虚拟化技术要求····························································································4
6.1概述·················································································································4
6.2基本要求···········································································································4
6.3扩展要求···········································································································7
7计算资源调度技术要求·····························································································10
7.1概述················································································································10
7.2功能要求··········································································································11
7.3性能优化要求····································································································12
7.4调度策略要求····································································································12
7.5接口要求··········································································································12
8运维监控技术要求···································································································13
8.1AI加速卡监控···································································································13
8.2计算实例监控····································································································14
8.3AI任务监控······································································································14
8.4日志监控··········································································································15
9测试方法···············································································································16
9.1虚拟化测试·······································································································16
9.2调度测试··········································································································19
附录A(资料性)典型处理器的虚拟化参考架构·································································22
A.1NPU虚拟化参考架构·························································································22
A.2CPU虚拟化参考架构·························································································23
参考文献····················································································································25
Ⅰ
GB/T45401.1—2025
前言
本文件按照GB/T1.1—2020《标准化工作导则第1部分:标准化文件的结构和起草规则》的规
定起草。
本文件是GB/T45401《人工智能计算设备调度与协同》的第1部分。GB/T45401已经发布了
以下部分:
——第1部分:虚拟化与调度;
——第2部分:分布式计算框架。
请注意本文件的某些内容可能涉及专利。本文件的发布机构不承担识别专利的责任。
本文件由全国信息技术标准化技术委员会(SAC/TC28)提出并归口。
本文件起草单位:中国电子技术标准化研究院、华为技术有限公司、北京航空航天大学、中国科学
院软件研究所、华为云计算技术有限公司、阿里云计算有限公司、北京百度网讯科技有限公司、浪潮电
子信息产业股份有限公司、上海商汤智能科技有限公司、北京大学武汉人工智能研究院、上海市人工智
能行业协会、中国移动通信集团有限公司、中国科学院计算技术研究所、科大讯飞股份有限公司、北京
大学、深圳云天励飞技术股份有限公司、上海天数智芯半导体有限公司、北京壁仞科技开发有限公司、
杭州海康威视数字技术股份有限公司、南方电网人工智能科技有限公司、龙芯中科技术股份有限公司、
苏州登临科技有限公司、浙江大华技术股份有限公司、蚂蚁科技集团股份有限公司、国科础石(重庆)软
件有限公司、中国南方电网有限责任公司、广电运通集团股份有限公司、上海计算机软件技术开发中
心、上海文鳐信息科技有限公司、京东方科技集团股份有限公司、天津(滨海)人工智能创新中心。
本文件主要起草人:范科峰、杨雨泽、李斌斌、于超、徐洋、王莞尔、曹晓琦、董建、鲍薇、栾钟治、朱毅鑫、
董乾、孟令中、郑子木、吴涛、田晓利、张亚强、马珊珊、马骋昊、赵春昊、吴庚、曹汐、王煜炜、吴婷、杨超、
王志芳、余雪松、丁瑞全、叶挺群、卢志良、马莞悦、代君、孔维生、郭智慧、罗勇军、梁志宏、巫伟南、杨波、
陈敏刚、牛科科、仲凯韬、姜幸群、史殿习。
Ⅲ
GB/T45401.1—2025
引言
随着人工智能计算形态的不断发展,承载人工智能应用的计算设备的部署和使用呈现分布式、全
场景的趋势。同一人工智能计算任务往往需要多种形态的计算设备协作完成,为不同地域、类型的用
户提供服务。需要对不同形态的计算设备资源合理利用及分配,明确必要的技术架构、能力要求以及
接口等,为产品提供参考框架以及评价体系,缓解不同形态人工智能计算设备横向协同割裂的现状。
GB/T45401《人工智能计算设备调度与协同》拟由两个部分组成。
——第1部分:虚拟化与调度。旨在确立人工智能计算设备虚拟化与调度系统的架构,规定技术
要求及对应的测试方法。
——第2部分:分布式计算框架。旨在确立人工智能计算设备分布式计算的架构,规定功能和性
能技术要求,定义分布式计算协同接口。
Ⅳ
GB/T45401.1—2025
人工智能计算设备调度与协同
第1部分:虚拟化与调度
1范围
本文件给出了人工智能计算设备虚拟化与调度的架构,规定了技术要求,描述了测试方法。
本文件适用于人工智能计算设备虚拟化与调度的系统设计、研发和测试。
2规范性引用文件
下列文件中的内容通过文中的规范性引用而构成本文件必不可少的条款。其中,注日期的引用文
件,仅该日期对应的版本适用于本文件;不注日期的引用文件,其最新版本(包括所有的修改单)适用于
本文件。
GB/T41867信息技术人工智能术语
GB/T45087—2024人工智能服务器系统性能测试方法
3术语和定义
GB/T41867界定的以及下列术语和定义适用于本文件。
3.1
人工智能计算单元artificialintelligencecomputingunit
执行人工智能计算任务所必要的部件的最
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