Inaugural Plenary Meeting of GCC AI Cloud Operating System Special Interest Group Successfully Convened
author： AI Cloud Operating System Special Interest Group
On Wednesday, June 4, 2025, the first plenary meeting of the Global Computing Consortium (GCC) AI Cloud Operating System Special Interest Group(AI CloudOS SIG) was successfully held in Beijing, marking the official establishment of the SIG. More than 20 representatives from institutions including the China Academy of Information and Communications Technology (CAICT), China Telecom Group, Huawei Cloud Computing Technology Co., Ltd., Computer Network Information Center of the Chinese Academy of Sciences, China Mobile (Suzhou) Software Technology Co., Ltd., Moore Threads Intelligent Technology (Beijing) Co., Ltd., China Tower Co., Ltd., and Kirin Software Co., Ltd. gathered to witness this milestone event.
Key Documents Adopted; First Management Committee Elected
The conference first deliberated and adopted the GCC AI Cloud OS SIG First Plenary Meeting Plan and the GCC AI Cloud OS SIG Working Regulations, laying a foundation for the standardized and institutionalized operation of the SIG.
Subsequently, the meeting successfully elected the first Management Committee:
Chairperson (first rotating term): Li Wei, Deputy Director of the Cloud Computing and Big Data Research Institute at CAICT
Rotating Chairpersons:
Chen Jingxiang, Deputy General Manager of the Science and Technology Innovation Department at China Telecom Group
Li Jingjing, Researcher at the Computer Network Information Center of the Chinese Academy of Sciences
Chen Longfei, Deputy Director of the Huawei Cloud Service Product Department at Huawei Cloud Computing Technology Co., Ltd.
Executive CouncilMembers:
Li Ce, Director of Public Affairs at Moore Threads Intelligent Technology (Beijing) Co., Ltd.
Yan Yaqi, Director of the Computing Power Network Office at the Communication Technology Research Institute of China Tower Co., Ltd.
After the voting and election, Mr. Miao Fuyou, CTO of the Global Computing Consortium, awarded the plaque to the AI Cloud OSSIG, symbolizing its official launch. The committee will commit to providing comprehensive AI cloud operating system capabilities.
Organizational Structure and Business Framework Unveiled to Drive Orderly Development
Director Li Wei comprehensively introduced and interpreted the organizational structure of the AI Cloud OS SIG, the Management Committee, and the committee's business framework.
In terms of organizational structure, the AI Cloud OS SIG consists of the Management Committee, Secretariat, and working groups. The Management Committee serves as the decision-making core, leading the committee's business and management decisions.
The AI cloud operating system business framework comprises four layers:
Application Platform Layer: Integrates model marketplaces to provide model usage, deployment, fine-tuning, and intelligent agent development functions.
Orchestration and Scheduling Engine: Creates a unified northbound interface to manage APIs and support model orchestration and scheduling.
Inference and Training Engine: Focuses on VLLM-based optimization, heterogeneous collaborative inference acceleration, multimodal inference acceleration, and training mechanism optimization.
Resource Management Engine: Focuses on heterogeneous resource management and adaptation. These four layers collaborate to drive the rapid development of AI cloud operating systems.
Seven Working Groups Established with Clear Responsibilities and Plans
The Management Committee approved the establishment of seven working groups, each with the following mandates:
Academic Working Group: Introduced by Director Jin Zhong of the High-Performance Computing and Application Development Department at the Computer Network Information Center of the Chinese Academy of Sciences, this group is responsible for academic research, technical development, application implementation, and organizing academic exchanges. The committee unanimously approved its establishment, with Director Jin Zhong appointed as the group leader.
Application Platform Working Group: Proposed by Jia Leiping, a product expert from Telecom Tianyi Cloud Morle Community, the group aims to build a "zero-threshold innovation laboratory," an open collaborative AI application ecosystem hub, and a core engine for industrial intelligent transformation. The committee unanimously approved its establishment, with Deputy General Manager Zhang Anfa of the Tianyi Cloud Intelligent Computing Platform Department appointed as the group leader.
Orchestration and Scheduling Engine Working Group: Introduced by Min Qi, a scheduling technology architect from Huawei Cloud Container Platform, the group focuses on optimizing AI scheduling capabilities and proposing solutions. The committee unanimously approved its establishment, with Min Qi appointed as the group leader.
Inference and Training Engine Working Group: Yang Jun, a senior architect from China Mobile Cloud at China Mobile (Suzhou) Software Technology Co., Ltd., stated the group aims to enhance domestic inference cost-effectiveness, focusing on high-performance inference engines to break through performance bottlenecks via key technologies like PD scheduling and expert load balancing. The committee unanimously approved its establishment, with Li Li, the chief architect of the large model project at China Mobile (Suzhou) Software Technology Co., Ltd., appointed as the group leader.
Resource Management Engine Working Group: An SRE expert engineer outlined plans for computing resource lifecycle management, integrated computing scheduling, computing market supply management, and computing operation and maintenance. The committee unanimously approved its establishment, with the SRE expert engineer appointed as the group leader.
Open Source Ecosystem Working Group: Guo Xue, Director of the Open Source and Software Security Department at CAICT's Cloud and Big Data Institute, stated the group aims to explore China's characteristic open-source model, gathering domestic and foreign hardware and software enterprises around AI operating system open-source projects. The committee unanimously approved its establishment, with Guo Xue appointed as the group leader.
Standardization Working Group: Wang Runyan, a senior business supervisor from CAICT's Cloud Computing Department, stated the group will focus on formulating and evaluating standards for trustworthy computing market assessment and AI cloud OS assessment to improve industry standards. The committee unanimously approved its establishment, with Deputy Director Liu Ruming of CAICT's Cloud Computing Department appointed as the group leader.
Summarizing Achievements and Envisioning Future Development
In her concluding remarks, Director Li Wei emphasized that the establishment of the AI Cloud OS SIG marks a significant milestone in the development of AI cloud operating systems, signifying closer collaboration among industry players to drive technological innovation and ecosystem construction. The adopted working regulations, elected Management Committee, and established working groups have outlined a clear organizational framework and implementation path for the committee's future work.
The committee adheres to the philosophy of open cooperation and welcomes more enterprises, research institutions, and industry experts in related fields to join, working together to promote the high-quality development of AI cloud operating systems.
