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Central State-Owned Enterprise AI Server

Central SOEs in China are actively deploying AI servers and intelligent computing infrastructure to drive industrial transformation, large model development, and AI-enabled applications across key sectors.

Overview of A

I Server Deployment in Central SOEsCentrally-administered SOEs in China are increasingly integrating high-performance AI servers to support large-scale AI workloads, including model training, real-time inference, and scenario-specific applications.

These A

I servers provide specialized hardware environments with compute accelerators, high-bandwidth memory, storage, and interconnects, enabling massive parallel processing required for AI tasks, which differs from conventional general-purpose servers designed for diverse workloads.

Strategic Initiatives and Infrastructure

The State-owned Assets Supervision and Administration Commission (SASAC) has guided central SOEs to accelerate AI development through coordinated strategies, including: Intelligent Computing Centers: Establishing platforms for scheduling and operating computing power to serve both large enterprises and small-to-medium-sized enterprises.

High-

Quality Datasets: Developing standardized datasets for key industries to enhance AI model training and application. Large Model Capabilities: Improving foundational AI models and evaluation systems to support industrial applications and innovation. Application Demonstrations: Creating benchmarks for AI deployment in high-value scenarios, fostering collaboration between supply and demand sides.

Examples of Central SOE AI Initiatives

China United Network Communications Group Co. established an AI innovation center in Beijing, focusing on AI research and multimodal applications.

SDI

C Intelligence Co., a subsidiary of State Development and Investment Group, is launching AI products with multimodal capabilities tailored to market demand.

Industrial and Economic Impact

The deployment of AI servers by central SOEs is expected to: Accelerate industrial renewal across sectors such as manufacturing, energy, transportation, and services. Enhance national competitiveness by consolidating resources in strategic areas and fostering cross-SOE collaboration. Support high-quality economic development through AI-driven efficiency, innovation, and ecosystem cultivation.

Investment and R&DCentral SOEs have significantly increased investments in AI and strategic emerging industries, with R&D expenditure reaching 1. 1 trillion yuan in 2023 and total investments in new energy, materials, infrastructure, and biotechnology at 2. 18 trillion yuan, reflecting a 32% year-on-year increase.

These investments underpin the expansion of AI server infrastructure and the development of AI-enabled industrial solutions. ConclusionChina's central SOEs are leveraging AI servers and intelligent computing platforms as a core component of their industrial strategy. By combining high-performance computing, large-scale datasets, and advanced AI models, these enterprises aim to transform industries, enhance competitiveness, and establish a robust AI ecosystem that supports both national priorities and enterprise-level innovation.

Central State-Owned Enterprise AI Server

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Technical note

This reference is intended for preliminary fiber and communications infrastructure research. Optical interface, fiber type, port or core capacity, electrical input and output, enclosure protection, cooling, installation limits and applicable standards must be verified for the specific project.

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