en.Wedoany.com Reported - Recently, China Zhejiang Communication Service Holding Group Co., Ltd. signed an AI strategic cooperation agreement with Alibaba Cloud. The two parties will collaborate in areas such as large model token operation, intelligent computing center construction, computing-power synergy, industry applications, and overseas market expansion, further integrating communication service capabilities, cloud computing platforms, and artificial intelligence technologies.
The core of this cooperation is not merely the introduction of AI products, but the formation of a collaborative system centered on "how to build computing power, how to use models, how to operate tokens, and how to deliver industry scenarios." Zhejiang Tongfu possesses capabilities in communication engineering construction, system integration, delivery services, and regional coverage, while Alibaba Cloud provides cloud platforms, large models, computing power resources, and AI technology stacks. By placing token services, cloud resource operations, intelligent computing center construction, and industry applications within the same framework, this signifies that AI cooperation is shifting from single-point model invocation to a combination of customer-oriented computing power resources, platform tools, application solutions, and delivery services.
Token operation is one of the key focuses of this cooperation. Tokens are important units of measurement when large models process text, code, and multimodal content, and they are gradually becoming the basic unit for AI service billing, resource scheduling, and usage management.
In enterprise application scenarios, what customers truly care about is not just model capabilities, but also invocation costs, response speed, concurrency capabilities, permission management, and business system integration. After Zhejiang Tongfu and Alibaba Cloud jointly operate large model token services and cloud resources, AI capabilities can be packaged into clearer service products, providing computing power and model usage portals for scenarios such as government and enterprise, communications, transportation, healthcare, urban services, green and low-carbon initiatives, and data security. For industry customers, this model is akin to "purchasing AI capabilities based on business needs," rather than separately procuring complex models, computing power, and operation and maintenance resources.
The construction of intelligent computing centers and computing-power synergy have also been included in the cooperation direction. AI computing clusters require continuous power supply, network connectivity, server deployment, liquid or air cooling systems, operation and maintenance monitoring, and energy consumption management. Simply adding more servers cannot solve long-term operational issues.
The value of computing-power synergy lies in planning computing load, power supply, green energy, energy consumption optimization, and data center operations together. If the two parties subsequently engage in joint research and solution implementation around new computing power technologies, they will need to address issues such as green electricity trading, green certificate certification, distributed energy access, data center energy efficiency, computing power scheduling, and cluster stability. For large model training, inference, and industry intelligent agent applications, computing power infrastructure is not just an IT system; it is also becoming a new type of infrastructure jointly supported by energy, communications, cloud platforms, and AI engineering delivery.
At the industry application level, the two parties plan to focus on areas such as healthcare, urban renewal, green and low-carbon initiatives, data security, and smart transportation. Zhejiang Tongfu's coverage system spanning provinces, cities, counties, and townships can provide localized delivery and operation and maintenance support for AI application deployment.
Overseas market expansion is also part of the agreement. The two parties will jointly promote the construction of overseas intelligent computing centers, the global deployment of large models, and overseas token operations, bringing cloud platforms, computing power services, and industry solutions to more markets. For communication service enterprises, overseas projects involve not only software sales but also network construction, data center resources, system integration, local compliance, engineering delivery, and subsequent operation and maintenance. The combination of Alibaba Cloud and Zhejiang Tongfu can form a more complete cooperation chain in AI infrastructure, industry applications, and overseas delivery.
This cooperation connects the engineering delivery capabilities of communication service providers with the AI technology stack of cloud vendors. Subsequent progress will mainly depend on whether intelligent computing center projects, token operation products, industry solutions, and overseas computing power collaborations can achieve practical implementation.
