Track Hyper | ChinaSoft United Silicon-based Flow Breakthrough in Digital Transformation

Author: Zhou Yuan / Wall Street News

"The one who uses a horse does not rely on its speed, but on its ability to travel a thousand miles; the one who uses a boat does not rely on its ability to navigate, but on its ability to cross rivers and lakes" (Xunzi, "Encouragement of Learning"). This saying aptly reflects the survival rules of enterprises in the current wave of digital intelligence.

Recently, the strategic cooperation between ChinaSoft International and Beijing Silicon-based Fluid Technology Co., Ltd. is not a coincidence in business marriage, but a choice based on industry pain points and technological evolution, marking the entry of enterprise digital transformation into a new stage of collaborative tackling.

Currently, global enterprises are trapped in the deep waters of digital transformation.

Traditional software service providers, while well-versed in industry business logic, have inherent shortcomings in underlying AI technology and computing power optimization; emerging AI technology companies, while holding cutting-edge algorithms and computing resources, lack deep understanding of industry scenarios and practical experience.

The cooperation between ChinaSoft International and Silicon-based Fluid is a precise breakthrough to this dilemma, providing a referenceable solution sample for the industry.

ChinaSoft International has been deeply engaged in the industry for over 20 years, accumulating experience from over 1,000 large projects covering finance, telecommunications, manufacturing, and more. Most of its financial clients are core systems of state-owned and joint-stock banks; Silicon-based Fluid focuses on AI computing power infrastructure construction and has achieved significant results in the field of domestic chip adaptation, with its developed inference acceleration engine greatly enhancing the operational efficiency of models on Ascend chips.

This cooperation between the two parties, based on the complementarity of the above advantages, is like a perfect dovetail, providing possibilities for solving the "last mile" problem of enterprise digital transformation.

Silicon-based Fluid was established in August 2023, with a unique positioning in the AI field, focusing on deepening the AI infrastructure layer in the era of large models.

Public information shows that Silicon-based Fluid specializes in the research and development of cloud neural networks and low-latency computing architectures, possessing technical capabilities in adapting to domestic chip ecosystems such as Ascend, enabling the optimization of AI models on domestic hardware.

In January 2024, Silicon-based Fluid announced the completion of a 50 million yuan angel round of financing, with investors including Innovation Works, Qiji Chuangtan, and Yaotu Capital; in July of the same year, Silicon-based Fluid completed another nearly 100 million yuan "angel +" round of financing, with the funds mainly used for "R&D and optimization of AI Infra technology" and cooperation with computing power providers, model manufacturers, and application vendors.

On February 1, 2025, Silicon-based Fluid and the Huawei Cloud team jointly launched the DeepSeek R1/V3 inference service based on Ascend cloud services.

Through its self-developed inference acceleration engine, this service supports deployed DeepSeek models to achieve performance comparable to globally high-end GPU deployed models, providing production-level service capabilities.

In April of the same year, Silicon-based Fluid announced a joint launch of the DeepSeek integrated machine with Kunlun Technology, which has certain advantages in performance, providing efficient AI solutions for enterprise users.

Management master Peter Drucker once said in "Management in Turbulent Times": "The greatest danger in turbulent times is not the turbulence itself, but to continue using the logic of the past." The four core platforms launched in this collaboration are not merely a simple stack of technologies, but rather a complete ecological chain built around the key aspects of enterprise digital transformation, covering the main needs of enterprises in their digital transformation journey from computing power support to application implementation.

These platforms focus on both the macro needs of enterprise digital transformation and the detailed issues in practical applications.

First is the high-performance AI platform for enterprises: this platform integrates artificial intelligence algorithms with computing power resources to help enterprises process and analyze large amounts of data. For example, in the financial industry, it can assist in investment decision-making and risk assessment by analyzing market data. Just like an experienced navigator relies on a star chart for navigation, enterprises can use this platform to find their development direction in a complex market environment.

Second is the model service platform, which provides various AI model resources and supports enterprises in customized development based on their business needs. Taking the e-commerce industry as an example, enterprises can develop product recommendation models based on the platform to optimize the user shopping experience. This is akin to tailoring a suit, creating exclusive AI "clothing" for the business needs of different enterprises, making it more aligned with actual operations.

Third, the knowledge management platform integrates and manages internal and external knowledge of the enterprise, facilitating employee retrieval and usage.

In the manufacturing industry, it can be used to store product design, production processes, and other materials, improving employees' efficiency in problem-solving, systematically integrating knowledge, and enabling employees to access and utilize knowledge more effectively, transforming it into a driving force for enterprise development.

Fourth, the intelligent application development platform allows enterprises to develop intelligent applications based on this platform, achieving business process automation.

In customer service scenarios, large e-commerce platforms receive hundreds of thousands or even millions of customer inquiries daily during promotional events such as "Double Eleven" and "618." The intelligent application development platform supports enterprises in developing intelligent customer service, which can understand customers' natural language inquiries and quickly and accurately answer questions about product information, logistics inquiries, after-sales policies, etc., by accessing information from the knowledge base.

When faced with complex issues, intelligent customer service can also transfer the problem to human customer service representatives and provide relevant background information, improving the efficiency of human customer service and alleviating the pressure on manual services, equipping enterprise business processes with efficient "intelligent assistants" to enhance operational efficiency.

To ensure the project's implementation, both parties have made clear divisions of labor: ChinaSoft International is responsible for overall project planning and coordination; Silicon Flow leverages its technical advantages to provide technical support for platform construction; at the same time, both parties will jointly provide customized development services for enterprises, adjusting solutions based on actual enterprise needs.

For both companies, this collaboration represents a new attempt at business expansion.

ChinaSoft International can supplement its AI technical capabilities, while Silicon Flow gains access to broader market channels.

From an industry perspective, this collaboration model between technology companies and service companies provides a reference for other enterprises' digital transformation, helping to promote the application of AI technology in more industries. This collaboration not only addresses the challenges of digital transformation for enterprises but also proposes a new collaborative approach, inspiring the industry to explore more possibilities The future cooperation between the two parties will focus on key areas such as energy, transportation, and education. In the energy sector, an AI-based intelligent grid scheduling system will be developed to achieve dynamic balance and efficient utilization of energy; in the transportation field, intelligent traffic solutions for vehicle-road collaboration will be explored to alleviate urban congestion; in the education sector, a personalized learning platform will be built to implement tailored teaching. These initiatives are not only an extension of technology but also a deep response to the demands of social development.

The collaboration between ChinaSoft International and Silicon-based Flow serves as a mirror, reflecting the exploration and breakthroughs of Chinese enterprises on the path of digital transformation.

The significance of this cooperation may lie not only in its current commercial value but also in providing a replicable and scalable transformation paradigm for the industry, guiding more enterprises to find their own direction in the wave of digital transformation.

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