TEDA BIOMEDICAL (08189) announced that the company has recently entered into a strategic cooperation agreement in the AI medical health field with Shanghai Suihong Huachuang Technology Co., Ltd. (Suihong Huachuang), a subsidiary of A-share listed company Xiamen Hongxin Electronic Technology Group Co., Ltd. (stock code: 300657).

Both parties will leverage their respective resources, talent, and technological advantages to establish long-term strategic cooperation in areas including specialized operations and market promotion of AI medical health and data businesses, construction of intelligent computing centers and computing power provision in the medical health sector, and supporting comprehensive solutions for multi-heterogeneous computing hardware.

Currently, the Group is actively advancing the research and development as well as commercial implementation of AI medical large model business and related data services. High-quality computing resources, stable hardware solutions, and extensive market promotion channels are key elements supporting the efficient development of these businesses. To ensure continuous and steady progress, the company will actively engage in resource integration and cooperation negotiations around these key areas, providing solid support for long-term business development.

The Board of Directors believes that by signing the strategic cooperation agreement with Suihong Huachuang, both parties can achieve complementary advantages in resources and technology. Firstly, leveraging Suihong Huachuang's government partnerships and mature sales channels accumulated in intelligent computing center construction and computing server manufacturing, the company can obtain direct and strong support for market promotion of AI medical large models and related data businesses, facilitating rapid access to target markets. Secondly, utilizing Suihong Huachuang's core technical capabilities in AI computing infrastructure construction, intelligent computing center operations, and hardware manufacturing, the company can secure stable and efficient computing power guarantee and cost-effective hardware supporting solutions for training optimization and practical application scenarios of AI medical large models, effectively reducing business development costs and accelerating the transformation and implementation of related technological achievements into commercial applications.