Core Viewpoint - The company has developed its own liquid cooling solutions to meet the high-power heat dissipation needs of clients, particularly in the cloud service sector, and is experiencing growth in its data cloud services and AI server business [1] Group 1: Product Development - The company has self-developed liquid cooling solutions, including micro-channel layered water cooling heads, for its testing equipment [1] - These developments are aimed at matching the technological iterations of client products [1] Group 2: Client Engagement - The company is actively responding to client needs and conducting testing and verification across multiple product lines [1] - There is a significant increase in orders from client G, which has doubled year-on-year [1] Group 3: Business Growth - The company's data cloud services and AI server business continue to show growth [1] - The company anticipates rapid growth in orders from client N for the entire year [1] - The company maintains growth among North American cloud service providers [1]

Core Viewpoint - Financial services institutions are increasingly recognizing the diverse application value of migrating pricing and reference data to the cloud, which includes modeling, process automation, and AI-driven innovation projects [2][4]. Group 1: Cloud Migration Benefits - The DataScope Warehouse enables enterprises to quickly and conveniently access necessary pricing and reference data in the cloud, enhancing efficiency across the trading lifecycle [4][5]. - A recent global survey by LSEG revealed that 47% of respondents are already using market and pricing data in the cloud, while 38% are utilizing cloud-based reference data, indicating that cloud data is becoming a core driver of fintech transformation and business agility [2][4]. Group 2: DataScope Warehouse Features - DataScope Warehouse was officially launched in September 2024, allowing enterprises to access LSEG's complete pricing and reference data globally, with new customers able to connect within 24 hours, significantly speeding up deployment compared to traditional on-premises solutions [5][6]. - The platform is continuously optimized, with new features, cloud distribution interfaces, and additional datasets set to be released over the next 18 months [4][8]. Group 3: Cost Efficiency and Management - DataScope Warehouse significantly reduces total ownership costs by providing a solution that allows enterprises to efficiently maintain and manage their data needs [6][7]. - The service is natively deployed on Snowflake and Google Big Query platforms, facilitating rapid and secure data sharing across various jurisdictions, thus enhancing global operations and data management efficiency [7]. Group 4: Future Developments - Upcoming features for DataScope Warehouse include "Change Tracking," which will help enterprises manage data deployment and governance more effectively by notifying users of data changes [8]. - Additional content, including corporate actions data, will be introduced in the coming months to support financial institutions' evolving business needs [9].