Investment Rating - The report assigns a "Buy" rating for the company, marking its first coverage [1]. Core Insights - The company is positioned as a leader in AI and big data infrastructure software in China, with a strategic shift from being a digital infrastructure provider to an AI infrastructure enterprise [8][13]. - The emergence of GPU-native databases is driven by the need for new storage architectures that cater to AI inference demands, which require high concurrency and low-latency data access [8][47]. - The company has been recognized as a leader in the generative AI data infrastructure sector by IDC, highlighting its strong market position and technological advancements [8][65]. Summary by Sections 1. Company Overview - The company operates in three business lines: AI and big data foundational software, solutions, and other services, serving over 1,600 end users across various industries [8][13]. - The company has a strong customer base in finance and digital government sectors, with significant growth in orders from these areas [8][29]. 2. Financial Performance - For 2023, the company reported total revenue of 490.81 million yuan, with a year-on-year growth of 31.72%. However, it is projected to face a decline in 2024 with revenues of 371.49 million yuan, a decrease of 24.31% [1]. - The net profit attributable to shareholders is expected to improve from a loss of 343.46 million yuan in 2024 to a loss of 212.61 million yuan in 2025, indicating a narrowing of losses [1][29]. 3. Technological Advancements - The report emphasizes the transition from CPU-centric architectures to GPU-centric architectures, which is essential for meeting the demands of AI inference workloads [8][47][56]. - The company has developed GPU-native database products, positioning itself to capitalize on the growing market for AI-driven data solutions [8][60]. 4. Market Position and Future Outlook - The company is actively pursuing international expansion, with plans for a dual listing in Hong Kong to enhance its market presence [8][65]. - Revenue forecasts for 2025, 2026, and 2027 are projected at 4.26 billion yuan, 4.88 billion yuan, and 5.83 billion yuan respectively, reflecting a positive growth trajectory [1][8].

Investment Rating - The report maintains an "Overweight" rating for the computer industry [1] Core Insights - The emergence of AI inference necessitates a new storage architecture centered around GPU directly connected to SSD, which will replace the CPU-dominated era [9][14] - The shift from CPU-centric to GPU-centric architecture will drive significant changes in database software design, optimizing for GPU's data processing capabilities [18][19] - The industry is witnessing accelerated advancements in both hardware and software, with notable collaborations and innovations aimed at enhancing performance for AI workloads [22][24] Summary by Sections AI Inference Era and New Storage Architecture - AI inference requires different I/O demands compared to training, with a focus on small data blocks and high concurrency, leading to the need for a new storage architecture [9][10] - The traditional CPU-centric data loading architecture is becoming a bottleneck for AI workloads, necessitating a shift to GPU as the primary controller for data access [11][14] Changes in Database Architecture - The transition to GPU-centric architecture will require a complete redesign of database software, with GPU taking on the role of the main computing unit [18][19] - Key components such as storage engines and query execution engines will need to be restructured to optimize for GPU capabilities and direct SSD connections [19][21] Industry Progress - Hardware advancements include the development of High Bandwidth Flash (HBF) technology, which is expected to play a crucial role in the future of AI storage solutions [22] - Collaborations between companies like SanDisk and SK Hynix aim to standardize HBF technology, with initial products expected by 2027 [22] - Software improvements are being made to enhance data orchestration and performance, such as Hammerspace's advancements in metadata reading and Cloudian HyperStore's object storage capabilities [24] Investment Recommendations - The report suggests that as AI inference grows, the importance of GPU will increase, leading to new opportunities in the database industry as software architectures adapt to these changes [25][26]