Core Viewpoint - Shanghai Suiruan Technology Co., Ltd. has received acceptance for its IPO application on the Sci-Tech Innovation Board, aiming to raise 6 billion yuan, marking the first IPO acceptance in A-shares for 2026 [1][2]. Group 1: Company Overview - Suiruan Technology focuses on cloud AI chips, with core business covering three layers: chips and hardware, software and programming platforms, and computing cluster solutions [22][23]. - The company was founded in March 2018 by former AMD colleagues Zhao Lidong and Zhang Yalin [22]. Group 2: IPO Details - The IPO application was accepted on January 22, 2026, with the underwriting by CITIC Securities [2][3]. - The company plans to use the raised funds primarily for R&D projects, with a total of 6 billion yuan allocated to three main areas: 1.503 billion yuan for the fifth-generation AI chip series, 1.196 billion yuan for the sixth-generation AI chip series, and 3.3 billion yuan for advanced AI software and hardware collaborative innovation projects [5][6]. Group 3: Financial Performance - As of the first nine months of 2025, Suiruan Technology reported revenues exceeding 540 million yuan, with a significant increase from approximately 90 million yuan in 2022 to over 720 million yuan in 2024, reflecting a compound annual growth rate of 183.15% [8][10]. - The revenue structure has shifted, with AI acceleration cards and modules, as well as intelligent computing systems and clusters, becoming the main sources of income, accounting for over 50% in 2023 [10][11]. - Major clients include Tencent, which accounted for 57.28% of the revenue in the first nine months of 2025 [12][13]. Group 4: Profitability and Losses - Despite the revenue growth, the company is still in a loss-making phase, with a net loss of approximately 887.75 million yuan for the first nine months of 2025 and 1.51 billion yuan for 2024 [15][28]. - The company aims to reach breakeven by 2026 based on current orders, R&D plans, and product delivery schedules [17]. Group 5: Market Position and Competition - Suiruan Technology is part of the "Four Little Dragons" of domestic GPUs, alongside Moer Thread, Muxi Co., and Biran Technology, with each company focusing on different aspects of GPU technology [34][37]. - The domestic AI chip market is still in its early stages, with Nvidia currently holding a dominant position, but local manufacturers are gradually breaking through technological and scale barriers [30][32].

Core Viewpoint - Suiruan Technology's IPO application has been accepted, aiming to raise 6 billion yuan for the development and industrialization of its fifth and sixth generation AI chip series products, as well as advanced AI software and hardware collaborative innovation projects [1][2]. Group 1: Company Overview - Suiruan Technology was founded in March 2018 and has developed four generations of architecture and five cloud AI chips, establishing a complete product system including AI chips, AI acceleration cards, intelligent computing systems, and AI computing software platforms [1]. - The company has become a leading enterprise in China's cloud AI chip sector, with a comprehensive core technology system encompassing hardware, software, and computing cluster solutions [1]. Group 2: Technical Innovations - In hardware, Suiruan Technology has developed its own instruction set and original architecture, including the GCU-CARE acceleration computing unit and GCU-LARE high-speed interconnect technology, which supports high parallelism for AI large model acceleration [1]. - On the software platform side, the company has created a full-stack AI computing and programming software platform called "Yusuan TopsRider," which reduces programming development difficulty and migration costs for mainstream AI models based on its hardware [2]. Group 3: Revenue Generation - During the reporting period, Suiruan Technology's intelligent computing center projects have already generated revenue, and the company is collaborating with clients to develop super-node solutions and commercialize high-speed interconnect clusters [2].