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未来智造局|天数智芯登陆港交所 国产通用GPU筑牢算力根基
Xin Hua Cai Jing· 2026-01-08 07:05
Core Insights - Shanghai Tensu Zhixin Semiconductor Co., Ltd. officially listed on the Hong Kong Stock Exchange, marking a significant milestone for domestic GPU enterprises and highlighting the importance of the domestic general GPU sector in China's computing power strategy [2][5] - The company has experienced rapid growth, with revenue projected to increase from 189 million yuan in 2022 to 540 million yuan in 2024, reflecting a compound annual growth rate of 68.8% [5] - The domestic general GPU market is undergoing structural changes, with market share expected to rise from 8.3% in 2022 to 17.4% in 2024, and potentially exceeding 50% by 2029 [7] Company Overview - Tensu Zhixin was established in 2015 and began designing general GPUs in 2018, launching China's first GPU product, Tianwei Gen1, in 2021 [3][8] - The company offers a range of products, including training GPUs (Tianwei series) and inference GPUs (Zhikai series), and has achieved significant milestones in GPU development [3][8] Financial Performance - The company raised 3.7 billion HKD through its IPO, with a total of 25.43 million shares issued, and received substantial interest from investors, evidenced by a 414.24 times oversubscription in the public offering [6] - On its first trading day, the stock opened at 190.2 HKD, reflecting a 31.54% increase, indicating strong market confidence in the company's value [7] Market Position and Strategy - The company has established a comprehensive ecosystem for general GPUs, achieving full control over the entire chain from chip architecture to AI framework adaptation [9][11] - Tensu Zhixin has built a research and development team of over 480 members, with significant experience in semiconductor design, enhancing its competitive edge in the industry [9][11] Application and Industry Impact - The company's products have been deployed in over 900 applications across various industries, including finance, healthcare, smart cities, and education, providing essential computing power for AI transformation [12] - Recent collaborations with leading companies in AI and IoT aim to enhance the integration of general AI technologies into various sectors, facilitating digital transformation [12][13]