Core Insights - Fudan University has established a strong growth momentum in its collaborative laboratories, planning to build 40 new labs by 2025 with a total contract amount exceeding 600 million yuan, doubling the scale compared to 2024 [3] - The focus on artificial intelligence has led to the establishment of 20 new labs in this field, representing half of the total new labs for the year [3] Group 1: Challenges and Opportunities in University-Industry Collaboration - The natural conflict in university-industry collaboration arises from differing goals: companies seek short-term results while universities focus on long-term theoretical breakthroughs [4] - Collaborative laboratories provide a solution by combining academic exploration with industrial resources, allowing for the validation of research and injecting new technological vitality into companies [5] Group 2: Successful Case Studies - Shanxi Jinbo's collaboration with Fudan University led to the development of HPV protein and human-derived collagen materials, achieving over 1 billion yuan in annual sales, demonstrating a successful technology-to-market transition [5] - The Fudan University Intelligent Robotics Research Institute has established eight collaborative labs with leading companies, creating a symbiotic relationship that enhances data accumulation for AI model development [6] Group 3: Innovative Collaboration Models - The collaborative labs are not limited to traditional product development but focus on future innovations, such as sustainable materials and advanced battery technologies [8] - The integration of diverse stakeholders, including government and private entities, into the collaborative framework enhances resource sharing and risk management [11] Group 4: Mechanisms for Enhancing Collaboration - A one-stop service model has been introduced to streamline project approval processes, significantly reducing the time required for project initiation [11] - A competitive distribution mechanism for doctoral programs prioritizes collaboration with external enterprises, fostering a dual flow of talent between academia and industry [11] - A comprehensive evaluation and incentive system encourages researchers to engage in practical applications, shifting the focus from theoretical research to technology commercialization [11]

证券日报网讯 1月14日，宝信软件在互动平台回答投资者提问时表示，截至目前，公司与日本东海特殊 钢金属株式会社无业务合作。 （文章来源：证券日报） ...

行业基本情况 证券研究报告：计算机|点评报告 发布时间：2026-01-14 行业投资评级 强于大市|维持 | 收盘点位 | | 6063.95 | | --- | --- | --- | | 52 | 周最高 | 6063.95 | | 52 | 周最低 | 3994.26 | 行业相对指数表现（相对值） -4% 2% 8% 14% 20% 26% 32% 38% 44% 50% 2025-01 2025-03 2025-06 2025-08 2025-10 2026-01 计算机 沪深300 资料来源：聚源，中邮证券研究所 研究所 分析师:陈涵泊 SAC 登记编号:S1340525080001 Email:chenhanbo@cnpsec.com 分析师:李佩京 SAC 登记编号:S1340525080003 Email:lipeijing@cnpsec.com 分析师:王思 SAC 登记编号:S1340525080002 Email:wangsi1@cnpsec.com 近期研究报告 《国产 AI 或将全面超越》 - 2026.01.12 政策吹响号角，AI 驱动工业软件迈向"智变"关 键期 ⚫ 政策加 ...

格隆汇1月14日丨宝信软件(600845.SH)在投资者互动平台表示，截至目前，公司与日本东海特殊钢金属 株式会社无业务合作。 ...

Investment Rating - The industry investment rating is positive, indicating an overweight outlook for the AIDC sector, suggesting it will outperform the overall market [8]. Core Insights - The AIDC industry is expected to experience significant breakthroughs in computing power, models, and applications in 2026, with domestic computing power transitioning from usable to highly effective [2]. - The demand from cloud vendors remains strong, with a notable increase in IDC orders expected to be fulfilled by mid-2026, indicating a robust growth trajectory for cloud computing infrastructure [2]. - The supply side faces challenges due to the scarcity of effective supply, as the government emphasizes orderly guidance and efficient construction of intelligent computing centers [2]. Summary by Sections Demand Side - Cloud vendors are expected to have high demand for IDC, with orders from Q1 2025 anticipated to be deployed by Q2-Q3 2026, necessitating significant capital investment [2]. - The new round of IDC bidding has commenced, with an accelerated delivery schedule expected [2]. Supply Side - The government is focusing on optimizing the layout of intelligent computing resources, which will create a balanced supply-demand situation in the long term [2]. - There is a noted expectation for supply of supporting equipment, such as UPS and HVDC systems, to meet the needs of AIDC construction [2]. Key Companies - Key players in the industry include leading IDC companies like Runze Technology and Dongyangguang, as well as emerging companies like Aofei Data and Guanghuan New Network [2]. - Companies providing essential supply and cooling solutions, such as Kehua Data and Zhongheng Electric, are also highlighted as important players [2].

26年1月10日下午，智谱创始人唐杰、千问技术负责人林俊旸、腾讯首席AI科学家姚顺雨等AI前沿工作 者AGI-Next前沿峰会上形成一定行业共识：在硬件支持、软硬件结合、Agent路径等多个维度上，国内 科技公司正在从全球AI技术的跟随者逐渐转变为推动者。 需求侧：云厂商需求高企 从必要性的角度看，25Q1前的IDC订单，预计到26Q2-Q3完成上架部署，而从下定到交付需要约6个月 缓冲期，这意味着云厂商25年底至26年初进行下一轮智算中心布局必要性很强，且节奏紧体量大。从实 际布局的情况看，海外算力与国产算力并行确定性高，预计将推动云厂商资本开支持续增长;新一轮IDC 招投标已启动，预计交付上架节奏显著加快。此外，云厂商有一定概率锁定更长时间维度内的优质区位 资产，以保障未来算力供给的可持续性。 申万宏源发布研报称，展望2026年，预计国内算力、模型、应用等多个层面均将有重大突破。算力侧， 除NV供应变化之外，国产算力预计从可用变为好用，并通过超节点方式实现更高密度算力集群组网。 模型侧，中美大模型差距在2025年逐步缩小，预计2026年追赶趋势将持续，并进一步达成性能与成本间 的更优平衡。应用侧，除25年 ...

Investment Rating - The industry investment rating is "Overweight," indicating a positive outlook for the IDC/Intelligent Computing Center sector [2]. Core Insights - The report highlights a consensus among AI industry leaders that domestic technology companies are transitioning from followers to leaders in global AI technology [2]. - Significant breakthroughs are expected in 2026 across multiple dimensions, including computing power, models, and applications, with a notable improvement in the usability of domestic computing power [2]. - The IDC sector is anticipated to undergo major changes in 2026, driven by the demand from cloud vendors and the need for efficient computing resources [2]. - The report emphasizes the scarcity of effective supply in the market, with government policies shifting focus from broad construction to orderly guidance and efficient resource allocation [2]. - Key companies identified for investment include leading IDC firms and those in the supply chain for power distribution and temperature control [2]. Summary by Sections Demand Side - High demand from cloud vendors is expected, with a significant number of IDC orders anticipated to be deployed by mid-2026 [2]. - The necessity for cloud vendors to secure quality assets for sustainable computing power supply is highlighted [2]. Supply Side - The report notes a strong scarcity of "effective supply," with government initiatives aimed at optimizing the layout of intelligent computing resources [2]. - The need for supporting equipment such as UPS/HVDC and liquid cooling systems is emphasized due to the redundancy requirements in power supply [2]. Key Companies - Core players in the IDC sector include Runze Technology, Dongyangguang, and Baoxin Software, among others [3]. - Companies with flexible demand and strong client ties, such as Dawi Technology and Aofei Data, are also highlighted as potential investment opportunities [2].

Group 1 - The GEO concept has significantly boosted AI applications, with stocks like Shiji Information and Taxfriend both hitting the daily limit up, and others like Yidian Tianxia rising by 14.20% [1] - The cloud computing ETF (159890) opened with a 3.39% increase and saw substantial net inflows, indicating strong investor interest in AI-related stocks [1][6] - The ETF tracks a broad range of sectors, with IT services, horizontal general software, and vertical application software making up approximately 65% of its index, highlighting its deep investment in AI applications [6] Group 2 - The U.S. has relaxed export regulations on Nvidia's H200 chips to China, but the impact on the domestic computing power industry is expected to be limited due to differing application scenarios [3] - Domestic computing power is primarily focused on small to medium models and inference applications, which do not overlap significantly with the H200's training applications [3] - By 2026, domestic computing power is projected to capture over 400 billion yuan of the estimated 600-650 billion yuan allocated for domestic purchases, driven by major companies like ByteDance, Alibaba, and Tencent [3] Group 3 - The AI industry is transitioning from a focus on "computing power competition" to "application landing," with a growing emphasis on commercializing AI applications [4] - Historical trends suggest that hard technology follows a cyclical pattern, while soft technology is more influenced by changes in business models, indicating a potential new wave of software market activity [4] - The AI market is expected to maintain a high configuration cost-performance ratio as it enters its second phase in 2026, with applications becoming the core focus [4]

Group 1 - The GEO concept has significantly boosted AI applications, with stocks like Shiji Information and Taxfriend reaching their daily limit up, and others like Yidian Tianxia increasing by 14.20% [1] - The cloud computing ETF (159890) opened with a 3.39% increase, indicating substantial net inflows, and it tracks a broad index with 65% allocation to IT services, general software, and vertical application software, showing deep engagement in AI applications [1][6] Group 2 - The U.S. has relaxed export regulations on Nvidia's H200 chips to China, but the impact on the domestic computing power industry is expected to be limited due to differing application scenarios [3] - Domestic computing power is projected to capture over 400 billion yuan of the estimated 600-650 billion yuan allocated for domestic purchases by ByteDance by 2026, with significant investments also expected from Alibaba and Tencent [3] - The Chinese intelligent computing power market is anticipated to maintain a compound annual growth rate of 57% from 2020 to 2028, driven by the expansion of intelligent computing centers and accelerated domestic substitution [3] Group 3 - The AI industry is transitioning from a focus on "computing power competition" to "application landing," with a notable increase in confidence regarding the commercial viability of large model applications [4] - Historical trends suggest that hard technology follows a cyclical pattern driven by market conditions, while soft technology is more influenced by changes in business models, indicating a potential new wave of software market activity [4] - The AI market is expected to remain a core focus in 2026, with applications offering high configuration cost-effectiveness despite limited price increases compared to overseas computing power [4]

Group 1 - The AI application sector continues to strengthen, with the CSI Software Service Index rising by 1.91% as of January 14, 2026, and notable stocks like Shiji Information hitting the daily limit up of 10% [1] - The Software ETF Index has seen a significant increase of 11.02% over the past week, reaching a new high of 293 million yuan [1] - The National Bureau of Statistics is advancing the establishment of a registration system for data property rights to promote the circulation and utilization of data elements, aiming to create benchmark data sets with international influence by the end of 2026 [1] Group 2 - As of December 31, 2025, the top ten weighted stocks in the CSI Software Service Index account for 60.89% of the index, including companies like iFLYTEK and Kingsoft [2] - The Software ETF Index closely tracks the CSI Software Service Index, providing opportunities for off-market investors through linked funds [2]