Summary of Liquid Cooling Technology Conference Call Industry Overview - The liquid cooling technology in data centers has seen significant growth driven by NVIDIA (NV) and ASIC, with NV's ML 72 cabinet liquid cooling ratio increasing from 70% in GB 200 to 100% in GB 300, indicating a strong market demand in North America [2][3] - Major tech companies like Meta, Google, and OpenAI are increasing their demand for liquid cooling solutions, leading to a substantial market opportunity [4][8] Key Insights and Arguments - Google has raised its TPU guidance multiple times in 2025, which is expected to create a demand for millions of 1.6T optical modules, resulting in a new liquid cooling demand of 15-20 billion RMB. By 2026, Google's liquid cooling market space could exceed 40 billion RMB, potentially reaching 60-70 billion RMB by 2027 [2][5] - In the liquid cooling sector, Invec is positioned to become a core supplier for Google due to its comprehensive supply chain layout, NV certification, and experience in delivering integrated solutions [6] - Other companies such as Yinlun, Tongfei, Gaolan, Shenling, Feilong, and Far East are also expected to enter the overseas supply chain and benefit from the growth in the liquid cooling market [7] Future Development Prospects - The liquid cooling sector is projected to grow significantly, with an estimated market space of 80 billion RMB from 100,000 cabinets, assuming each cabinet is valued at 800,000 RMB [4][8] - The increase in bidding volumes in the domestic AI and AIGC sectors indicates a positive trend, with significant order growth for related switch companies [9] - Invec's revenue from liquid cooling has rapidly increased, with a fourfold growth in 2022 and threefold growth in 2023, and is expected to exceed 200 million RMB in the first half of 2025 [4][12] Additional Important Points - The liquid cooling market is expected to reach over 20 billion RMB globally this year, with projections of 120-140 billion RMB in the following year [12] - Invec has established itself as a key player in the industry, having entered the NVIDIA supply chain and developed various cooling solutions, including water cooling and indirect evaporative cooling [12][13] - The company is expanding its production capacity and enhancing its competitiveness by building new headquarters and accelerating overseas resource platform development [13] This summary encapsulates the critical developments and insights from the conference call regarding the liquid cooling technology industry and its key players.

Investment Rating - The investment rating for the computer industry is "Positive" (maintained) [1] Core Views - The report highlights that domestic AI capabilities are continuously improving and gaining global recognition, with significant advancements in computing power, large models, and application sectors [6][12] - Baidu's new Kunlun chips M100 and M300 are set to launch in 2026 and 2027 respectively, indicating a strong push in domestic AI computing power [4][10] - Alibaba's "Qianwen" project aims to create a personal AI assistant to compete with ChatGPT, showcasing the rapid development of domestic AI models [5][11] Summary by Sections Market Review - During the week of November 10-14, 2025, the CSI 300 index fell by 1.08%, while the computer index dropped by 3.03% [3][13] Company Dynamics - Fourth Paradigm reported a total revenue of RMB 4.402 billion for Q3 2025, a year-on-year increase of 36.8% [14] - Digital政通's subsidiary won a significant project with a contract value of RMB 108.90 million [15] - Shenzhou Digital announced an employee stock ownership plan with a fundraising cap of RMB 360.22 million [16] Industry Dynamics - Baidu's Kunlun chip M100 is expected to launch in early 2026, while OpenAI has released the GPT-5.1 series [20][27] - The report notes that domestic AI computing power is reshaping the competitive landscape by reducing reliance on foreign manufacturers [4][10]

Investment Rating - The report maintains a "Recommended" investment rating for the computer industry [2][11]. Core Insights - The WAIC 2025 showcased significant advancements in domestic AI technology, indicating a shift from being a "follower" to a "leader" in the AI sector. This includes developments in domestic computing power, large models, and AI applications, which are expected to evolve in a synergistic manner [11]. - Huawei's unveiling of the Ascend 384 SuperNode at WAIC 2025 represents a major leap in domestic AI computing capabilities, with over 80 mainstream large models already adapted for this technology. This architecture is anticipated to enhance the competitiveness of domestic computing power [7][11]. - The launch of the new 321 B-MoE large model by Jieyue Xingchen is set to open a new round of competition in multi-modal models, emphasizing the trend of "open-source + extreme inference efficiency" in domestic large model iterations [7][11]. - Alibaba Cloud's Baolian platform, recognized at WAIC 2025, has integrated over 200 mainstream models and attracted more than 200,000 developers, indicating a rapid acceleration in the commercialization of domestic AI applications [7][11]. Summary by Sections Domestic Computing Power - The Ascend 384 SuperNode features a high-bandwidth, low-latency interconnection among 384 NPUs, addressing communication bottlenecks within clusters and enhancing performance for model training and inference [7]. - The performance of SGLang and DeepSeek on the CloudMatrix384 has surpassed their performance on NV H100 and H800, showcasing the potential of domestic computing architectures [7]. Large Models and AI Applications - The 321 B-MoE model is expected to achieve three times the inference efficiency of DeepSeek-R1 on domestic chips and a 70% throughput increase on NVIDIA Hopper, highlighting the competitive edge of domestic models [7]. - The trend of open-source large models combined with domestic chips is projected to accelerate the growth of AI applications in China [7]. Key Companies to Watch - The report suggests focusing on companies such as Hengwei Technology (603496.SH), Youke De-W (688158.SH), YunSai ZhiLian (600602.SH), and Data Port (603881.SH) for domestic computing power. For large models and AI applications, companies like Dingjie Zhizhi (300378.SZ), HanDe Information (300170.SZ), and SuoChen Technology (688507.SH) are highlighted [11].

Investment Rating - The investment rating for the computer industry is "Positive" (maintained) [1] Core Viewpoints - The report indicates that despite a recent market pullback with a decline of 1.4% in the computer sector, there is strong confidence in the ongoing development of domestic AI, suggesting that opportunities still exist [4] - The financial results from Century Internet validate the robust growth of the AI industry, with new orders of 252.5MW in Q4 2024 and a projected total capacity delivery of 400-450MW in 2025, representing a year-on-year growth of 161%-194% [4] - The report emphasizes the need to closely track developments in the AI industry, particularly in large model changes and application advancements, as numerous industry changes are expected domestically and internationally [4] - There is a focus on edge AI, which is anticipated to develop significantly with the emergence of multimodal large models, leading to new hardware terminals [4] - The report highlights the upcoming Nvidia GTC conference and the increasing importance of high-voltage direct current (HVDC) applications in AI data centers, suggesting a positive outlook for related power supply companies [4] - Investment strategies should focus on industry trends and select companies with high potential, while also considering the volatility of the sector [4] Summary by Sections Market Performance - The computer sector experienced a market pullback with a decline of 1.4%, ranking last among the Shenwan industry sectors [4] AI Industry Developments - The report notes a consensus in the market regarding the development of domestic AI, with significant capital expenditures expected from companies like Century Internet [4] - The report suggests that the market has shifted from "transaction expectations" to "transaction realities" regarding AI implementation [4] Investment Recommendations - The report recommends focusing on companies with clear application directions in edge AI and 2B applications, as well as those involved in domestic computing power [4]