Investment Rating - The report maintains a "Buy" rating for key companies in the computing power industry, specifically recommending companies like Zhongji Xuchuang, Xinyi Sheng, and Tianfu Communication [14][9][8]. Core Insights - The computing power industry is entering a phase of rapid growth, driven by significant capital expenditure from major CSPs towards AI computing power [24][3]. - The macroeconomic environment, particularly the strong expectations for interest rate cuts in North America, is expected to enhance the long-term value of growth stocks, particularly in the tech sector [25]. - AI applications are reaching a profitability inflection point, with leading companies leveraging their advantages to penetrate vertical markets [26][2]. - The demand for computing power is becoming increasingly critical, with major companies like Meta and OpenAI planning substantial investments in data center infrastructure [27][3]. - The industry is characterized by a "stronger getting stronger" dynamic, with established players solidifying their market positions through technological advantages and deep customer relationships [29][7]. Summary by Sections Macroeconomic Perspective - The expectation of interest rate cuts in the U.S. is likely to reduce debt costs for AI companies, alleviating financial pressure and encouraging further investment in R&D and acquisitions [25][24]. Mid-level Perspective - AI applications are accelerating in both technological advancements and user adoption, with significant growth in user numbers for platforms like GPT [26][2]. - The profitability of AI applications is transitioning from experimental phases to established business models, with major players expanding into new verticals [26][2]. Micro-level Perspective - The computing power market is witnessing a solid oligopoly, with domestic companies like Zhongji Xuchuang and Xinyi Sheng gaining a competitive edge through specialized technology and long-term partnerships with overseas clients [29][7]. - Innovations in computing infrastructure, particularly in optical communication and liquid cooling technologies, are expected to enhance efficiency and performance [29][8]. Investment Recommendations - The report recommends focusing on leading companies in the computing power supply chain, including Zhongji Xuchuang, Xinyi Sheng, and Tianfu Communication, as well as companies involved in liquid cooling solutions [9][8][29].

Core Viewpoint - DeepSeek App has recently updated its features, introducing a new function that allows users to generate and share images of their conversation content [2][6]. Group 1: App Features - The updated DeepSeek App now includes a feature for users to generate shareable images of their conversation content, enhancing user experience and sharing capabilities [6]. - The app has received 59,000 ratings and holds a score of 4.0, indicating a positive reception among users [7]. Group 2: Model Development - There are rumors regarding the release of the DeepSeek-R2 model between August 15 and 30; however, sources close to DeepSeek have confirmed that there are no plans for a release in August [10]. - The CEO, Liang Wenfeng, is reportedly not satisfied with the current performance of the R2 model, and the team is focused on optimizing code generation and multilingual reasoning capabilities before deployment [10].

Group 1 - The core viewpoint highlights the strong performance of the A-share "chip giant" Cambricon, with its stock price rising over 14% to reach 985 yuan, resulting in a market capitalization exceeding 395 billion yuan [1] - The Huabao Science and Technology Artificial Intelligence ETF (589520), which has Cambricon as its top holding, saw significant trading activity, with a peak price increase of 1.5% before a slight decline [1] - The ETF has experienced a premium in the market, indicating strong buying interest, and has attracted a total of 821.7 million yuan in investments over the past 60 days, reflecting optimism towards the AI sector [1] Group 2 - The competitive landscape for large models is intensifying, with the latest rankings showing that nine out of the top ten models are domestic, led by Zhipu's GLM-4.5 [3] - Despite DeepSeek R1 not ranking highly, it has received the most likes among domestic models, indicating strong user engagement [3] - Analysts suggest that the trend towards self-sufficient computing chips is inevitable, with domestic cloud providers likely to adapt to local chip solutions due to security concerns with Nvidia chips [3] Group 3 - Historical trends indicate that sectors that have undergone early adjustments can initiate a second wave of growth, with AI meeting conditions for renewed leadership in the market [4] - The AI sector has seen a period of adjustment followed by gradual recovery, suggesting a potential for further upward movement [4] Group 4 - The Huabao Science and Technology Artificial Intelligence ETF (589520) is positioned as a key player in the domestic AI industry, with a significant focus on semiconductor stocks, which account for nearly half of its top holdings [5] - The ETF is designed to benefit from the integration of edge and cloud computing, with a balanced allocation across software applications, terminal applications, and chips [5]

Core Insights - DeepSeek App has been updated to support a new feature that allows users to generate and share images of conversation content [1] Company Developments - The update enhances user engagement by enabling the sharing of conversation content in a visual format [1]

Group 1 - The 2025 World IP Economic Development Conference and Global IP Licensing Expo was held in Guangzhou, attracting over 300 exhibitors and nearly 30,000 professional visitors [1] - The event focused on the theme "Cultural Diversity, Creative Boundaries - Resonating with the Global IP Economic Pulse," aiming to promote cross-industry integration of "IP + Technology + Culture + Finance + Manufacturing" [1] - The President of the Guangdong Copyright Protection Association expressed the hope to establish the Global IP Licensing Expo as a platform for copyright trade and cross-industry integration, enhancing the high-quality development of the copyright industry [1] Group 2 - The IP Industry Development Alliance was officially established during the event, releasing the "Guangzhou Initiative for IP Industry Development" [3] - The alliance aims to leverage Guangzhou's unique business environment and trade resources to create a leading national and internationally competitive IP economic industry chain [3] - The initiative focuses on standardizing the cultural IP industry, enhancing innovation capabilities, and supporting domestic IP brands in expanding internationally [3] Group 3 - The "2025 Top Ten Annual IPs" were announced at the 2025 Annual IP Honor Ceremony, covering various sectors such as literature, film, music, and cultural experiences [4] - Notable IPs included "The Most Beautiful Journey to the West," "Nezha: The Devil's Child," and the DeepSeek App, showcasing a diverse range of cultural and entertainment offerings [4]

Core Viewpoint - DeepSeek has disclosed key information regarding its model inference cost and profit margins, claiming a theoretical daily profit margin of 545% based on specific assumptions about GPU rental costs and token pricing [1][3]. Financial Performance - DeepSeek's total cost is reported to be $87,072 per day, assuming a GPU rental cost of $2 per hour. The theoretical total revenue from all tokens, calculated at DeepSeek-R1 pricing, amounts to $562,027 per day, leading to a profit margin of 545% [1][3]. - The pricing structure for DeepSeek-R1 includes $0.14 per million input tokens (cache hit), $0.55 per million input tokens (cache miss), and $2.19 per million output tokens [3]. Market Reactions - The article prompted significant discussion online, particularly regarding the profitability of DeepSeek's API services, with founder You Yang previously stating a monthly loss of 400 million yuan [2][5]. - You Yang indicated that the current state of DeepSeek API (MaaS) is not profitable due to discrepancies between testing speeds and real-world scenarios, as well as machine utilization issues [5]. Operational Insights - DeepSeek aims to optimize its V3/R1 inference systems for higher throughput and lower latency, focusing on techniques such as increasing batch size and load balancing [4]. - The company operates with a strategy of deploying full nodes during peak hours and releasing nodes for training during off-peak hours, which is seen as a response to concerns about resource utilization [5]. Open Source Initiatives - DeepSeek recently concluded a "Open Source Week," during which it announced the release of several codebases, including Fire-Flyer file system and other frameworks aimed at enhancing data processing capabilities [7][8][9][10][11]. - The cumulative downloads of the DeepSeek App have surpassed 110 million, with peak weekly active users reaching nearly 97 million, indicating strong user engagement [12].