格隆汇12月16日丨振芯科技(300101.SZ)在投资者互动平台表示，公司目前暂不涉及算力芯片研发，公 司采用国内先进GPU芯片的国产化方案形成了定制化的GPU算力板卡、嵌入式智能计算卡等全国产化的 优势产品，目前已实现批量销售。 ...

Core Viewpoint - The rise of generative artificial intelligence has led to a surge in global computing power demand, positioning computing power as a key indicator of national technological competitiveness. Domestic GPU manufacturers, such as Shanghai Birun Technology Co., Ltd., are accelerating their breakthroughs in high-end general-purpose intelligent computing chips, with their GPU products now in mass production [1][2]. Group 1: Company Developments - Shanghai Birun Technology plans to issue up to 373 million shares for overseas listing on the Hong Kong Stock Exchange, marking a significant step towards becoming the first GPU stock in Hong Kong [1]. - The company has successfully launched multiple GPU products that are widely used in the artificial intelligence industry, including large model training and various inference application scenarios [3][6]. - Birun Technology is collaborating with major enterprises like China Mobile and China Telecom to deploy its GPU products in AI data centers and other critical industries [6][7]. Group 2: Market Dynamics - The domestic smart computing chip market is projected to exceed 350 billion yuan, with NVIDIA's H20 product orders reaching 16 billion USD (approximately 112.9 billion yuan) in the first quarter of this year [2]. - The global GPU market is currently dominated by foreign tech giants, but geopolitical uncertainties are driving countries to accelerate their own technology development, creating opportunities for domestic GPU growth [2][3]. Group 3: Strategic Focus - Birun Technology's strategy emphasizes three core areas for the next five years: architectural innovation to overcome performance bottlenecks, ecosystem collaboration to reduce user migration costs, and scenario adaptation to address practical application pain points [3][4]. - The company is focusing on supernode technology to enhance cluster performance, which is seen as a critical method to compensate for the limitations of single-chip processes [4][5]. Group 4: Industry Outlook - The artificial intelligence industry in China is experiencing rapid growth, but the chip sector is still in its early stages, leading to an impending period of market consolidation where only a few companies are expected to survive [6][7]. - The rise of large models and multi-modal training is pushing computing clusters into a new era, with supernode architecture becoming a key technological path for this evolution [5][6].

Core Insights - The year-end ranking battle among funds has intensified, with 67 funds achieving over 100% returns year-to-date as of December 12, 2023, including 57 active equity funds [2][3] - The leading fund, Yongying Technology Smart A, has a return rate of 218%, significantly ahead of the second-place fund by over 51 percentage points, making its victory nearly certain [4] - The performance of top funds is heavily influenced by investments in sectors like computing chips and optical modules, which are considered standard in their portfolios [2][4] Fund Performance - The top-performing fund, Yongying Technology Smart A, has a cumulative return of 218%, while the second-place fund, Zhonghang Opportunity Leading A, has a return of 166.65% [4] - The competition for rankings among mid-tier funds is fierce, with several funds like Hongtu Innovation Emerging Industry A and Xin'ao Performance Driven A achieving returns above 147% [4] - The top ten funds have a performance threshold set at 136.83%, indicating a narrow margin for ranking changes in the remaining trading days [4] Market Trends - The strong performance of active equity funds this year is attributed to a combination of technology, demand, and capital, with over 95% of active equity funds achieving positive returns [6] - The computing and optical module indices have seen significant increases, with year-to-date gains of 93.83% and 172.08%, respectively [5] - The focus on technology investments is expected to continue, with a shift towards performance verification rather than speculative themes [8][9] Future Outlook - Analysts suggest that the technology sector, particularly the optical communication industry, will remain a key component of investment strategies in the coming year, driven by explosive demand and supportive macro policies [2][8] - There is a consensus that the market will transition from speculative investments to a focus on the quality of earnings growth and sustainable business models [9] - Key areas for investment include AI applications, domestic replacements, and companies with strong technological barriers and commercialization capabilities [9]

Core Viewpoint - The article discusses the intense competition among funds for year-end rankings, highlighting that as of December 12, 67 funds have achieved over 100% returns this year, with a significant focus on technology sectors such as computing chips and optical modules [3][5]. Fund Performance Summary - As of December 12, 67 funds have surpassed 100% returns, with 57 being actively managed equity funds, marking the best performance in five years [5][9]. - The top-performing fund, Yongying Technology Smart A, has a return rate of 218%, leading the second-place fund by over 51 percentage points [5][6]. - The competition for rankings is fierce among mid-tier funds, with several funds showing returns above 140%, indicating a narrow margin for potential ranking changes in the remaining trading days [6][8]. Investment Trends - The leading funds have a high concentration of investments in AI-related stocks, particularly in computing chips and optical modules, which are seen as essential components in the technology sector [8][9]. - The performance of the computing and optical module indices has been significant, with year-to-date increases of 93.83% and 172.08%, respectively [8]. Market Outlook - Analysts suggest that the technology sector's strong performance may continue into the next year, but there will be significant internal differentiation within the sector [3][10]. - The focus for investors is shifting from thematic investments to performance verification, emphasizing the importance of tracking technological advancements and profitability [12][13]. - The market is expected to favor companies with solid fundamentals, particularly in AI, pharmaceuticals, and high-end manufacturing, as these sectors are likely to see sustainable growth [13].

Group 1: AI Infrastructure Growth - The latest report from CMB International predicts that AI infrastructure will continue to grow strongly at least until 2026, with major overseas cloud providers' capital expenditures expected to increase by over 60% in 2024 and 2025, followed by a growth of over 30% in 2026 [1] - The market is looking for the "next Cambricon" following the rapid market capitalization growth of Cambricon (688256.SH) this year, with the recent listing of Moore Threads (688795.SH) on the STAR Market leading to significant stock price increases [1][2] Group 2: Stock Performance Comparison - Cambricon's stock price has increased by over 100% this year, driven by explosive revenue growth, with total revenue reaching 4.607 billion yuan in Q3, compared to only 185 million yuan in the same period last year [2][10] - The stock price of Cambricon began to rise significantly in early August, prior to the release of its semi-annual report, indicating that profitability was not the direct driver of its stock price increase [4] - In contrast, Nvidia's stock price has shown a divergence from Cambricon's, with Nvidia's market capitalization reaching over $5 trillion while Cambricon's market cap is approximately 588 billion yuan [4][10] Group 3: Capital Expenditure Insights - The narrative in the U.S. capital markets suggests that tech giants' capital expenditures on AI infrastructure, particularly core computing hardware, have supported the rise in AI hardware stock prices [6] - Among the top 20 companies in the S&P 500, those with significant capital expenditure increases are primarily related to AI data center assets, including energy, storage, and semiconductors [7] - The overall capital expenditure of the CSI 300 companies was approximately 2.031 trillion yuan, showing a slight decrease of 0.5% compared to last year, indicating that the data may not fully reflect the true state of AI capital expenditures in Chinese tech companies [9][10] Group 4: New Market Entrants - Newly listed companies Moore Threads and Muxi Co. reported revenues of 784.6 million yuan and 1.236 billion yuan respectively for the first three quarters, indicating they are in the early stages of commercialization but have entered a revenue-generating phase [14] - Both companies have shown a sales rate exceeding 100% in 2025, reflecting their acceleration into the commercialization phase [15] Group 5: R&D and Profitability - Moore Threads and Muxi Co. are currently operating at a loss, with net profit margins of -92.22% and -27.95% respectively, while Cambricon achieved a net profit margin of 34.81% this year [18] - The R&D expense ratios for Moore Threads and Muxi Co. are significantly higher than the average of comparable companies, indicating ongoing investment in research and development [16][17]

Group 1 - The "Doubao Mobile Assistant" team announced plans to regulate AI capabilities for mobile operations, including restrictions on financial and gaming applications, while seeking clearer rules through communication with app developers [2] - The cloud computing ETF Huatai-PineBridge (159273) saw mixed performance among its constituent stocks, with Keda Data and Zhongke Xingtu rising over 1%, while Donghua Software fell over 3% [2] Group 2 - Google’s TPU (Tensor Processing Unit) has reportedly outperformed OpenAI's ChatGPT 5, leading to speculation that Meta may adopt Google’s TPU over NVIDIA's GPUs [4] - The competition between Google’s TPU and NVIDIA’s GPU is viewed as a rational return to efficiency and cost considerations rather than a life-or-death struggle [4][5] - Google’s TPU is designed specifically for neural network acceleration, offering superior performance and energy efficiency compared to NVIDIA’s more flexible GPU platform [5] - Despite the advantages of Google’s TPU, NVIDIA's GPUs remain the preferred choice for many manufacturers due to their compatibility and flexibility in supporting various AI models [5][6] - The competition in chip performance is driven by increasing demands for data transmission efficiency, benefiting hardware supply chains, particularly in the optical module and PCB sectors [6] - A calculation indicates that if Google’s TPU partially replaces NVIDIA’s market share, the growth rate of the optical module sector could accelerate significantly [6]

作为 "国产GPU第一股" ，摩尔线程在科创板的首次亮相，便以惊人的涨幅点燃了市场热情，这不仅是对其技术稀缺性的直接肯定，也凸显了在人工智能浪潮 下市场对国产高端算力芯片前景的强烈看好。 12月5日，摩尔线程正式登陆科创板，开盘价报650元，较114.28元的发行价暴涨468.78%。盘中最高触及688元，涨幅达到502%，市值一度超过2700亿元。 按开盘价计算，中一签（500股）的投资者浮盈超过28万元， 成为今年以来最赚钱的新股之一。截至发稿，该股最新报590.59元/股，涨幅为416.79%。 摩尔线程也为早期投资者带来的惊人回报上——作为最早的投资方之一， 沛县乾曜的初始投资获得了超过6262倍的账面增值，创造了资本神话。 此次IPO吸引267家机构参与报价，网下申购倍数达1572倍，南方基金、易方达基金等头部机构动用数百只产品申报。公司募资约80亿元，成为今年科创板最 大IPO。尽管公司目前仍处于亏损状态，但其高达122倍的市销率远超英伟达等海外巨头，显示出市场正在为其未来的成长空间和技术独特性进行高溢价定价。 作为国内唯一能在功能上对标英伟达的公司，摩尔线程基于自研MUSA架构，在单芯片上实现A ...

作为"国产GPU第一股"，摩尔线程在科创板的首次亮相，便以惊人的涨幅点燃了市场热情，这不仅是对其技术稀缺性的直接肯定，也凸显了在人工智能浪潮 下市场对国产高端算力芯片前景的强烈看好。 12月5日，摩尔线程正式登陆科创板，开盘价报650元，较114.28元的发行价暴涨468.78%。盘中最高触及688元，涨幅达到502%，市值一度超过2700亿元。 按开盘价计算，中一签（500股）的投资者浮盈超过28万元，成为今年以来最赚钱的新股之一。截至发稿，该股最新报576元/股，涨幅为404%。 | | | N 摩尔-U | | | | | --- | --- | --- | --- | --- | --- | | 688795 科创 融 新 成 | | | | | | | 576.00 | 间 | 688.00 | 市值 2707.4亿 | 量比 | | | 556.00 | ਜ਼ਿੰ | | 流涌 169.24亿 | 换 | 62.7 | | 461.72 404.03% | 井 | 650.00 | 市盈™M 写损 | 额 | 112.8 | | 同存在顺 同花顺个股人气排名 1/4284 | | | | | | ...

Market Overview - The market is currently experiencing weakness, with major indices falling below the 60-day moving average, indicating a lack of upward momentum [1] - Despite a favorable monetary environment, there are signs of weakness in the real economy, leading to cautious investor sentiment [1][2] Investment Strategy - Investors are advised to stabilize their positions and avoid leveraging, focusing instead on technology and new economy sectors rather than cyclical stocks [2] - The emphasis should be on long-term opportunities in leading AI companies, as the AI and computing chip sector is seen as a historic opportunity despite potential short-term valuation risks [4][5] Technology Sector Insights - AI and computing chips are identified as transformative technologies that could significantly enhance productivity over the next 20 years [4] - Brain-computer interfaces are viewed as a bubble, with current technology only providing limited functionality for disabled individuals [5][6] - Satellite internet is recognized as a genuine opportunity due to its proven technology and demand in remote areas, particularly in China [7][8] Emerging Technologies - Blockchain is considered a bubble, with concerns over the security of cryptocurrencies like Bitcoin, which may lead to a collapse in their valuation [8] - Human-like robots and low-altitude electric manned flying vehicles are also categorized as bubbles, with significant regulatory and technical challenges hindering their development [9][10] - Quantum communication and quantum computing are still uncertain, with significant technical hurdles to overcome [10][11] Established Technologies - 3D printing is seen as having potential for growth, especially as AI lowers design barriers, making it more accessible for home use [11] - Lithium batteries, particularly solid-state batteries, are viewed as having opportunities, although traditional lithium battery technology is reaching maturity [11]

Investment Rating - The industry investment rating is "Positive" [2] Core Insights - The electronic sub-industry has significantly recovered, with the Shenwan Electronics secondary index showing year-to-date changes of: Semiconductors (+39.75%), Other Electronics II (+43.95%), Components (+89.82%), Optical Electronics (+5.55%), Consumer Electronics (+42.54%), and Electronic Chemicals II (+38.20%) [2][9] - North American key stocks mostly rose, with notable increases for companies like Micron Technology (+180.99%) and Intel (+102.29%) year-to-date [10] - Google's TPU v7 demonstrates cost advantages over GPU-based systems, challenging the GPU-dominated computing market. The total cost of ownership (TCO) for TPU is approximately 30%-40% lower than NVIDIA's GB200 system [2][24] - The demand for AI infrastructure is growing significantly, with NVIDIA reporting that cloud GPUs are sold out, indicating a supply-demand imbalance. TrendForce predicts over 20% year-on-year growth in global AI server shipments by 2026 [2][3] Summary by Sections Market Performance - The Shenwan Electronics secondary index has shown substantial recovery, with weekly changes for various segments: Semiconductors (+5.72%), Other Electronics II (+7.59%), Components (+8.10%), Optical Electronics (+5.23%), Consumer Electronics (+6.08%), and Electronic Chemicals II (+3.93%) [9] - Key North American stocks have shown positive performance, with significant increases for companies like Tesla (+9.99%) and Qualcomm (+2.93%) [10] Technology Competition - Google's TPU v7 has emerged as a strong competitor in the computing market, leveraging superior system-level engineering to achieve higher model performance utilization rates compared to NVIDIA GPUs [2][24] - The competition between GPU and TPU is seen as a redistribution of market share in a growing market, with both technologies expected to experience rapid growth [2] Investment Opportunities - Recommended companies to watch include: For overseas AI - Industrial Fulian, Huadian Co., Pengding Holdings, Shenghong Technology, and Shengyi Technology; For domestic AI - Cambricon, Chipone, Haiguang Information, SMIC, and Shenzhen South Circuit [3]