Core Viewpoint - The article discusses the recent IPO of Moole Technology on the STAR Market, highlighting its significant stock price surge and comparing its valuation and business model to that of Cambricon, another prominent player in the AI chip industry. Group 1: Moole Technology's IPO and Market Position - Moole Technology's stock price surged by 425.46% on its debut, achieving a market capitalization of 300 billion yuan, which is a remarkable feat compared to Cambricon's four-year journey to reach a similar valuation [4][5]. - The article questions whether Moole Technology can replicate Cambricon's success, which saw a 15-fold increase in stock price within a year [6]. Group 2: Comparison with Cambricon - Unlike Cambricon, which showed clear signs of profitability by early 2024, Moole Technology's management anticipates profitability by 2027, a target that may be challenging to achieve [9]. - Moole Technology's revenue projections from 2022 to 2024 are 46.08 million yuan, 124 million yuan, and 438 million yuan, respectively, with net losses of 1.84 billion yuan, 1.67 billion yuan, and 1.49 billion yuan during the same period [9]. - The company's R&D investment is notably high, with a cumulative expenditure of 4.3 billion yuan by 2024, which is over seven times its projected revenue [9]. Group 3: Business Model and Market Strategy - Moole Technology has diversified its product lines into four major areas: AI computing, graphics rendering, computing virtualization, and consumer entertainment tools, unlike Cambricon, which has focused on cloud chip business [9][10]. - The company is developing game drivers from scratch, which is a significant undertaking given the competitive landscape dominated by established players like NVIDIA [10]. - Moole Technology's strategy includes targeting the domestic market with its desktop GPUs, achieving a shipment volume of over one million units in the past three years [10]. Group 4: Market Dynamics and Future Outlook - The shift in the AI industry towards domestic alternatives has positioned Moole Technology favorably, as the market increasingly recognizes the need for local solutions [11]. - The global market for GPGPU chips exceeds $100 billion, providing a substantial growth opportunity for Moole Technology, especially as GPU chips remain essential for AI acceleration [12]. - Moole Technology's architecture, MUSA, aims to provide a unified system for various computing tasks, enhancing developer usability and potentially setting it apart from competitors [15][16]. Group 5: Industry Trends and Challenges - The AI chip industry in China is becoming fragmented, with many companies focusing on niche markets rather than comprehensive solutions, which may pose challenges for Moole Technology's broader strategy [18]. - The long-term value of Moole Technology's all-encompassing approach is acknowledged, but its ability to convert long-term potential into short-term profitability remains to be seen [18].

Core Viewpoint - The surge in the AI sector, particularly driven by domestic policies limiting the use of Nvidia's H20 chip and the upcoming release of the DeepSeek R2 model, positions Cambricon as a leading player in the domestic AI chip market, with significant growth potential anticipated in the coming years [3][4][5]. Group 1: Market Performance - The Sci-Tech Innovation AI ETF (588790) rose by 2.34%, with a recent price of 0.66 yuan, and has seen a cumulative increase of 2.73% over the past two weeks [3]. - Cambricon (688256) experienced a strong increase of 19.36%, while other stocks like Chipone (688521) and Stone Technology (688169) also saw gains [3]. - The ETF's trading volume reached 5.33 billion yuan, with a turnover rate of 7.58% [3]. Group 2: Policy Impact - Recent government recommendations suggest avoiding the use of Nvidia's H20 chip due to security concerns, which directly benefits domestic chip manufacturers like Cambricon [4]. - Cambricon's products are positioned as ideal alternatives to the H20 chip, enhancing its market opportunities amid the ongoing push for domestic replacements [4]. Group 3: Technological Developments - The upcoming release of the DeepSeek R2 model, expected to increase demand for inference computing power, is anticipated to further boost Cambricon's market position [4][5]. - Cambricon's AI chip products, such as the Siyuan 370 and 590 series, are noted for their performance in high-concurrency inference scenarios, making them a preferred choice for deploying domestic large models [4]. Group 4: Financial Outlook - Cambricon's revenue is projected to reach between 30 billion to 40 billion yuan by 2026, reinforcing its growth narrative [5]. - The Sci-Tech Innovation AI ETF has seen significant inflows, with a total of 17.54 billion yuan over the past 12 days, indicating strong investor interest [5][6]. Group 5: ETF Performance Metrics - The Sci-Tech Innovation AI ETF has achieved a net value increase of 4.28% over the past six months, ranking first among comparable funds [6]. - The ETF's management fee is 0.50%, and its tracking error over the past month is 0.009%, indicating high tracking precision [6].