Key Points - Multiple listed companies disclosed their latest developments in low-altitude economy and chip sectors through various channels on September 17 [1] Low Altitude Economy - Yipuli has made certain technological achievements in the field of drone blasting [1] - Zhonghaidah has established some cooperation with DJI in the aviation measurement business [1] Chip Sector - Daoshi Technology's invested company, Chipenson, has achieved sales of its APU chips [1] - Xingchen Technology has shipped chips suitable for AI glasses [1] CPO (Chip-on-Board) - Huagong Technology plans to launch new products such as 1.6/3.2T CPO optical engines in 2025 [1] - Ruide Intelligent's smart controller products have not yet entered the CPO field [1] Battery Sector - Aoni Electronics has not yet achieved large-scale shipments of liquid-cooled servers in collaboration with AMD [1] - Aohai Technology's entire product line supports PD3.1/3.2 fast charging protocols and AVS protocol, compatible with the iPhone 17 series [1] - CATL's sodium-ion passenger vehicle power batteries are expected to be supplied in bulk next year [1] - Hailiang Co. has developed new nickel-plated copper foil products suitable for solid-state batteries and is capable of mass production [1]

Group 1 - The core product of the company, APU chips developed by its affiliate Chip-Peison, is specialized for atomic scientific computing, significantly enhancing computational speed compared to traditional CPU/GPU by 1-3 orders of magnitude [1] - The energy consumption of the APU chips is reduced by 2-3 orders of magnitude, making them more efficient for applications in molecular dynamics (MD) and density functional theory (DFT) [1] - The products and services of the company have already achieved sales, indicating market acceptance and potential revenue generation [1]

Group 1: Company Overview and Strategic Direction - The company focuses on new materials, emphasizing innovation in materials, processes, and products, transitioning from a single ceramic material business to a diversified structure of "carbon materials + lithium battery materials + ceramic materials + strategic resources" [2][3] - 2025 marks a significant turning point in the company's development, initiating a new growth phase [2] Group 2: Business Performance and Financials - In the first half of 2025, the company achieved a net profit of 230 million CNY, a substantial increase of 108.16% year-on-year, reflecting the effectiveness of integration and business collaboration [3] - The lithium battery segment has successfully alleviated high inventory pressure and returned to a positive growth trajectory [3] Group 3: Resource Expansion and Production Capacity - The company's copper-cobalt strategic resource segment is becoming a key pillar of its competitiveness, with cathode copper production capacity in the Democratic Republic of Congo reaching 65,000 tons/year, expected to increase to 70,000-75,000 tons/year by the end of 2025 [3] - New projects for producing 30,000 tons of cathode copper and 2,710 tons of cobalt are underway, with plans for completion by the end of 2026 [3] Group 4: Technological Advancements - The company is advancing the industrialization of solid-state battery materials, focusing on a comprehensive range of key materials including single-walled carbon nanotubes and high-nickel ternary precursors [4][5] - The company aims to become a leading provider of solid-state battery materials solutions [5] Group 5: AI and R&D Integration - The core strategy is "AI + Materials," leveraging AI-driven research and development to enhance business operations [5][20] - The company has invested in AI chip development and established a computing power support system through partnerships, enhancing its capabilities in material innovation [5][20] Group 6: Market Applications and Customer Engagement - The company has successfully supplied single-walled carbon nanotubes to multiple battery cell customers, achieving performance parity with imported products [6][7] - The silicon-carbon anode product line is expanding, with plans to complete an annual production capacity of 300 tons by the end of the year and a potential increase to 5,000 tons based on market demand [8][9] Group 7: Future Prospects and Market Potential - The AI4S market is projected to grow significantly, with a potential market size of 59.5 billion USD if the penetration rate reaches 10% in related industries [22] - The company anticipates that the demand for computing power infrastructure will surge as AI technology continues to penetrate various sectors [22]

Summary of the Conference Call for Dow's Technology Company and Industry Overview - **Company**: Dow's Technology - **Industry**: AI and Materials Science, specifically focusing on brain-machine interface technology and advanced materials for robotics and sensors [2][3] Core Points and Arguments - **Investment in Long Brain Technology**: Dow's Technology invested $30 million in Long Brain Technology, a leader in non-invasive brain-machine interface technology, founded by Dr. Han Bicheng from Harvard University [4] - **Strategic Goals**: The investment aims to enhance product development efficiency and iteration speed through AI capabilities, aligning with Dow's strategy to become a platform company integrating AI with materials [4] - **Role of New Peison**: New Peison is crucial in Dow's AI strategy, focusing on discovering new materials and enhancing existing ones, particularly in humanoid and special robots, and sensor materials [5] - **AI Chip Development**: New Peison specializes in computing chips, addressing complex AI problems that traditional methods struggle with, and has received recognition from experts in the field [6] - **Artificial Neural Networks**: These networks excel in solving complex problems that cannot be described by equations, such as language models and image recognition, primarily relying on GPU technology [7] Breakthroughs and Innovations - **Advancements in Computing**: New Peison achieved significant breakthroughs in addressing the "curse of dimensionality," improving speed and reducing power consumption in molecular dynamics and density functional theory calculations [8] - **APU Chip Applications**: The APU chip simulates the Schrödinger equation, applicable in various fields of materials science, including military, chemical, lithium battery, photovoltaic, semiconductor, and cosmetics [9][10] - **Future Development Plans**: New Peison plans to expand its technology applications to larger-scale problems, such as weather simulation and vehicle aerodynamics, by developing the EPU chip for high-speed, low-power calculations [11] Additional Important Insights - **Successful Transition**: Dow's Technology transitioned from a focus on ceramic ink materials to the renewable energy sector in 2018, leveraging AI opportunities for larger-scale development [12] - **Collaborative Strategy**: The collaboration with Long Brain Technology and other companies is part of a unified strategy of "AI + materials + applications," aiming for breakthroughs in new material development [5]

Summary of the Conference Call for Dao's Technology Company and Industry Overview - **Company**: Dao's Technology - **Industry**: Semiconductor and High-Performance Computing (HPC) Key Points and Arguments 1. Dao's Technology has entered the chip research, production, and sales sector through its 80% stake in the computing power center, aiming to expand market influence and support R&D for research institutions and enterprises, marking a significant step in industrialization [2][3] 2. The company focuses on the design of APU (Atomic Processing Unit) chips using a fabless model, outsourcing production to foundries like TSMC and SMIC. The APU is primarily used for atomic-level scientific computing, with a projected market size in China reaching hundreds of billions of RMB annually, and currently no direct competitors [2][6] 3. The APU chip features a storage-computing integrated brain-like architecture, significantly improving computation speed and reducing energy consumption by two to three orders of magnitude compared to traditional GPUs and CPUs, particularly excelling in atomic-level scientific calculations [2][9] 4. The He Xi Atomic Computing Center, co-established by Dao's Technology, plans to invest approximately 200 He Xi architecture servers, with completion expected in 2025 and further expansion in 2026 [2][10] 5. The supercomputing service market is valued at hundreds of billions of RMB, with atomic-level scientific computing accounting for 50%-75% of this market, indicating a potentially underestimated market space [2][11] 6. The APU chip has significant growth potential, akin to the transformative impact of GPUs on AI, with the ability to unlock a trillion-level market in material research [2][12] Additional Important Insights 1. Dao's Technology has established a partnership with Professor Liu Jie’s team to develop the Guangdong Xin Pei Sen platform, where Dao's holds a 20% stake, focusing on chip R&D, production, and sales [3] 2. The APU chip has already been applied in fields such as new energy material design, outperforming Nvidia's banned GPU by an order of magnitude and being three times faster than imported CPUs [4][14] 3. The company’s business model includes time leasing, hardware sales, and technical services, with a focus on providing tailored solutions based on customer needs [4][16] 4. The APU chip is positioned as a high-precision, high-performance solution for atomic-level scientific calculations, providing distinct advantages over general-purpose GPUs [7][43] 5. The company has received positive feedback from major clients in the materials sector, including Ningde Times and Zhuhai Guangyu, confirming the performance advantages of their computing services [31] 6. Dao's Technology emphasizes its core barriers, including the integration of complex atomic-level scientific computing algorithms into the APU chip and the proprietary software ecosystem that supports its hardware [32] Market and Competitive Landscape 1. The APU chip's market is currently dominated by Dao's Technology, with no direct competitors in the atomic-level scientific computing niche [6][13] 2. The company plans to maintain its focus on scientific computing rather than entering the general computing market, which is already saturated with established solutions [47] 3. The company is also exploring the integration of large model technologies to meet domestic computing demands [45] Future Developments 1. Dao's Technology is in the process of developing ASIC chips, with the first MPW tape-out completed in 2023 and plans for further product iterations in 2026 [48][49] 2. The company aims to expand its computing power center and establish additional training centers in collaboration with local governments and partners [10][52]

Summary of the Conference Call for Dow's Technology and New Bessen Company and Industry Overview - **Company**: Dow's Technology - **Industry**: Advanced Materials and Computing Technology Key Points and Arguments Production and Financial Performance - Dow's Technology expects significant growth in cathode copper shipments, increasing from 40,000 tons in 2023 to nearly 70,000 tons by the end of 2024 [2][3] - The net profit attributable to shareholders for the first half of 2025 is projected to be between 220 million to 240 million, representing approximately 100% year-on-year growth, primarily driven by the strategic resources department and the expansion of cathode copper production [3] Collaboration with New Bessen - Dow's Technology and New Bessen established the Guangdong Heqi Atomic Computing Center to leverage New Bessen's APU computing power for accelerating the R&D of key materials such as single-walled tubes, silicon-carbon anodes, and solid-state electrolytes [2][4] - The center aims to enhance R&D efficiency, significantly reducing the development cycle from years to months and lowering labor costs [4] APU Technology and Market Potential - New Bessen's APU chips, based on a non-Von Neumann architecture, overcome traditional storage wall bottlenecks, significantly improving computational speed and reducing power consumption [6] - The APU is expected to capture a substantial share of the supercomputing service market, estimated to reach 46.6 billion yuan in 2025, with a compound annual growth rate of about 20% [9][20] - The potential market for digital twin applications in materials R&D could reach hundreds of billions, driven by the APU's ability to enhance computational capabilities [9][21] Applications and Advantages of APU - The APU is designed for atomic-level scientific calculations, providing significant speed improvements over traditional CPUs and GPUs, thus enhancing research efficiency in various fields, including biochemistry and drug development [12][13] - The APU's lightweight design allows for high-performance computing with lower hardware resource consumption, creating a strong technological barrier and intellectual property protection [22] Transition and User Experience - Transitioning from traditional CPU/GPU to APU is designed to be seamless, requiring minimal changes in existing scripts, thus lowering the barrier for users [15][16] - The APU can be integrated into existing systems without the need for a complete ecosystem overhaul, facilitating easier adoption by research institutions and companies [16] Future Developments and Impact - The second-generation APU, expected to launch in 2026, will further enhance performance, potentially transforming the materials R&D paradigm by reducing reliance on expensive experimental methods [20][21] - The introduction of quantum computing in carbon nanotube research has significantly improved quality parameters and reduced development costs, showcasing the APU's impact on efficiency [23] Energy Efficiency and Sustainability - The new computing center aims to address speed and energy consumption issues, achieving significant energy efficiency improvements through an integrated storage-computation chip architecture [27] Strategic Vision - The joint venture, Guangdong Heqi, is structured with Dow's Technology holding 80% and New Bessen 20%, with plans for potential nationwide expansion based on market conditions [17] Additional Important Insights - The APU's application in various fields, including environmental science and geology, highlights its versatility and potential for broad industry impact [12][13] - The focus on physical AI and its integration with atomic-level simulations aims to revolutionize material design and optimization processes [25][26]

Core Insights - Speedata, a startup based in Tel Aviv, has developed an Analysis Processing Unit (APU) designed to accelerate big data analytics and AI workloads, completing a $44 million Series B funding round, bringing its total funding to $114 million [2][3] - The APU architecture focuses on addressing specific bottlenecks in computational analysis tasks, differentiating itself from GPUs, which were originally designed for graphics processing [2][3] - Speedata aims for its APU to become the standard processor for data processing, similar to how GPUs have become the standard for AI training [4] Funding and Investment - The Series B funding round was led by existing investors including Walden Catalyst Ventures, 83North, Koch Disruptive Technologies, Pitango First, and Viola Ventures, along with strategic investors like Intel's CEO Lip-Bu Tan and Mellanox Technologies' co-founder Eyal Waldman [2] - Since its last funding round, the company has achieved several milestones, including the design and manufacturing of its first APU by the end of 2024 [4] Product Development and Performance - The APU is currently focused on Apache Spark workloads, with plans to support all major data analytics platforms in the future [3] - Speedata claims that its APU can complete a pharmaceutical workload in just 19 minutes, compared to 90 hours using non-specialized processors, achieving a performance improvement of 280 times [4] - The product is set to be officially launched at Databricks' Data & AI summit in the second week of June [4] Company Background - Speedata was founded in 2019 by six co-founders, some of whom were early researchers in multi-threaded coarse-grained reconfigurable architecture (CGRA) technology [3] - The founding team collaborated with ASIC design experts to address the fundamental issue of data analysis workloads being handled by general-purpose processors [3]

图片来源： Speedata 总部位于特拉维夫的初创公司 Speedata 开发了一款专为加速大数据分析和 AI 工作负载而设计的分 析处理单元 (APU) ，该公司已完成 4400 万美元的 B 轮融资， 使其融资总额达到 1.14 亿美元 。 本轮 B 轮融资由现有投资者领投，包括 Walden Catalyst Ventures 、 83North 、 Koch Disruptive Technologies 、 Pitango First 和 Viola Ventures ，以及战略投资者，如英特尔 CEO 兼 Walden Catalyst Ventures 管理合伙人陈立武（ Lip-Bu Tan ）和 Mellanox Technologies 联合创始人兼前 CEO Eyal Waldman 。 据该初创公司介绍， APU 架构专注于解决计算层面分析任务的特有瓶颈，这与图形处理单元 （ GPU ）不同—— GPU 最初为图形处理设计，后来才被改造用于 AI 和数据相关任务。 " 我们视之为将数十年芯片研究成果转化为行业数据处理方式变革的机遇， "Gelvan 表示。 据公司 CEO 透露，其 ...