Group 1 - The automotive industry has transitioned from "hardware-defined cars" to "software-defined cars," and is now entering the "AI-defined cars" era, which emphasizes the integration of intelligent cockpit and intelligent driving [1] - In the "AI-defined cars" era, vehicles will evolve into large-scale AI agents, marking a significant milestone in the application of AI in the physical world [1] - The shift from software 1.0 to software 2.0, characterized by a "data-driven" model, has fundamentally altered the software development logic, necessitating the establishment of new standards and processes in the industry [1] Group 2 - AI has significantly enhanced the performance, generalization ability, and safety of intelligent driving, bringing the industry closer to L3 and L4 level autonomous driving [2] - The industry ecosystem has transformed from a linear supply chain to a networked model, fostering deep strategic collaborations that involve capital and technology sharing [2] - As model parameters increase, the demand for low latency and low power consumption in both cloud and terminal chips has intensified, presenting substantial challenges for the industry [2]

中科创达软件股份有限公司投资者关系活动记录表 编号：2025-006 | 投资者关系活动 | 特定对象调研 | | □分析师会议 | | | --- | --- | --- | --- | --- | | 类别 | □媒体采访 | | □业绩说明会 | | | | □新闻发布会 | | □路演活动 | | | | □现场参观 | | | | | | 其他 | （走进创业板综 ETF | | 成分股公司（中科创达）活动） | | 参与单位名称及 | 博时基金 | 郭子琪 | 西部利得 | 冯皓琪 | | | 前海联合 | 李瑞龙 | 长江资管 | 汪中昊 | | 人员姓名 | 格林基金 | 刘喆 | 中金基金 | 王佳铭 | | | 创金合信 | 梁雪 | 东证融汇 | 刘俊 | | | 阳光资产 | 李曦辰 | 华源证券 | 陈嵩 | | | 兴业证券 | 陈鑫 | 上海固信 | 王竞达 | | | 中邮理财 | 许鑫岳 | 上海德汇 | 张英杰 | | | 中银基金 | 赵建忠 | 青骊投资 | 李卫 | | | 中银基金 | 张令泓 | 陆家嘴国 | 江坤 | | | 中金基金 | 高大亮 | 九泰基 ...

Summary of Zhongke Chuangda Conference Call Company Overview - Zhongke Chuangda is focusing on empowering the automotive industry through AIOS, promoting the transition of vehicles towards embodied robotics, enabling perception, decision-making, and execution capabilities through real-time human-machine interaction via onboard sensors [2][3][4]. Key Industry Insights - The integration of edge and cloud computing is driving the demand for AI Box solutions, which facilitate smooth operation of 7B models on vehicles, significantly reducing development costs and timelines [2][3][6]. - The automotive industry is transitioning from software-defined vehicles to AI-defined vehicles, with a notable growth in smart hardware across sectors like mobile, automotive, and robotics [3][4]. Core Product Developments - Zhongke Chuangda has launched an AI Box solution based on the NVIDIA platform, achieving up to 200 TOPS of AI computing power, marking it as the first edge device capable of running 7B models smoothly [2][4][6]. - The company is enhancing its capabilities in the robotics sector, particularly in autonomous mobile robots (AMR), utilizing multi-modal perception technology for precise positioning in industrial and logistics applications [2][5][7]. Strategic Partnerships - The company maintains close collaborations with chip manufacturers like NVIDIA and Qualcomm, ensuring that AIOS supports various chips and enhances product offerings [2][4][5]. - A stable partnership with Horizon is in place, focusing on core value provision around Horizon chips, promoting mutual empowerment in the development of autonomous driving technologies [8]. Visual Technology Advancements - Zhongke Chuangda has strengthened its visual technology capabilities through the acquisition of MM Solution, enabling applications across mobile, automotive, and IoT sectors [2][10]. - The company has developed a video conferencing product utilizing dual 4K cameras and AI directing algorithms, enhancing user experience through intelligent scene analysis [13]. Financial Performance and Efficiency - The improvement in expense ratios is attributed to enhanced operational and management efficiencies, allowing the company to adapt resources flexibly to seize industry opportunities [4][14][15]. - Continuous improvement in operational efficiency is a long-term goal, with a focus on optimizing expense ratios while capturing market opportunities [15]. Future Directions - Zhongke Chuangda is exploring the application of bipedal and quadrupedal robots, with a current emphasis on AMR technology, aiming to expand into more diverse applications in the future [5][7]. - The core of Zhongke Chuangda's future development is centered around its operating system (AIOS), which integrates AI capabilities and aims for comprehensive ecosystem and hardware-software fusion [20]. Additional Insights - The company is actively developing reference designs in the CRM sector to meet industry chain customer needs, ensuring rapid product delivery [18]. - In the Robot Taxi business line, Zhongke Chuangda is focused on building an overall platform, integrating AIOS and AI Box capabilities to empower customer needs [19]. This summary encapsulates the key points from the conference call, highlighting Zhongke Chuangda's strategic initiatives, product developments, partnerships, and future directions in the automotive and robotics industries.

Summary of Zhongke Chuangda Conference Call Company Overview - Zhongke Chuangda is focused on transforming automotive electronics architecture through an integrated AI framework, enhancing local data processing capabilities with AI Box, and improving human-machine interaction with its AI OS [2][3]. Key Industry Insights - The automotive industry is shifting from software-defined vehicles to AI-defined vehicles, driven by the demand for AI applications and integrated AI solutions [3][4]. - The AI Box platform, developed in collaboration with Geely and NVIDIA, supports real-time operation of a 7 billion parameter model, significantly enhancing AI capabilities in vehicles [2][4]. Core Product Features - **AI Box**: - Utilizes NVIDIA Drive AGX chip, providing 200 TOPS AI computing power and over 200 GB/s bandwidth, enabling the operation of 7 billion parameter models on the vehicle side [2][6]. - Facilitates seamless integration with in-vehicle devices through standardized open protocols, allowing for rapid support of multimodal models and multi-cloud combinations [6]. - **Dish OS**: - Transitioned to an AI-native architecture, enabling dynamic allocation of computing power and flexible model scheduling, which supports deeply integrated AI applications and seamless cloud service connectivity [5][9]. - Designed to reconstruct the interaction and service logic of smart cockpits without altering existing automotive electronic architectures [5]. Strategic Initiatives - Zhongke Chuangda employs a dual-engine strategy centered on Dish OS and AI Box, supporting comprehensive scene expansion and technological innovation [7]. - The company is also focusing on the development of IoT and mobile business sectors, benefiting from the rapid recovery trends in these areas due to the influence of edge AI [7][10]. Future Outlook - The company is optimistic about its future, particularly in domestic and international markets, leveraging its robust technology platform and ecosystem [7][10]. - Plans to expand its presence in 16 countries and regions globally, emphasizing the integration of AI and IoT in its offerings [10][12]. Emerging Technologies - The company is venturing into the robotics sector with Autonomous Mobile Robots (AMR) aimed at factory and warehouse logistics, utilizing multimodal perception technology for precise positioning and complex task handling [8]. - The AIoT platform is rapidly evolving, driven by the integration of AI technologies and the development of new products like AI glasses and AI PCs, which are closely tied to edge computing [11][12][14]. Product Development - The mobile business remains crucial, with ongoing innovations in AI smartphones that can be leveraged across various sectors, including automotive and IoT [17]. - The Turbo X AI glasses, featuring a dual-chip architecture, have significantly reduced power consumption and improved performance, setting a foundation for future developments in AI eyewear [18]. Conclusion - Zhongke Chuangda is positioned at the forefront of the automotive and IoT industries, with a strong focus on AI integration and innovative product development, indicating a promising trajectory for growth and market expansion [7][10].

Core Insights - The automotive industry is entering the "AI-defined car" era, which significantly increases the demand for computing power in vehicles [1][2] - Arm has launched the Arm Zena Compute Subsystem (CSS), a standardized and pre-integrated computing platform that can help automakers shorten development cycles by up to 12 months [1][8] - Over 10 global partners, including automakers and chip designers, are collaborating with Arm, with some having obtained technical authorization for Zena CSS [1][2] AI-Defined Cars - The current phase of AI model development is early, leading to a gradual accumulation of functionalities in automotive applications [2] - Features previously exclusive to high-end models, such as real-time driver monitoring and adaptive in-vehicle infotainment systems, are becoming standard in new models [2] - The complexity of automotive development is increasing, necessitating a modular, secure, and high-performance computing platform to meet evolving safety standards and reduce integration risks [2][4] Zena CSS Features - Zena CSS is built on the Armv9 architecture and includes 16 Cortex-A720AE cores, with scalability options allowing for configurations up to 32 cores [3][9] - Arm emphasizes the importance of software capabilities, ensuring that AI tools, workflows, and software libraries are in place to support the latest AI applications [3][4] - The Arm KleidiAI software library has been expanded to optimize the performance of large language models on Arm CPUs [3] Accelerating Time to Market - The speed of vehicle updates has increased compared to traditional fuel vehicles, making it crucial to accelerate the commercialization of new models [5][8] - Arm has introduced virtual prototyping technology to allow software developers to begin work on platforms as soon as Arm IP is released, effectively reducing development delays by two years [5][8] - Zena CSS integrates hardware and firmware components, which can reduce chip development cycles by up to 12 months and lower overall development costs by decreasing the number of engineering resources required by approximately 20% [8][9] Chiplet Architecture - The chiplet architecture is seen as a key direction for reducing costs and accelerating the update and launch of automotive chips [8][9] - Zena CSS supports chiplet architecture and provides necessary standard interfaces for customers and partners to design based on this architecture [9][12]

Summary of the Conference Call for Zhongke Chuangda Company Overview - **Company**: Zhongke Chuangda - **Industry**: AI, Automotive, IoT, Smart Hardware Key Financial Performance - **Revenue**: In the first half of 2025, the company reported revenue of 6.7 billion yuan, a slight decrease of 4.7% year-on-year [2][3] - **Net Profit**: Net profit attributable to shareholders was 158 million yuan, an increase of 51.84% year-on-year [3] - **Cash Flow**: Operating cash flow net amount was 267 million yuan, a slight decrease of 4.7% [3] Business Line Performance - **Smart Software**: Revenue of 841 million yuan, up 10.52% year-on-year [4] - **Smart Automotive**: Revenue of 1.189 billion yuan, up 7.58% year-on-year [4] - **Smart IoT**: Revenue of 1.27 billion yuan, up 136.14% year-on-year [4] - **Market Growth**: Overseas market revenue grew by 81.41%, while revenue from China increased by 12.96% [2][6] Strategic Focus - **Core Strategy**: The company adheres to an edge AI core strategy, focusing on AI-defined automotive and smart terminal industries, while expanding globally [2][7] - **Product Lines**: Established six major smart hardware product lines, including smart cameras, conference systems, and robots, in collaboration with Qualcomm [2][9] - **Automotive as a Platform**: The company views automotive as a comprehensive computing platform, integrating AI technology to build complete vehicle systems [15] Market Dynamics - **IoT Growth**: The growth in IoT revenue is driven by increased demand for Edge AI, with sustainability depending on client investments [12] - **Automotive Sector Uncertainty**: There is uncertainty regarding client investments in the automotive sector, which the company will monitor closely [13] AI and Robotics Development - **AI Robotics**: The company has significant capabilities in the automotive sector and industrial IoT, focusing on AMR (Autonomous Mobile Robots) market expansion [5][29] - **AI Glasses**: Launched a leading dual CPU architecture platform for AI glasses, indicating a significant expansion in overall solution value [17] Competitive Landscape - **Collaboration with Qualcomm**: Achieved a 14 billion parameter large model on Qualcomm's 8,775 platform, enhancing user experience through integrated navigation and real-time data [5][19] - **Partnerships**: Collaborates with various chip manufacturers, including Horizon and Huawei, to enhance automotive smart driving capabilities [33] Future Outlook - **Global Market Expansion**: The company plans to continue expanding in global markets, leveraging product and talent advantages [7][34] - **Investment in Talent**: Focus on recruiting talent in robotics and edge intelligence to support new business directions [24][25] - **Long-term Strategy**: Emphasizes strategic investments for long-term growth rather than short-term profit margins [28][27] Conclusion Zhongke Chuangda is positioned to leverage its strengths in AI, automotive, and IoT sectors, with a strong focus on global market expansion and innovative product development. The company is navigating uncertainties in the automotive sector while capitalizing on growth opportunities in smart hardware and robotics.

8月20日，吉利在AI座舱技术发布会上宣布，其全域AI技术正式落地智能座舱领域。未来，吉利将聚 焦"一个座舱"战略方向，通过统一的AI OS架构、统一的AI Agent和统一的用户ID ，实现AI座舱All in One 。作为吉利"一个座舱"战略的重要支撑，新一代AI座舱操作系统魅族Flyme Auto 2正式亮相。 基于魅族Flyme Auto过去三年的技术积累，新一代AI座舱操作系统Flyme Auto 2 ，深度融合了吉利AI OS技术框架，以更多丰富的AI体验场景，实现AI平权。此次亮相，Flyme Auto 2带来「智美新生」四大 维度的焕新升级，以HMI设计、情感化语音交互等领先功能，打造行业首个AI座舱沉浸式体验。 作为吉利"天地一体化"智能出行生态的重要一环，魅族Flyme Auto自2023年发布以来，凭借优秀交互与 流畅体验广受认可。截至今年7月，已搭载于28款车型，覆盖吉利、银河、领克等多个品牌，用户规模 达140万，成为覆盖最广、用户增速最快、最早突破百万用户的智能座舱操作系统。 吉利汽车集团副总裁李传海表示，随着多模态交互技术日益成熟，传统智能座舱正加速向全方位智能化 演进，以往的 ...

Core Insights - Arm has officially launched the Arm® Zena Compute Subsystems (CSS), which is a standardized and pre-integrated computing platform designed to significantly shorten development cycles for automotive companies, allowing them to bring new models to market at least one year earlier [1][4]. Product Overview - Arm Zena CSS integrates a range of IPs, including CPU clusters, secure islands, and secure enclaves, along with debugging features, basic I/O interfaces, power, and clock modules, delivered in RTL design package form [4]. - The system includes the latest Cortex-720AE CPU cluster and CMN S3AE interconnect technology, as well as a secure island built on the latest Cortex-R82AE [4]. Development Cycle Reduction - The introduction of Arm Zena CSS is expected to accelerate the development cycle by an additional 12 months, building on the previous two-year reduction achieved with the launch of the Cortex-A720AE and its associated cloud-based virtual prototype platform [5][7]. - Traditionally, automotive development follows a linear process, causing delays as software developers must wait for chips to be released before starting their work. The virtual prototype technology allows software development to begin on the same day as IP release [7]. Complexity Management - Arm Zena CSS aims to address the complexity of automotive chip design, which has evolved from 4-core and 8-core systems to increasing demands for 16-core and 32-core systems [7][8]. - By providing a pre-validated core computing component, Arm Zena CSS allows partners to focus on product differentiation and innovation, thus saving significant development time [4][8]. Cost Efficiency - Contrary to expectations, the overall project costs associated with using Arm Zena CSS are expected to decrease, with engineering resource requirements projected to drop by 20% based on partner case studies [9]. - The early completion of designs also contributes to cost savings, enhancing both development cost efficiency and product design efficiency [9]. Market Reception - Since its launch, Arm Zena CSS has garnered interest from over 10 global partners, including automotive manufacturers and chip designers, with some already obtaining technical licenses [9]. - The solution has been recognized within the Chinese automotive ecosystem as a significant step towards accelerating innovation and achieving cross-platform scalability [9]. Future Directions - Arm envisions a future where AI applications will proliferate in vehicles, impacting advanced driver-assistance systems (ADAS), in-vehicle infotainment (IVI) systems, and overall vehicle experience [10]. - The company aims to continuously prepare for this evolution by strengthening core foundational technologies and providing adaptable software and tools for the entire software ecosystem [10][11].

Core Insights - The article discusses the transformative impact of AI on the automotive industry, highlighting both the challenges and opportunities presented by this technological shift [1] Industry Overview - AI is redefining the automotive sector, leading to significant changes in vehicle design, manufacturing processes, and consumer interactions [1] - The integration of AI technologies is expected to enhance safety features, improve fuel efficiency, and enable autonomous driving capabilities [1] Company Implications - Companies in the automotive industry are urged to adapt to AI advancements to remain competitive and meet evolving consumer demands [1] - The article emphasizes the need for collaboration between traditional automakers and tech companies to leverage AI effectively [1]

Core Insights - China has achieved a leapfrog in electrification and is now focusing on accelerating the adoption of intelligent driving technologies, with a goal to popularize advanced driver assistance systems (ADAS) between 2025 and 2030 [1] - The global automotive industry is undergoing unprecedented changes driven by smart vehicles, with China emerging as a central battleground for smart automotive development [1][2] - Industry experts emphasize the importance of technological breakthroughs, ecosystem construction, and industrial collaboration to shape the future of the smart automotive sector [1] Industry Development Trends - The long-term strategic goals for the automotive industry include electrification, intelligence, low carbonization, and globalization, with a focus on achieving self-sufficiency in core components like electric drive systems [1] - The transition from electrification to intelligence is seen as a critical battleground, as intelligent technologies will fundamentally alter user habits and transportation methods [2] - The market share and technological competitiveness of Chinese automotive brands have significantly improved, but the differentiation in the electrification sector is diminishing, leading to increased homogeneity [2] Technological Innovations - The automotive market is expanding, with a notable increase in the adoption of domestic chips, which is accelerating the localization process [3] - Challenges remain in the industry, particularly in achieving the necessary quality and reliability standards for automotive-grade chips, which differ significantly from consumer-grade chips [3] - The shift from traditional software-defined vehicles to "AI-defined vehicles" is underway, with safety being a paramount concern [3][5] Strategic Considerations - The maturity of the industry dictates core strategies, where cost reduction becomes a priority in mature markets, while technology iteration is crucial in rapidly developing sectors [4] - Companies must balance performance and cost to achieve optimal product offerings, with a focus on the "sweet spot" for mass production that aligns software and hardware capabilities [4] - The evolving landscape of smart driving technologies necessitates continuous performance enhancements across all vehicle segments [4] Safety and Standards - Safety is the primary standard defining intelligent driving, with current safety technologies advancing along two main paths: rule-driven and data-driven approaches, each with its own limitations [5] - A proposed "cognitive-driven" approach aims to integrate human-like cognitive processes to enhance decision-making in complex traffic environments [5] - Companies like Great Wall Motors are pioneering end-to-end technology solutions to ensure safety in intelligent driving systems [6] Market Dynamics - The automotive industry is witnessing a shift towards high-performance, high-reliability microcontroller units (MCUs) designed for safety-critical applications, filling gaps in the domestic market [6] - The selection of chips by manufacturers is heavily influenced by the cost-performance ratio and core competitiveness, emphasizing the need for a return to commercial fundamentals [6]