[Table_Title] 低空经济快速发展，工程机械景气度向 [Table_Main] 行业研究|工业 证券研究报告 工业行业周报、月报 2025 年 05 月 27 日 好 ——机械行业周报 [Table_Summary] 报告要点： 周度行情回顾 2025 年 5 月 18 日至 5 月 23 日，上证综指下跌 0.57%，深证成指下 跌 0.46%，创业板指下跌 0.88%。其中申万机械设备下跌 2.48%，相 较沪深 300 指数跑输 2.30pct，在 31 个申万一级行业中排名第 30。 细分子行业来看，申万通用设备/专用设备/轨交设备Ⅱ/工程机械/自动 化设备分别涨跌-3.44%/-0.86%/-0.64%/-2.17%/-3.85%。 重点板块跟踪 低空经济板块：低空经济行业快速发展，呈现出"政策逐步完善、技 术密集突破、产业深度协同"的发展态势。政策端，苏州、成都、重 庆等多地加速推进低空经济专项政策，同时将低空经济与新消费深度 绑定，助力低空经济发展与应用落地。技术端，"彩虹-YH1000"无人 物流机成功完成首飞，驼峰 500HS 纵列式重载无人直升机全球首发， 沃兰特航空首架 VE2 ...

Core Insights - NVIDIA's CEO Jensen Huang presented a grand vision for the future of artificial intelligence (AI) at Computex 2025, showcasing new products and technology plans aimed at reshaping the tech ecosystem from cloud to edge and virtual to reality [1] - Huang emphasized that NVIDIA is transitioning from being a tech company to a crucial AI infrastructure company, defining its operations as an "AI factory" that produces valuable outputs known as tokens [2][3] - The chip industry is valued at $300 billion, while the data center opportunity is evolving into a nearly $1 trillion market, driven by the concept of "AI factories" and infrastructure [5] Product Launches - NVIDIA introduced the RTX 5060 GPU and a new MSI laptop equipped with it, set to launch in May [5] - The company announced the Grace Blackwell GB300 system, designed for AI inference performance, featuring 72 NVIDIA Blackwell Ultra GPUs and 36 ARM-based Grace CPUs, with significant performance improvements [7][8] - The new RTX Pro AI platform was launched for enterprises, offering 30 PFLOPS AI computing power and supporting complex AI model training and inference tasks [9] Strategic Developments - NVIDIA is establishing a new headquarters in Taipei, Taiwan, symbolizing its commitment to building a global AI ecosystem [12] - Huang highlighted the importance of robotics in the future of AI, stating that all mobile devices will become robots, leading to an industrial revolution [12][14] - The company is investing in a robot simulation training platform, Isaac GR00T, and has partnered with various companies to advance its integrated hardware and software strategy [14]

Group 1: Company Listings and Financial Performance - Fuwai Group Limited has submitted a listing application to the Hong Kong Stock Exchange, with Morgan Stanley and Goldman Sachs as joint sponsors [1] - EHang Intelligent, a producer of electric vertical takeoff and landing (eVTOL) aircraft, is considering a secondary listing outside the United States [2] - Ctrip Group reported a net revenue of 13.8 billion yuan for Q1 2025, with inbound travel orders increasing by approximately 100% year-on-year [15] Group 2: Technological Developments - Xiaomi is set to launch its self-developed 3nm process mobile processor chip "Xuanjie O1" by the end of May, becoming the fourth company globally to do so [3] - Nvidia announced the full production of its personal AI computer DGX Spark and plans to open-source the physics engine Newton [13] - Huawei launched its first HarmonyOS foldable laptop, priced starting at 23,999 yuan [17] Group 3: Corporate Changes and Investments - Nissan is considering closing several factories in Japan and overseas as part of its cost-cutting measures [7] - "Yingwei Chip Technology" has secured several million yuan in angel round financing to accelerate the industrialization of its wafer-level heterogeneous integration technology [19] - Hangzhou Yihui Technology Co., Ltd. completed a pre-A round financing of several tens of millions, led by Jilu Asset [21] Group 4: Market Trends and Economic Indicators - The domestic prices of gasoline and diesel will decrease by 230 yuan and 220 yuan per ton, respectively, effective from May 19, 2025 [10] - The price of gold in retail markets has dropped from 792 yuan per gram to 756 yuan per gram, a decline of over 4% [5]

更多AIGC资讯 …… 扫码订阅 AIGC 产业日报， 精选行业新闻，帮你省时间！ 1.【英伟达：计划于7月开源全球最先进的物理引擎Newton】英伟达CEO黄仁勋表示，在物理世界中 制造机器人"不切实际"，我们必须在遵循物理定律的虚拟世界中训练它们。我们与DeepMind和 Disney Research研究合作开发了全球最先进的物理引擎Newton，计划于七月开源。Newton完全支 持GPU加速，具有高度可微性和超实时操作能力，能够通过经验实现有效学习。我们正在将该物理引 擎整合进Nvidia的ISAAC模拟器，这一整合使我们能够以真实的方式让这些机器人"活"起来。（新浪 财经） 2.【腾讯上线AI浏览器，灰度测试Agent功能】腾讯QQ浏览器升级为AI浏览器，全新推出QBot，搭 载腾讯混元和DeepSeek双模型，目前涵盖AI搜索、AI浏览、AI办公、AI学习、AI写作五大功能，还 能调用Agent执行复杂任务，首批正在灰度的Agent包括行业首个高考Agent"AI高考通"、下载助 理、更新助理、股票助理。（财联社） 3.【微软正在开发新"租户Copilot"服务，计划建立"Agent工厂"】根据 ...

Market News - The three major US stock indices experienced slight gains, with the Dow Jones up 0.32%, Nasdaq up 0.02%, and S&P 500 up 0.09%. Major tech stocks mostly rose, with Microsoft up over 1%, while Apple and Tesla fell over 1% and 2% respectively [1] - International oil prices strengthened, with WTI crude oil closing at $62.15 per barrel, and Brent crude at $65.52 per barrel. Gold prices rebounded, with spot gold up 0.86% to $3229.21 per ounce [1] Industry Insights - Baode Computer System Co., a leading provider of computing products in China, is set to be acquired by Huibo Yuntong through a share issuance and cash payment for 67.91% of Baode's shares. Baode is a top player in the information technology infrastructure sector, focusing on advanced computing infrastructure products and integrated solutions [3] - Huawei launched its first personal computers using the Harmony operating system, marking a significant breakthrough for domestic operating systems in the PC sector. The new products include the Huawei MateBook Fold and Huawei MateBook Pro, aimed at enriching the Harmony ecosystem [4] - Nvidia's CEO announced the development of the advanced physics engine Newton in collaboration with DeepMind and Disney Research, which will be open-sourced in July. This engine supports GPU acceleration and is being integrated into Nvidia's ISAAC simulator, highlighting the growing market opportunities in AI-driven infrastructure [6]

每经记者｜杨建 每经编辑｜肖芮冬 ｜2025年5月20日 星期二｜ NO.1 鸿蒙电脑正式发布，国产操作系统在个人电脑领域实现重要突破 5月19日，首次应用鸿蒙操作系统的个人电脑在成都正式发布，这标志着国产操作系统在个人电脑领域 实现重要突破。发布会上，华为连发两款鸿蒙电脑，包括首款鸿蒙折叠电脑华为MateBook Fold非凡大 师与华为MateBook Pro。另外，华为还面向企业级市场发布鸿蒙电脑华为擎云HM940。华为擎云 HM940搭载系统级AI助手"小艺"，支持文案生成等；华为自研的云隼架构，保障强度的同时，轻至 970g薄至13.5mm，搭配OLED原色屏及企业级解决方案。 NO.2 外汇局：4月下旬外资投资境内股票转为净买入 国家统计局新闻发言人付凌晖5月19日在国新办发布会上说，高技术产业和新兴服务业发展向好。4月 份，规模以上高技术制造业增加值增长10%，快于全部规模以上工业3.9个百分点。1-3月份，规模以上 战略性新兴服务业企业营业收入同比增长8.3%，保持较快增长。智能化、绿色化转型加快，4月份智能 无人飞行器制造业增加值增长74.2%，新能源汽车产量增长38.9%。人工智能大模型、 ...

Group 1: OpenAI and G42 Data Center - OpenAI collaborates with G42 to build a 5 GW data center in Abu Dhabi, covering 10 square miles, larger than Monaco [1] - The project is part of the "Stargate" initiative, consuming power equivalent to five nuclear power plants, and is four times the size of the Texas Abilene facility [1] - G42 withdrew its investments in China due to U.S. concerns over its ties with Chinese entities, while Microsoft invested $1.5 billion and placed executives on G42's board [1] Group 2: NVIDIA's New Technologies - NVIDIA launched the new Grace Blackwell GB300 system, enhancing performance and allowing 72 GPUs to connect as a single giant GPU via MVLink technology [2] - The MVLink Fusion plan enables partners to integrate custom ASICs or CPUs into the NVIDIA ecosystem, supporting semi-custom AI infrastructure [2] - The Isaac GR00T platform and Cosmos physical AI model were introduced to strengthen robotics and digital twin technologies, with the Newton physics engine set to be open-sourced in July [2] Group 3: Huawei's Innovations - Huawei's Ascend introduced the CloudMatrix 384 super node and Atlas 800I A2 server, surpassing NVIDIA's Hopper architecture in DeepSeek model inference performance [3] - The "mathematics compensating for physics" strategy, utilizing FlashComm communication and AMLA algorithms, addresses challenges in deploying large-scale MoE models [3] - The CloudMatrix 384 super node achieves a throughput of 1920 Tokens/s at 50ms latency, while the Atlas 800I A2 reaches 808 Tokens/s at 100ms latency, with plans for open-sourcing related technologies [3] Group 4: Tencent's New QQ Browser - Tencent released a new version of the QQ browser, integrating QBot functionality, driven by Tencent's mixed Yuan and DeepSeek dual model, capable of extracting and organizing answers from the internet [4][5] - Key features include AI search, multimodal interaction, document interpretation and translation, intelligent writing, and learning assistance, with support for PC and mobile synchronization [5] - An AI toolbox is provided, including format conversion, information extraction, and document processing functions, operable without additional plugins directly in the browser [5] Group 5: Bilibili's AniSora Model - Bilibili open-sourced the animation video generation model Index-AniSora, supporting various anime-style video generation, selected for IJCAI25, and capable of efficient distributed training on Huawei's 910B chip [6] - The system includes two versions: V1.0 based on CogVideoX-5B and V2.0 based on Wan2.1-14B, supporting spatiotemporal masking and local control, covering 80-90% of application scenarios [6] - A dataset of tens of millions of text-video training data was built, and the first human preference reinforcement learning model in the animation field was open-sourced, containing 30,000 labeled samples [6] Group 6: Apple's Matrix3D Model - Apple, in collaboration with Nanjing University, released the Matrix3D model, which generates high-quality 3D scene models from just three photos and has been open-sourced [7] - Apple's leadership is pushing Siri to transition towards a ChatGPT-like model, with internal tests showing the chatbot nearing ChatGPT's capabilities, planning to add web search and app invocation features [7] - The company is cautiously handling Siri's upgrade strategy to avoid premature feature announcements and is considering separating Siri from the Apple Intelligence brand to mitigate negative impacts [7] Group 7: GenSpark's Agentic AI - GenSpark launched the world's first AI download agent tool, Agentic Download Agent, enabling file download and processing automation through natural language commands [8] - Utilizing a Mixture-of-Agents architecture, it integrates eight different scale language models and over 80 toolchains, reducing traditional time-consuming tasks to minutes [8] - An AI Drive smart cloud disk was introduced, supporting various digital asset formats and allowing secondary analysis of downloaded files, with an open API for enterprise system integration [8] Group 8: Granola's AI Note-Taking Product - Granola achieved a valuation of $250 million after completing Series B funding, becoming a preferred note-taking tool for founders and executives through its efficient personalized AI meeting recording feature [10] - The product's core advantage lies in empowering users with control, supporting real-time editing and personalized recording while protecting privacy by not saving audio [10] - The founder believes the key to AI tools is to enhance rather than replace human capabilities, with plans to evolve from a single note-taking tool to a comprehensive work platform integrating personal context [10] Group 9: Robotics Competition Achievements - The first ManiSkill-ViTac 2025 tactile-visual fusion challenge concluded, with Chinese teams winning three gold medals, to be reported at the ICRA 2025 conference [11] - The company Dexmal won gold in pure tactile control and tactile sensor design, improving success rates by 2-3 times through a dual paradigm learning framework, while another company won gold in visual-tactile control [11] - This event is the first public competition combining visual and tactile elements, promoting advancements in tactile-visual fusion algorithms and bridging the gap between laboratory research and real-world applications [11] Group 10: GitHub's Stance on Programming - GitHub CEO Thomas Domke countered the "programming is useless" argument, emphasizing that 2025 will be the year of programming agents, while human programmers will still be needed to manage the software lifecycle [12] - GitHub has released multiple SWE agent products, with Copilot users reaching 15 million, a fourfold increase, and plans to advance multi-agent "band mode" [12] - GitHub asserts that AI should serve as a high-level developer assistant, advocating for continuous learning in programming to maintain guidance and control over AI systems [12]

Core Viewpoint - Nvidia is transitioning from a technology company to an AI infrastructure company, marking the beginning of a new era of AI factories that utilize energy as input and produce tokens as output, representing a third infrastructure revolution following electricity and the internet [3][2]. Group 1: AI Infrastructure and Chip Platforms - Nvidia introduced the Grace Blackwell GB200 chip and NVLink architecture, which features a core interconnect module with a bandwidth of 130 TB/s, surpassing the entire internet's data throughput [4]. - The GB200 chip integrates 72 GPUs and is designed to perform at the level of the 2018 Sierra supercomputer [4]. - Nvidia plans to launch the GB300 chip in Q3, which will enhance inference performance by 1.5 times, increase HBM memory by 1.5 times, and double network bandwidth while maintaining physical compatibility with the previous generation [6]. Group 2: NVLink Fusion and Ecosystem - The NVLink Fusion architecture allows seamless integration of CPUs/ASICs/TPUs from other manufacturers with Nvidia GPUs, enabling a "semi-custom infrastructure" [8]. - This technology addresses communication speed issues between GPUs and CPUs in AI servers, providing up to 14 times the bandwidth compared to standard PCIe interfaces, thus enhancing scalability and energy efficiency [10]. Group 3: Personal Supercomputing and Enterprise AI - The DGX Spark personal AI computer is set to launch soon, targeting AI researchers who wish to own their supercomputers [12]. - Nvidia's RTX Pro enterprise AI server supports traditional IT workloads and can run graphical AI agents, indicating a shift towards integrating AI into the workforce [14]. Group 4: Robotics and AI Applications - Nvidia is developing robotic systems alongside the automotive industry, utilizing the Isaac Groot platform powered by the Jetson Thor processor, aimed at applications from autonomous vehicles to human-machine systems [18]. - The company believes that robotics will become a trillion-dollar industry, emphasizing the need for scalable solutions [22]. - Nvidia is collaborating with DeepMind and Disney Research to develop the advanced physics engine Newton, which will be open-sourced in July [23].

Core Insights - The CEO of Nvidia, Jensen Huang, envisions AI becoming an essential part of daily life, akin to the internet and electricity, emphasizing the need for ubiquitous AI infrastructure in the future [3][4] - Nvidia is positioning itself not just as a tech company but as a crucial infrastructure provider for AI, with the AI chip market valued at $300 billion and data center opportunities approaching a trillion dollars [3][4] Group 1: AI Infrastructure and Future Vision - Huang expressed that AI will be integrated into every sector and region, highlighting the necessity of AI in factories and companies [3] - The value of the chip industry is currently at $300 billion, with data center opportunities projected to grow into a nearly $1 trillion market driven by AI [3][4] Group 2: DeepSeek and Technological Advancements - Huang praised DeepSeek-R1 for its groundbreaking performance, stating it has quadrupled computational capabilities compared to leading competitors [4] - Nvidia is collaborating with Google’s DeepMind and Disney Research to develop an advanced physics engine called Newton, which will be open-sourced in July [4] Group 3: New Product Launches - Nvidia introduced several new AI hardware and software products, including the upcoming GB300 system and desktop DGX Spark AI workstations [6] - The GB Superchip has entered full production, with deliveries starting in February, and the GB300 hardware system is set to launch in Q3 of this year [6][9] Group 4: NVLink Fusion Technology - NVLink Fusion, a new interconnect technology, will now be available to other chip manufacturers, enhancing flexibility for data center operators [7][8] - This technology allows customers to customize their AI infrastructure while keeping Nvidia at the center of their operations [8] Group 5: Automotive Industry Focus - Nvidia is advancing its efforts in the automotive sector, utilizing the Isaac Groot platform for robotic systems, which is powered by the Jetson Thor processor [10] - The company is applying its AI models to autonomous vehicles, partnering with Mercedes to deploy a fleet using Nvidia's end-to-end autonomous driving technology this year [10]

Core Insights - NVIDIA's CEO Jensen Huang presented a vision of the emerging AI Factory era, emphasizing the transformation of data centers into AI factories that produce "Tokens" from energy inputs, marking a third infrastructure revolution following electricity and the internet [1][4]. Group 1: AI Infrastructure and Chip Innovations - The introduction of the Grace Blackwell GB200 chip and NVLink Spine architecture, which boasts a data throughput greater than the entire internet, highlights NVIDIA's advancements in AI infrastructure [2][4]. - The upcoming GB300 chip is set to enhance inference performance by 1.5 times, increase HBM memory by 1.5 times, and double network bandwidth while maintaining physical compatibility with previous generations [4]. - NVLink Fusion allows seamless integration of various CPUs and AI accelerators with NVIDIA GPUs, significantly improving communication speed and scalability, offering up to 14 times the bandwidth compared to standard PCIe interfaces [6]. Group 2: Personal Supercomputing and Enterprise AI - The DGX Spark personal AI supercomputer is now in production, aimed at AI researchers wanting their own supercomputing capabilities, with a promise of accessibility for consumers [7]. - The RTX Pro enterprise AI server supports traditional IT workloads and introduces Agentic AI, which will become part of the workforce, necessitating new HR roles to manage these AI employees [9]. Group 3: AI Storage and Robotics - NVIDIA is developing a new AI storage architecture that incorporates GPUs for semantic understanding of unstructured data, collaborating with major companies for enterprise-level deployment [10]. - Huang predicts that robotics will evolve into a trillion-dollar industry, with NVIDIA's Isaac platform driving advancements in autonomous vehicles and human-robot systems [11][13]. Group 4: Advanced AI Technologies - The launch of the Newton physics engine, developed in collaboration with DeepMind and Disney Research, is set to enhance robotic capabilities through GPU acceleration and real-time operations, with plans for open-sourcing in July [14].