2026未来产业新材料博览会 （FINE），围绕机器人、汽车、无人机、数据中心、航空航天、AI、新能源等产 业共性需求，特设6大展区， N5 轻量化高强度与可持续材料展区 聚焦碳纤维/芳纶/复合材 料/改性塑料/发泡材料/3D打印/合金......等 ， 欢迎咨询： 18957804107 【DT新材料】 获悉，据红星新闻，德国品牌 大众汽车 将在本周内关闭其位于德国东部德累斯顿的工厂。这是大众汽车自创立88年以来，首次关闭德国本土的工 厂。 据报道，最后一辆汽车将于当地时间12月16日驶出德累斯顿工厂。而这距离该工厂开业仅过去了20多年。 关于工厂关闭后的去向，报道指出，相关场地和设施将租赁给德累斯顿工业大学。 未来，这里将不再生产汽车，而是转型为人工智能（AI）、机器人和芯片开发 的"研究园区"，同时还将继续作为一个旅游景点向公众开放。 大众汽车关闭德国本土工厂的消息最早于去年9月份传出。当地时间9月2日，大众汽车发表声明称， 欧洲汽车行业正处于非常苛刻和严峻的形势中，经济环境变 得更加艰难，新的竞争对手也正进入欧洲市场。面对来自传统的欧洲竞争对手以及中国汽车制造商带来的激烈竞争 ，大众汽车所有品牌都需要 ...

辉腾停产后，大众集团投资2000万欧元对德累斯顿工厂进行改造，2017年开始投产纯电车型e-Golf。彼时，大众集团的Bulli概念车、XL1以及大众 Sedric无人驾驶概念车也在德累斯顿工厂进行展示。2020年底，德累斯顿工厂停产e-Golf，并于2021年开始生产替代产品ID.3。不过，ID.系列车型在德国 的主要生产基地是茨维考工厂，2022年德累斯顿工厂的ID.3产量仅为6500辆。2023年曾有消息传出，大众集团计划停止在德累斯顿工厂生产ID.3。 据《金融时报》等多家外媒报道，德国大众集团于12月16日起正式停止德国德累斯顿工厂的整车生产业务。这意味着，这家拥有88年历史的汽车巨 头，史上首次关停德国本土工厂，原因包括中国和欧洲的需求下降，以及美国关税的影响等，多重不利因素共同促成了此次德累斯顿工厂的停产。 ■"透明工厂"走向终结 据悉，这座通体由玻璃构筑的德累斯顿工厂，自 2002 年投产以来便以"可视化生产"成为城市地标和网红工厂，最初专为高端车型辉腾打造。彼时担 任大众集团CEO的费迪南德·皮耶希认为集团旗下的高端品牌奥迪仍无法和奔驰、宝马竞争，辉腾作为其远大愿景的产物被推出。为此，大众集 ...

Core Viewpoint - The company WanTong ZhiKong has completed the chip development and design phase and is preparing for tape-out, with plans to engage in joint development for companion robots starting in November 2023 [2] Group 1: Chip Development and Production Plans - The company expects to begin sample delivery to main engine manufacturers in December 2023, aiming for mass production capabilities by May to June 2024 [2] - Target customers for the chips include vehicle manufacturers and robotics companies, with a goal to gradually enter the market by mid-2026 [2] Group 2: Investment and Strategic Partnerships - To strengthen its partnership with ShenMingAoSi, the company has invested 30 million RMB, acquiring a 5.66% stake in the firm [2]

Core Viewpoint - The company, Wantong Intelligent Control, reported strong financial performance for the first three quarters of 2025, with significant year-on-year growth in revenue and net profit, despite facing challenges in certain business segments due to the international economic environment [2][7]. Financial Performance - For the first nine months of 2025, the company achieved revenue of 897 million yuan, a year-on-year increase of 11.87%, and a net profit attributable to shareholders of 127 million yuan, up 50.05% [2][7]. - In the third quarter of 2025, the company recorded revenue of 302 million yuan, representing a year-on-year growth of 19.97%, and a net profit of 32.34 million yuan, which is a 33.65% increase compared to the same period last year [2][7]. - The company's gross profit margin stood at 34.18%, with a debt ratio of 17.72% [7]. Business Segments - The metal hose segment experienced a decline in both year-on-year and quarter-on-quarter performance due to negative impacts from the international economic environment [2]. - The sensor and digital information control system segments saw year-on-year growth, although the quarter-on-quarter growth rate slowed down [2]. - The tire valve business remained stable overall [2]. NLP Business Outlook - The company maintains an optimistic outlook for its NLP products, primarily driven by orders from commercial vehicle fleets in the U.S. [3]. - There are plans to explore the development of a fleet management system based on the new reasoning chip, which will enhance the capabilities of tire pressure monitoring systems [3]. Collaboration with DeepMind - The partnership with DeepMind is based on leveraging each other's strengths, with DeepMind focusing on chip design and development, while Wantong Intelligent Control will handle board manufacturing and sales [4][6]. - Wantong Intelligent Control has invested 30 million yuan in DeepMind, acquiring a 5.66% stake, to deepen the collaboration [6]. Future Development Plans - The chip development is nearing completion, with plans to begin sample development for main vehicle manufacturers by December 2025, aiming for mass production by mid-2026 [6]. - The company is also exploring a collaborative model involving Zhejiang University to create a closed industrial chain [6].

Core Viewpoint - Elon Musk revealed new details about Tesla's upcoming AI5 and AI6 chips, claiming they will set new benchmarks for automotive and broader AI computing performance [1][2]. Group 1: AI Chip Development - Tesla has consolidated its chip roadmap from two architectures to one, focusing all silicon talent on creating an incredible chip [1]. - The AI5 chip is expected to be the best inference chip for models with fewer than approximately 250 billion parameters, offering unmatched cost-effectiveness and performance per watt [2]. - The AI5 chip will be manufactured by TSMC, with production expected to start by the end of 2026 [4]. Group 2: Dojo Supercomputer Closure - Tesla officially abandoned its Dojo supercomputer platform, redirecting all chip resources to AI5 and AI6 [1][5]. - The Dojo project faced significant challenges and was ultimately deemed a "dead end" by Musk, leading to its closure and the dissolution of the team behind it [6][8]. - Analysts noted that losing key talent from the Dojo project could derail future initiatives, especially in highly specialized internal technology projects [8]. Group 3: Strategic Shift - The closure of Dojo is viewed by some as a strategic pivot from high-risk, self-sufficient hardware development to a streamlined approach relying on partnerships for chip development [7][8]. - Tesla has signed a $16.5 billion agreement with Samsung to produce the AI6 chip starting in 2026, indicating a shift in focus towards collaboration [4][8]. - Musk emphasized that Tesla is positioning itself as an AI company, not just an automotive manufacturer, aiming to leverage AI for various applications [8]. Group 4: Future Prospects - The AI6 chip is anticipated to power Tesla's Full Self-Driving (FSD) and Optimus humanoid robot, as well as provide high-performance AI training for data centers [8][15]. - Tesla's strategy includes developing its own chips to reduce reliance on Nvidia and other suppliers, which have become increasingly expensive [15][16]. - The potential for Tesla to generate new revenue streams through AI services and software is highlighted, with estimates suggesting a possible increase in market value by $500 billion [16].

Core Viewpoint - Elon Musk's generative AI company xAI is actively recruiting custom silicon developers to design next-generation AI systems, indicating a strategic focus on hardware innovation and efficiency in AI applications [4][6][10]. Group 1: Recruitment and Job Description - xAI is seeking employees to collaboratively design AI systems that encompass everything from silicon chips to software compilers and models [6]. - The job involves designing and improving new hardware architectures to enhance computational efficiency, utilizing AI in the hardware design process [7]. - Candidates are expected to be familiar with accelerator-friendly hardware design languages such as Chisel, VHDL, and Verilog, and should ideally have experience simulating training workloads on new AI hardware architectures [8][9]. Group 2: Team and Leadership - The xAI team, led by Sun Xiao, aims to achieve breakthroughs in efficiency and scalability for next-generation AI systems through innovative hardware, compilers, and models [10]. - Sun Xiao has a background in developing machine learning hardware and algorithms at IBM and has previously worked at Meta [10]. Group 3: Hardware Development Context - It remains unclear if xAI is collaborating with other companies for chip development, although similar companies like Google and OpenAI have partnered with Broadcom for their AI chip projects [11]. - Tesla, another Musk company, has developed its own chips focused on processing video data for semi-autonomous vehicles, but the future development of these chips is uncertain due to team changes [12]. Group 4: Infrastructure and Expansion Plans - xAI has deployed over 200,000 GPUs in its Colossus supercomputer located in Memphis, with plans to expand this number to 1 million [12]. - xAI has also purchased land for a second data center in Memphis, indicating a commitment to scaling its infrastructure [12].