算力需求

Search documents
中际旭创20250406
2025-04-07 05:59
中际旭创 20250406 摘要 Q&A 关税政策对中际旭创的影响及公司应对策略是什么? 公司目前正在根据相关的关税政策进行研究,特别是评估产品中镁含量是否超 过 20%。如果符合要求,公司将提交关税豁免申请。公司也在密切关注海外客 户的反应,目前客户没有调整需求或改变现有贸易条款。此外,公司已具备在 泰国厂全面生产和出货光伏产品的能力。 这种情况是不成立的。即使将产品从泰国运到新加坡,再由新加坡出口到美国, 原产地仍然是泰国。关税是根据原产地征收的,而不是根据中转地。因此,通 过新加坡进行转口贸易并不能规避关税。 • 中际旭创已具备泰国工厂全面生产和出货光伏产品的能力,有效规避美国 加征关税对上游高端光芯片采购的影响,所有芯片可直接发往泰国工厂生 产。 • 尽管芯片供应整体仍然紧张,但随着硅光产品产量逐步提升,预计 2025 年 二季度起供应情况将有所缓解,下半年 EML 芯片的紧张状况有望进一步改 善。 • 中际旭创的 1.6T 产品预计在 2025 年二季度出货量将高于一季度,但大规 模放量预计在下半年。整体需求相较去年下半年有所减少,主要原因是客 户需求有所延迟。 • 针对进口芯片用于海外客户,中际旭 ...
中美AI叙事和背后的算力逻辑
雪球· 2025-04-04 03:16
Core Viewpoints - The article discusses the differences in AI narratives and computational needs between China and North America, highlighting China's focus on practical applications and cost-effectiveness in AI deployment, while North America aims for advanced models and AGI [1][2][3]. China AI Narrative - China's AI narrative emphasizes the democratization of AI through open-source models and the development of smaller distilled models for edge applications, leading to widespread implementation [1]. - The focus is on practical applications that do not necessarily require high-end GPUs, with companies leveraging existing infrastructure to achieve rapid deployment and monetization [3][4]. China Computational Needs - The article suggests that for many AI applications, especially those that are not highly complex, existing Chinese chips like H20 and domestic ASICs are sufficient [4]. - There is a discussion on the potential of using simpler architectures, such as FPGA combined with RISC-V, for edge AI applications [4]. North America AI Narrative - North America's AI narrative continues to push for breakthroughs towards AGI, with a focus on multimodal high-order models and trillion-parameter models [2]. - The article notes that the progress in North America is slower compared to China, leading to skepticism about the necessity of high-end NVIDIA chips in certain applications [3][9]. North America Computational Needs - High-end NVIDIA GPUs are still in high demand, particularly for applications requiring high concurrency and real-time generation, such as multimodal AI applications [5][6]. - The need for advanced chips is emphasized for training large models and applications in fields like AI for science, where low latency is critical [7][8]. Key Comparisons - The article highlights that while China is achieving rapid results with lower-cost solutions, North America may face challenges in meeting the demands of high-performance applications without high-end GPUs [3][9]. - The potential of DS's AI infrastructure capabilities is noted as a variable that could impact the reliance on NVIDIA chips in the future [10].
中信建投证券2025年度-人工智能-投资策略会
2025-02-26 16:22
Summary of Key Points from the Conference Call Industry Overview - The conference focused on the **Artificial Intelligence (AI)** and **robotics** industry, particularly the advancements in humanoid robots and their market potential [1][4][11]. Core Insights and Arguments 1. **Rapid Iteration of AI Performance**: The emergence of large models and improvements in training algorithms have led to rapid iterations in AI performance, akin to Moore's Law, enhancing learning and adaptability [1][3]. 2. **Embodied Intelligence**: A significant direction in AI development is embodied intelligence, which involves interaction with the physical world for perception and decision-making. Humanoid robots are key carriers of this intelligence, with potential market sizes surpassing automotive and consumer electronics [1][4]. 3. **Advancements in Robotics Technology**: Recent progress in robotics includes faster model iterations and expanded application scenarios, laying a foundation for market growth [1][7]. 4. **Dual-System Architecture**: The application of dual-system architecture in humanoid robots has improved action fluidity and training efficiency, enabling better adaptability to new objects through zero-shot learning capabilities [1][8][9]. 5. **Market Dynamics**: The humanoid robot industry is characterized by intense competition, with various companies making strides in human-robot interaction and training, while supply chain costs are rapidly decreasing, accelerating commercialization [1][11][12]. Additional Important Insights 1. **Impact of AI on Smart Manufacturing**: AI's rapid development has profound implications for the smart manufacturing sector, necessitating higher efficiency in data center infrastructure due to increased computational demands [2]. 2. **Commercialization of AI**: The year 2025 is expected to see accelerated commercialization of AI, with a shift from pre-training to reasoning models, driving rapid growth in computational power demand [40][41]. 3. **Cost Reduction in Supply Chains**: The decline in component prices, with some key parts dropping to around 1,000 RMB, is facilitating earlier-than-expected large-scale production in the humanoid robot sector [12][13]. 4. **Future Market Potential**: The humanoid robot market is projected to grow significantly, with mass production leading to lower prices, making it feasible for households to own humanoid robots [4][13]. 5. **Collaboration and Empowerment**: Companies are increasingly collaborating with those possessing large model capabilities to enhance automation and intelligence in their products [4]. Companies to Watch - Notable companies in the humanoid robot space include **Tesla**, **EX**, **Zhiyuan Robotics**, and **UBTECH**, all of which have plans for mass production [4][19]. - **Huichuan Technology** and **Estun** are also highlighted for their transitions into humanoid robotics [19]. Investment Opportunities - Beyond humanoid robots, investment opportunities in the **engineering machinery sector** are emphasized, particularly companies leveraging AI for enhanced capabilities [20]. Conclusion The conference highlighted the transformative potential of AI and robotics, particularly in the humanoid robot sector, with significant advancements in technology, market dynamics, and investment opportunities anticipated in the coming years.