不过，OpenAI的入驻也引发韩国本土AI业界的警惕。韩国移动应用分析公司WiseApp Retail发布的市场 监测数据显示，ChatGPT在韩国生成式AI应用市场占有率已达72.6%，领先于本土平台，如wrtn （10.2%）和SK电讯的AI助理Adot（6.5%）。部分企业担心"主权AI"战略受到冲击，韩国AI生态系统被 外资企业边缘化。 对此，杰森·权表示，OpenAI坚持"本地优先"原则，与韩国开发者、初创企业和研究机构协作，推进在 地化研发，支持韩国构建独有的AI技术体系。 【环球时报驻韩国特约记者 黎枳银】美国人工智能（AI）公司OpenAI首席战略官杰森·权26日在首尔举 行记者会，宣布将在首尔设立法人实体"OpenAI Korea"，正式"进军"韩国市场。 作为全球ChatGPT用户最为活跃的国家之一，韩国近年来在生成式AI领域增长迅猛。据OpenAI统计， 韩国ChatGPT的周活跃用户数在过去一年内增长4.5倍，付费用户规模居全球第二，仅次于美国。首尔 因此被选为OpenAI全球第12个、亚洲第3个分支机构所在地，前两个在东京和新加坡。据悉，OpenAI曾 在去年下半年考虑开设首尔办事处 ...

Key Insights - The report highlights a significant increase in China's inverter exports in April 2025, with an export value of 5.82 billion, representing a month-on-month growth of 28.0% and a quantity of 4.5292 million units, up 21.4% from the previous month [3] - The average export price of inverters rose to 1,284 yuan per unit, marking a month-on-month increase of 5.5% [3] - The demand growth is attributed to the onset of the summer peak season for household storage and accelerated overseas large-scale storage construction [3] - The report emphasizes the long-term drivers of demand, including power outages, rising electricity prices, and significant growth in wind and solar installations, indicating a shift in inverter demand towards emerging markets [3] - The report recommends companies such as Deye Technology, Sungrow Power Supply, and Sunshine Power for their potential in the inverter market [3] Industry Overview - The macroeconomic context suggests that the Chinese yuan may have upward momentum against the US dollar, driven by structural rebalancing in global asset allocation and diminishing depreciation expectations for the yuan [2] - The report notes that the US has adjusted tariffs on imports, which has implications for global trade dynamics and may affect the competitiveness of Chinese exports [2] - The report also discusses the ongoing trends in the logistics and e-commerce sectors, highlighting a continued focus on price competition and volume growth in the express delivery market, with a year-on-year increase in express delivery volume of 19.1% in April [7] - In the consumer electronics sector, the report indicates strong sales growth for robotic vacuum cleaners and floor washers, driven by promotional activities and consumer demand, with sales volume for robotic vacuum cleaners increasing by 74.49% year-on-year in April [8]

如果您希望可以时常见面，欢迎标星收藏哦~ 来源：内容来自 digitimes ，谢谢 。 半导体已成「国安战略物资」，主权AI日益重要，各国激烈竞逐。遭美国等大国锁定的台积电， 近期已确立在台湾、美国、日本和德国的未来扩产蓝图。然据供应链透露，至今欲与台积合作的国 家仍多，包括印度、新加坡与中东的卡达，然而，台积电已经婉拒这三个国家的设厂邀约。 对台积电而言，台湾是最完美的生产据点，海外建厂是逼不得已的决定，最终选择美、日、德，主 要还是大国压力巨大，以及考量这三个国家在设备、材料与IC设计等半导体产业链中拥有领先实 力，且在分身乏术与全球产能调配必须控制，避免供过于求下，因此婉拒其他国家邀约。 据供应链业者透露，中东多国可说是诚意满满，只要台积愿意前往设厂，「钱不是问题」。 但对台积来说，除了国安与复杂政治问题外，中东在半导体领域部署几乎是零，台积电为了美国、 日本与德国扩产，台湾团队与供应链已全员出动，目前人力缺口仍相当大，已无法再筹建一支团 队，助力他国建置半导体聚落与长期营运。 关键更在于，中东国家期望的是先进制程产能，而非成熟制程技术。 不过近期随着中东国家对于AI、半导体产业发展企图心强劲，台积电 ...

Core Viewpoint - Nvidia is actively pursuing a diversification strategy to reduce its reliance on major tech giants like Microsoft, Amazon, and Google [1] Group 1: Sovereign AI Strategy - Nvidia has established partnerships with countries like Saudi Arabia and the UAE to develop "Sovereign AI" initiatives, aiming to create new revenue streams outside of traditional tech giants [2][3] - The company has secured multi-billion dollar chip deals with Saudi Arabia's Humain and is collaborating with the UAE to build one of the largest data centers globally [3][4] - These sovereign AI projects are a key part of Nvidia's strategy to diversify its customer base, with multiple governments expressing interest in procuring chips for similar initiatives [4] Group 2: Supporting New Cloud Platforms - In addition to expanding government clients, Nvidia is supporting competitors to major cloud providers like Amazon AWS, Microsoft Azure, and Google Cloud by integrating platforms such as CoreWeave and Nebius into its growing "Nvidia Cloud Partner" network [5] - These new cloud platforms gain priority access to Nvidia's internal resources, including consulting teams for data center design and optimization [5][6] - Nvidia has invested in some of these new cloud platforms, including CoreWeave and Nebius, to strengthen its ecosystem [5] Group 3: Importance of Cloud Ecosystem - The CEO of Together AI emphasized the significance of having a cloud ecosystem, stating that if cloud giants become competitors, it is crucial for Nvidia to maintain its own ecosystem [7] - Nvidia has formed alliances with suppliers like Cisco, Dell, and HP to help sell products to enterprise clients managing their own IT infrastructure [7] Group 4: Market Opportunities - Nvidia's CEO expressed increased confidence in business opportunities outside of major cloud service providers, predicting that every industry will have its own "AI factory" dedicated to utilizing Nvidia's powerful chips, representing potential sales opportunities worth billions [8] Group 5: Challenges and Risks - Despite its diversification efforts, Nvidia's recent regulatory filings indicate continued reliance on a limited number of clients, primarily major tech companies [9] - These tech giants are developing their own AI chips, posing a competitive threat to Nvidia, particularly as Amazon enters the AI training space with its AWS Trainium processors [9] - The outcome of Nvidia's diversification strategy will be crucial for maintaining strong growth amid challenges to its dominance in the AI chip market [10]

Investment Rating - The industry investment rating is "Positive" [2] Core Viewpoints - The report highlights that the semiconductor sector has shown a year-to-date increase of 1.47%, while other electronic segments have experienced declines, with consumer electronics down by 8.20% [2][8] - A significant agreement has been reached between the US and Saudi Arabia, where Saudi Arabia will invest $600 billion in AI chip technology, with companies like NVIDIA, AMD, and Qualcomm collaborating to enhance AI infrastructure in the region [2][26] - The report predicts that by 2030, the operational digital center capacity in the Middle East could exceed 6GW, indicating substantial growth potential in AI infrastructure investments [2][27] Summary by Relevant Sections Market Performance - The report notes mixed performance in the electronic sector, with specific year-to-date changes: Semiconductors (+1.47%), Other Electronics II (-4.06%), Components (-1.69%), Optical Electronics (-5.49%), Consumer Electronics (-8.20%), and Electronic Chemicals II (+3.50%) [2][8] - In the past week, notable stock performances included Apple (+6.41%), Tesla (+17.34%), and NVIDIA (+16.07%) [2][11] AI Chip Agreements - The US has signed a major deal with Saudi Arabia for AI chip supply, with NVIDIA providing 18,000 Blackwell chips for a data center with a total capacity of 500 megawatts [2][30] - AMD has committed to a $10 billion investment over five years to deploy 500 megawatts of AI computing power in collaboration with HUMAIN [2][30] - Qualcomm is re-entering the data center CPU market, planning to develop advanced AI data centers in Saudi Arabia [2][30] Investment Opportunities - The report suggests focusing on companies involved in computing power chains such as Industrial Fulian, Shenzhen South Circuit, and others, as well as domestic computing firms like Cambricon and Haiguang Information [2][27]

Core Strategy - Nvidia is actively pursuing a diversification strategy to reduce its reliance on major tech giants like Microsoft, Amazon, and Google [1][5] - The company is establishing "sovereign AI" partnerships with countries such as Saudi Arabia and the UAE, aiming to create new revenue streams outside of traditional tech clients [1][2] Sovereign AI Initiatives - Nvidia has secured a multi-billion dollar chip deal with Saudi Arabia's Humain and is collaborating with the UAE to build one of the largest data centers globally [2] - These sovereign AI projects are a crucial part of Nvidia's strategy to diversify its customer base, with multiple governments expressing interest in procuring chips for similar initiatives [2] Support for New Cloud Platforms - Nvidia is supporting emerging cloud platforms like CoreWeave, Nebius, Crusoe, and Lambda, positioning them as competitors to established giants like AWS, Azure, and Google Cloud [3] - These new cloud partners gain priority access to Nvidia's internal resources, including consulting teams for data center optimization [3] Market Outlook - Nvidia's CEO Jensen Huang expressed increased confidence in business opportunities beyond major cloud service providers, predicting that every industry will have its own "AI factory" [4] - This shift represents potential sales opportunities worth hundreds of billions of dollars [4] Competitive Landscape - Despite its diversification efforts, Nvidia's recent regulatory filings indicate continued reliance on a limited number of clients, primarily large tech companies [5] - These tech giants are developing their own AI chips, posing a challenge to Nvidia's market dominance, particularly with Amazon entering the AI training space [5]

金十数据5月18日讯，英伟达(NVDA.O)正寻求减少对大型科技公司的依赖，方法是达成新的合作伙伴 关系，将其人工智能芯片出售给民族国家、企业集团以及微软、亚马逊和谷歌等集团的挑战者。本周， 这家美国芯片巨头宣布与沙特的Humain达成数十亿美元的美国芯片协议，而阿联酋宣布计划与美国政 府协调建设世界上最大的数据中心之一。这些"主权AI"交易是英伟达吸引硅谷以外客户战略的重要组成 部分。英伟达高管、业内人士和分析师表示，这家市值3.2万亿美元的芯片制造商打算在超级规模企业 之外拓展业务。英伟达表示，大型云计算集团占其数据中心收入的一半以上。这家美国公司正在努力支 持亚马逊网络服务、微软Azure和谷歌云的潜在竞争对手。这包括使"云计算新势力"（neoclouds），如 CoreWeave，Nebius，Crusoe和Lambda，成为其不断增长的"英伟达云合作伙伴"网络的一部分。 英伟达寻求拓展大型科技公司之外的业务 ...

Core Viewpoints - The discussion emphasizes the strategic value of sovereign AI and the necessity for countries to actively invest in AI development as a common human endeavor rather than a privilege of a few tech companies [3][5][4] - AI is recognized as a general-purpose technology that can transform various sectors, including public services, agriculture, and defense, necessitating tailored national AI strategies [4][6] - Open-source collaboration is highlighted as a cornerstone for technological democratization, accelerating progress and enabling countries to deploy models on their own infrastructure [3][27] Group 1: Sovereign AI and National Strategy - Sovereign AI is essential for countries to maintain cultural identity and digital sovereignty, as no one understands a nation's needs better than its own citizens [3][5] - The limitations of centralized AI models are discussed, emphasizing the need for customization based on local preferences and requirements [3][6] - Countries must view AI as a new layer of infrastructure, akin to electricity, and invest in building their own capabilities to avoid dependency on foreign technologies [7][8] Group 2: Open Source and Collaboration - Open-source models are crucial for accelerating technological advancements and fostering a collaborative ecosystem among research labs [27][28] - The partnership between NVIDIA and Mistral in developing models like Mistral NeMo illustrates the benefits of combining resources and expertise to create superior AI solutions [28][29] - Open-source technology enhances security through transparency and community involvement, reducing risks associated with centralized control [31][32] Group 3: Economic Impact and Digital Workforce - AI is projected to have a significant impact on GDP, similar to the historical influence of electricity, making it imperative for nations to develop their own AI capabilities [6][7] - The concept of digital labor is introduced, where AI systems are seen as integral to the workforce, requiring nations to actively shape and optimize these technologies [8][9] - The importance of local talent development and infrastructure is emphasized to ensure that AI systems align with national values and regulations [7][10] Group 4: Company Strategies and Ecosystem - Companies like NVIDIA prioritize developer-centric strategies, focusing on creating an ecosystem that supports innovation and collaboration [42][43] - The flexible organizational structure of NVIDIA allows it to adapt to rapid technological changes while minimizing bureaucracy [33][34] - The unique positioning of companies in the AI landscape is crucial for establishing partnerships with cloud service providers and driving mutual success [40][41]

作者：MD 出品：明亮公司 近日，知名VC A16Z的合伙人Anjney Midha与英伟达创始人兼CEO黄仁勋、Mistral联合创始人兼 CEO Arthur Mensch在其播客节目中讨论了主权人工智能、国家人工智能战略，以及为什么每个国家 都必须掌自己的数字智能等话题，其中着重 讨论了当AI日渐成为新一代国家基础设施的之际，国家 如何部署AI、应对AI竞争。 Mistral是一家法国的AI公司，创立于2023年，专注于开发开源大模 型， Arthur Mensch此前曾就职于DeepMind。A16Z和英伟达均是 Mistral的投资方， Mistral上一轮 融资后估值约为62亿美元。 在访谈中，两位创始人也探讨了关于开源和闭源模型与安全之间的关系，二人均认为 ，国家限制输 出模型，并不能意味着就会变得更"安全" ，反而开源模型的飞轮效应能够加速AI进程，从而使"闭关 锁国"背景下的模型面临很高的被淘汰风险。 此外，二人还对AI通用性与专用性之间关系进行了讨论，他们均认同AI是一种通用技术，但同时也 是一种专用型技术，在国家层面，需要更好地适应国情、文化和社会习惯等因素，因此，对于国家而 言， "亲 ...

Core Viewpoint - Lu Xi Technology aims to challenge the dominance of the Transformer architecture in AI by developing a brain-like computing ecosystem, introducing the NLM model that significantly reduces energy consumption while enhancing inference efficiency [2][3][4]. Group 1: Company Overview - Lu Xi Technology was founded in 2023 by two women born in the 1990s, marking it as the first domestic company focused on brain-like computing [2]. - The NLM model, launched in 2024, is the first domestically developed large model using a non-Transformer architecture based on brain-like technology [2][12]. - The company has received approval from the National Internet Information Office for its generative AI services and deep synthesis algorithm services [2][12]. Group 2: Technology and Innovation - The NLM model boasts a reduction in energy consumption by over 80% while improving inference efficiency several times compared to traditional models [12][13]. - Lu Xi Technology's brain-like architecture mimics the human brain's neural structure, allowing for efficient computation and storage by activating only relevant neurons [4][12]. - The company is developing a range of products based on the NEURARK brain-like architecture, including foundational models and industry-specific models, to meet diverse market needs [12][15]. Group 3: Market Position and Strategy - Lu Xi Technology aims to break the dependency on NVIDIA chips by developing its own FPGA and ASIC chips tailored for large models [10][12]. - The company collaborates with various state-owned enterprises and industry leaders to deploy its models across multiple sectors, including healthcare and disaster management [15]. - The company is targeting a significant increase in model parameter scale, aiming to reach 600 billion parameters by 2025, which would bring it closer to the complexity of the human brain [16].