展望下一季，公司给出的指引明显保守。2026财年第二财季营收预计102亿-110亿美元、非GAAP每股收益2.45-2.65美元。管理层指出AI数据中心对存 储需求抬升，挤压手机OEM的供给与成本空间，部分客户下调备货与渠道库存，从而拖累短期芯片订单。业绩公布后，高通盘后股价大跌近10%。 全球最大智能手机处理器制造商高通(QCOM.US)对当前财季给出疲软的业绩预测，加剧了市场对存储芯片短缺导致价格上涨、并进一步抑制手 机需求的担忧。截至发稿，高通周三美股盘后跌近10%。 财报显示，在截至2025年12月28日的第一财季，高通当季营收同比增长5%至122.5亿美元，好于分析师平均预期的121.8亿美元;调整后净利 润为37.8亿美元，同比下降1%;调整后每股收益为3.50美元，好于分析师平均预期的3.40美元。 | | GAAP | | | Non-GAAP | | | | --- | --- | --- | --- | --- | --- | --- | | (in millions, except per share data | Q1 Fiscal | Ol Fiscal | | Q1 Fiscal ...

Humain 公司于去年成立，为沙特公共投资基金全资所有，预计将主导该国人工智能产业发展的相关国 家级项目。该公司已达成多项合作协议，其中包括与埃隆・马斯克旗下的 xAI 公司、以及黑石集团投 资的亚太环通公司（AirTrunk）合作开发沙特本土数据中心项目，并计划到 2034 年实现约 6 吉瓦的算 力规模目标。 沙特国家发展基金旗下的基础设施投资部门（Infra）还与 Humain 达成共识，双方将探讨共建一个人工 智能数据中心投资平台，并共同担任该平台的基石投资方，该平台的设立旨在助力全球及本土机构投资 者参与并支持 Humain 人工智能战略的推进。 专题：世界经济论坛年会_2026冬季达沃斯 责任编辑：郭明煜 沙特阿拉伯国家基础设施基金与该国人工智能企业 Humain 于周三宣布达成一项最高 12 亿美元的融资 协议，旨在助力沙特本土人工智能及数字基础设施的扩张建设。 一份声明显示，该协议就建设最高 250 兆瓦算力的人工智能数据中心制定了不具约束力的融资条款，以 服务 Humain 的客户，相关合作于瑞士达沃斯正式对外公布。 作为全球最大的石油出口国，沙特正加速推进人工智能领域发展，借此把握市场对 ...

Core Insights - Saudi Arabia's National Infrastructure Fund and Humain announced a financing agreement of up to $1.2 billion to expand AI and digital infrastructure in the country [1][2] - The agreement includes non-binding financing terms for developing up to 250 megawatts of AI data center capacity [1] - Humain aims to lead national AI development efforts and has secured partnerships with notable companies like Elon Musk's xAI and Blackstone-backed AirTrunk [3] Group 1 - The financing agreement was announced in Davos, Switzerland, highlighting Saudi Arabia's commitment to AI development [1] - The initiative is part of a broader strategy to diversify the economy away from hydrocarbons and meet the growing demand for computing power [2] - Humain, established last year and fully owned by the Public Investment Fund, is targeting a data center capacity of about 6 gigawatts by 2034 [3] Group 2 - The National Infrastructure Fund and Humain are exploring a potential AI data center investment platform to attract global and local institutional investors [4] - This platform aims to support the growth of Humain's AI strategy, indicating a collaborative approach to investment in the sector [4]

ABU DHABI, Jan 21 (Reuters) - Saudi Arabia's National Infrastructure Fund and Humain, the kingdom's artificial intelligence ​company, announced a financing agreement of up ‌to $1.2 billion on Wednesday to support the expansion of AI and ‌digital infrastructure in the country. The agreement outlines non-binding financing terms for the development of up to 250 megawatts of AI data centre capacity to support Humain's customers, ⁠and was announced in ‌Davos, Switzerland, according to a statement. The world' ...

Core Insights - Saudi Telecom Company (STC) has announced a joint venture with the AI firm Humain to develop and operate data centers [1][2] - Humain will hold a 51% stake in the joint venture, while STC will own 49% [1][2] - This initiative aligns with Saudi Arabia's strategy to accelerate AI development and diversify its economy away from oil dependency [1][2] Company Overview - Humain is supported by the Saudi Public Investment Fund (PIF) and has established multiple partnerships, including collaborations with Elon Musk's xAI and Blackstone-backed AirTrunk [1][2] - The company aims to achieve approximately 6 gigawatts of data center capacity by 2034 [1][2] Project Details - The joint venture will focus on building infrastructure capable of supporting up to 1 gigawatt of load [1][2] - The initial deployment scale of the project is expected to reach up to 250 megawatts [1][2]

Core Viewpoint - AWS is reshaping the cloud computing market by deploying AI infrastructure directly into customer data centers, allowing for large-scale AI project deployment while maintaining compliance and data sovereignty [3][8]. Group 1: AWS AI Factory Overview - AWS AI Factory offers two technology routes: a Nvidia-AWS integrated solution and a self-developed Trainium chip solution, targeting high-value clients with strict data sovereignty and compliance requirements [1][4]. - The AI Factory operates like a private AWS region, deploying Nvidia GPUs, Trainium chips, and AWS infrastructure directly into customer data centers [3][9]. Group 2: Dual Chip Strategy - The Nvidia-AWS integrated solution provides customers with Nvidia hardware, full-stack AI software, and computing platforms, supported by AWS's advanced infrastructure [4]. - AWS has introduced Trainium3 UltraServers and outlined plans for Trainium4 chips, which will be compatible with Nvidia NVLink Fusion to enhance interoperability between the two solutions [5]. Group 3: Commercial Validation - The Humain project in Saudi Arabia serves as a large-scale commercial validation for the AWS AI Factory model, involving the deployment of approximately 150,000 AI chips [7]. - Humain's CEO emphasized AWS's experience in building large-scale infrastructure and its commitment to the region as key reasons for their partnership [7]. Group 4: Target Market - The AI Factory primarily targets government agencies and large organizations with strict data sovereignty and compliance needs, allowing them to run AWS-managed services within their own data centers [8][9]. - AWS recently announced a $50 billion investment to expand AI and high-performance computing capabilities for the U.S. government, aligning with its strategy to serve high-compliance markets [8].

Core Insights - Amazon Web Services (AWS) is reshaping the cloud computing market by deploying AI infrastructure directly into customer data centers through a new product model called "AI Factory" [1] - This model allows governments and large enterprises to scale AI projects while maintaining full control over data processing and storage locations, meeting compliance requirements [1] Group 1: AI Factory Product Model - The AI Factory integrates Nvidia GPUs, Trainium chips, and AWS's networking, storage, and database infrastructure into customer-owned data centers, operating like a private AWS region [1][2] - AWS offers two technology routes: a Nvidia-AWS integrated solution and a self-developed Trainium chip solution, enhancing interoperability between the two [2] - The Trainium3 UltraServers were announced at the Re:Invent conference, with plans for the Trainium4 chip to be compatible with Nvidia NVLink Fusion [2] Group 2: Commercial Validation and Market Focus - The Humain project in Saudi Arabia serves as a large-scale commercial validation for the AWS AI Factory model, showcasing AWS's capability in delivering massive AI infrastructure [3] - The AI Factory primarily targets government agencies and large organizations with strict data sovereignty and compliance requirements, allowing them to run AWS-managed services within their own data centers [4] - AWS's recent announcement to invest $50 billion to expand AI and high-performance computing capabilities for the U.S. government aligns with this strategic focus [5]

Core Insights - Luma AI, a video generation startup backed by Nvidia, is expanding its operations to the U.K. with plans to hire around 200 employees by early 2027, which will constitute about 40% of its workforce [1][2] Funding and Valuation - The company recently announced a $900 million funding round led by Humain, a Saudi Public Investment Fund-owned AI company, resulting in a valuation exceeding $4 billion [2] Technology and Market Focus - Luma AI is developing "world models," AI models capable of learning from various media types, including video, audio, images, and text, which are utilized by large language models like OpenAI's ChatGPT and Google's Gemini [2] - The startup is targeting sectors such as marketing, advertising, media, and entertainment with its video models, which are offered through an API and as part of a content creation suite [3] Strategic Expansion - The CEO of Luma AI, Amit Jain, emphasized that the recent funding and the expansion of global compute infrastructure will enable the company to deliver world-scale AI to creatives globally [4] - The U.K. was chosen as the initial expansion location due to its access to talent and as a gateway to the European market [5]

Core Viewpoint - Elon Musk's ambitious plans for space-based AI data centers highlight a competitive landscape where companies are racing to establish advanced computing capabilities beyond Earth, with China already making significant strides in this area [2][28]. Group 1: Space-Based AI Data Centers - Musk's vision includes launching AI satellites to create a super AI data center in space, with plans to deploy these satellites within five years [6][14]. - The energy demands of data centers are driving the need for innovative solutions, with Musk's proposed space-based centers potentially offering superior energy efficiency compared to terrestrial options [12][26]. - The operational costs of space data centers could be significantly lower than those on Earth, with estimates suggesting they could be one-tenth of terrestrial data center costs [26]. Group 2: Competitive Landscape - Major tech companies like Amazon and Google are exploring similar concepts, with Amazon's Blue Origin and Google's Project Suncatcher aiming to establish space-based data processing capabilities [15][18]. - The competition is intensifying, as various companies are investing in technologies to reduce launch costs and improve the feasibility of space data centers [26][20]. - China's advancements in space computing, including the launch of a satellite constellation for on-orbit processing, position it as a frontrunner in this emerging field [29][30]. Group 3: Technical Challenges and Innovations - The construction of space data centers faces significant technical challenges, including radiation protection and the need for robust hardware capable of withstanding harsh space conditions [23][24]. - Innovative cooling solutions, such as radiative cooling in the vacuum of space, could address some of the limitations faced by terrestrial data centers [13][12]. - The successful deployment of AI satellites will depend on advancements in chip production and the ability to transport necessary equipment to space efficiently [14][26].

Group 1 - OpenAI has launched the new programming model GPT-5.1-Codex-Max, which significantly enhances long-term reasoning, work efficiency, and real-time interaction capabilities, replacing the previous model [2] - The core highlight of the upgrade is the introduction of a "Compaction" mechanism, allowing the model to retain key information while discarding irrelevant details, enabling continuous work across millions of tokens without performance degradation [2] - The model successfully completed complex tasks for over 24 hours during internal testing, achieving a token efficiency improvement of approximately 30%, which effectively reduces development costs and response delays [2] Group 2 - Ant Group's CTO He Zhengyu stated that the Lingguang App is not embedded in Alipay yet, emphasizing that AI capabilities are already spread across many products [2] - He described the relationship between Lingguang App and Qianwen App as a feeling of "brothers" working together towards AGI [2] Group 3 - NVIDIA's latest earnings report highlighted a significant increase in revenue driven by key clients, including a lesser-known Saudi startup, Humain, which aims to supply 6% of global AI computing power by 2034 [2] - Humain has announced agreements with NVIDIA and Amazon to deploy 150,000 NVIDIA chips in a new "AI Zone" data center in Riyadh, Saudi Arabia [2] Group 4 - RockFlow, an AI-native fintech platform, has completed a new round of financing amounting to tens of millions of dollars, led by Ant Group [2]