英伟达利用授权协议挖空Groq 凤凰网科技讯北京时间12月27日，据CNBC报道，英伟达斥资200亿美元收购了芯片创业公司Groq的核 心资产，包括CEO在内的顶尖人才。但是，Groq官方称，这是一笔"非排他性授权协议"，两家公司为何 要这样操作呢？ 这笔交易已经曝光两天了，但是英伟达既未发布新闻稿也未提交监管文件进行说明。英伟达发言人表 示，公司只能确认Groq在周三收盘后发布的仅90字博客内容。周三的美股交易因圣诞假期而缩短。 "英伟达现在的体量，已庞大到能在平安夜达成200亿美元交易却无需发布新闻稿，而且无人对此感到惊 讶。"伯恩斯坦分析师斯泰西.拉斯贡(Stacy Rasgon)周五在接受CNBC节目《华尔街快报》采访时指出。 虽然两家公司都未确认交易金额，但CNBC周三从Groq主要投资人亚历克斯.戴维斯(Alex Davis)处获 悉，英伟达已同意以200亿美元现金收购Groq的资产。Groq是一家高性能AI加速芯片设计公司。戴维斯 所在的投资公司Disruptive已向Groq投资超过5亿美元，并在今年9月以69亿美元估值领投了Groq的最新 一轮融资。 伯恩斯坦分析师拉斯贡在周四发给客户的研报 ...

数据中心建筑的可折旧寿命可能在20至40年之间，而AI芯片可能在不到三年内就会过时。会计顾问 Olga Usvyatsky指出，披露信息的发展速度不足以跟上对AI投资信息的现实需求。 科技公司近年来普遍表示，预计服务器和网络设备的使用寿命更长，无需频繁更换。减少设备更换频率 有助于保持现金流，同时减少折旧费用并增加报告利润，有时可达数亿美元。 科技巨头在AI基础设施上投入数千亿美元，但其财务披露透明度不足，正在成为投资者面临的新挑 战。公司通常将数据中心建设成本与芯片支出合并报告，尽管两者折旧周期存在巨大差异，这使得投资 者难以准确评估AI投资风险。 周四，据华尔街日报报道，科技公司通常会提供与长期建设项目相关的AI数据中心和芯片的总成本， 但一般不会分别列出各项成本，设施和芯片的折旧时间存在巨大差异，可能需要在几年或更短时间内更 换的芯片成本，与可以使用数十年的建筑成本被合并计算。 这种披露方式引发了阿肯色大学小石城分校会计学教授Gaurav Kumar的担忧，他表示："在建工程账户 是一个大洞，超大规模运营商可以在其中掩埋大量成本。" 投资研究公司Hudson Labs数据显示，今年市值至少20亿美元且在 ...

Core Insights - Google plans to announce its largest investment in Germany on November 11, focusing on infrastructure and data centers, as well as innovative projects utilizing renewable energy and waste heat [1] - Nvidia and Deutsche Telekom are constructing a €1 billion ($1.2 billion) data center in Germany to enhance European infrastructure for complex AI systems, set to begin operations in Q1 2026 [1] - The EU announced a €200 billion plan in February to support AI development within the region, aiming to double the capacity for driving such models in the next five to seven years [1] Group 1 - Google will reveal details of its investment plan alongside German Finance Minister Lars Klingbeil [1] - The investment will include the expansion of operations in Munich, Frankfurt, and Berlin [1] - The data center by Nvidia and Deutsche Telekom will utilize up to 10,000 GPUs [1] Group 2 - Deutsche Telekom is in discussions with other companies to participate in building an AI super factory, although progress has been slow [1] - The EU has yet to establish specific bidding review processes and funding allocation plans for the AI initiative [1]

Core Viewpoint - Groq, an AI chip startup, is negotiating a new round of financing amounting to $600 million, with a valuation nearing $6 billion, which would represent a doubling of its valuation within approximately one year since its last funding round [1][2]. Group 1: Financing Details - The latest financing round is led by the venture capital firm Disruptive, which has invested over $300 million into the deal [1]. - Groq's previous funding round in August 2024 raised $640 million at a valuation of $2.8 billion [1]. - Groq has raised approximately $1 billion in total funding to date [1]. Group 2: Revenue Adjustments - Groq has reportedly lowered its revenue expectations for 2025 by over $1 billion [2]. - A source indicated that the revenue adjustments made this year are expected to be realized in 2026 [3]. Group 3: Company Background and Product Offering - Groq was founded by Jonathan Ross, a former Google employee involved in the development of Google's Tensor Processing Unit (TPU) chips, and officially entered the public eye in 2016 [3]. - The company designs chips known as Language Processing Units (LPU), specifically tailored for inference rather than training scenarios [3]. - Groq has established exclusive partnerships with major companies, including a collaboration with Bell Canada for AI infrastructure and a partnership with Meta to enhance the efficiency of the Llama4 model [3]. Group 4: Competitive Landscape - In the AI inference chip market, Groq competes with several startups, including SambaNova, Ampere (acquired by SoftBank), Cerebras, and Fractile [3]. - Jonathan Ross highlighted that Groq's LPU does not utilize expensive components like high-bandwidth memory, which are scarce from suppliers, differentiating it from Nvidia's chips [4].

Group 1 - Groq is negotiating a new round of financing amounting to $600 million, with a valuation close to $6 billion, which would double its valuation from $2.8 billion in August 2024 if successful [1] - The current financing round is led by Disruptive, based in Austin, with participation from various institutions including BlackRock, Neuberger Berman, TypeOne Ventures, Cisco, KDDI, and Samsung Catalyst Fund [1] - Groq has raised approximately $1 billion in total funding prior to this round, indicating strong investor interest in the AI chip sector [1] Group 2 - Groq's chips, known as Language Processing Units (LPU), are specifically designed for inference rather than training, targeting real-time data interpretation [2] - The AI inference chip market is competitive, with several startups including SambaNova, Ampere, Cerebras, and Fractile also vying for market share [2] - Groq's CEO Jonathan Ross highlighted the company's differentiation strategy, noting that Groq's LPU does not use expensive high-bandwidth memory components, unlike Nvidia's chips [2]

Core Viewpoint - Groq, a semiconductor startup, is seeking to raise $300 million to $500 million, with a post-investment valuation of $6 billion, to fulfill a recent contract with Saudi Arabia that is expected to generate approximately $500 million in revenue this year [1][2][3]. Group 1: Funding and Valuation - Groq is in discussions with investors to raise between $300 million and $500 million, aiming for a valuation of $6 billion post-funding [1]. - In August of the previous year, Groq raised $640 million in a Series D funding round led by Cisco, Samsung Catalyst Fund, and BlackRock Private Equity Partners, achieving a valuation of $2.8 billion [4]. Group 2: Product and Market Position - Groq is known for producing AI inference chips designed to optimize speed and execute pre-trained model commands, specifically a chip called Language Processing Unit (LPU) [5]. - The company is expanding internationally by establishing its first data center in Helsinki, Finland, to meet the growing demand for AI services in Europe [5]. - Groq's LPU is intended for inference rather than training, which involves interpreting real-time data using pre-trained AI models [5]. Group 3: Competitive Landscape - While NVIDIA dominates the market for chips required to train large AI models, numerous startups, including SambaNova, Ampere, Cerebras, and Fractile, are competing in the AI inference space [5]. - The concept of "sovereign AI" is being promoted in Europe, emphasizing the need for data centers to be located closer to users to enhance service speed [6]. Group 4: Infrastructure and Partnerships - Groq's LPU will be installed in Equinix data centers, which connect various cloud service providers, facilitating easier access for businesses to Groq's inference capabilities [6]. - Groq currently operates data centers utilizing its technology in the United States, Canada, and Saudi Arabia [6].

Group 1 - Groq has established its first data center in Helsinki, Finland, to accelerate its international expansion, supported by investments from Samsung and Cisco [1] - The data center aims to leverage the growing demand for AI services in Europe, particularly in the Nordic region, which offers easy access to renewable energy and cooler climates [1] - Groq's valuation stands at $2.8 billion, and it has designed a chip called the Language Processing Unit (LPU) specifically for inference rather than training [1] Group 2 - The concept of "sovereign AI" is being promoted by European politicians, emphasizing the need for data centers to be located within the region to enhance service speed [2] - Equinix, a global data center builder, connects various cloud service providers, allowing businesses to easily access multiple vendors [2] - Groq's LPU will be installed in Equinix's data centers, enabling enterprises to access Groq's inference capabilities through Equinix [2]