以下文章来源于东四十条资本 ，作者王满华 东四十条资本 . 聚焦股权投资行业人物、事件、数据、研究、政策解读，提供专业视角和深度洞见 | 创投圈有趣的灵魂 将投中网设为"星标⭐"，第一时间收获最新推送 95后华人AI创业，估值30亿 CentML的总部虽在多伦多，但创始人却是一名95后华人小伙。 王尚出生于山东青岛，2018年从多伦多大学电子与计算机工程专业毕业，随后在该校继续深造，先 后获得硕士和博士学位。研究生和博士阶段，他师从机器学习领域的专家Gennady Pekhimenko教 授。 创始人是一名95后华人小伙。 作者丨王满华 来源丨东四十条资本 4万亿美元巨头来"抢人"了。 近日，市值刚创新高的芯片巨头英伟达被曝新动作——以超过4亿美元（约合人民币30亿元）的价格 收购了AI初创公司CentML。交易完成之后，CentML的19名核心成员，将全部收归英伟达麾下。 CentML成立于2022年，专注于AI 应用程序的性能优化，其开发的软件能在 AI 模型和芯片之间运 行，以提升模型推理和训练效率，解决了市场对高效 GPU 使用的迫切需求。 成立三年，公司获得两轮融资，最后一轮投后估值达到3亿美元。也 ...

以下文章来源于并购最前线 ，作者余梦莹 杨文静 并购最前线 . 投资界（PEdaily.cn）旗下，专注并购动态 AI时代，人才就是最大的弹药 。 来源：并购最前线 作者：余梦莹 杨文静 英伟达又出手了。 投资界-并购最前线获悉，近日英伟达以超4亿美元（约合人民币30亿元）的价格，收购加拿 大AI初创公司CentML。至此，英伟达将包括四位联合创始人在内的19名员工团队收入囊中。 CentML身后是一对师生组合。由95后华人博士及导师带队，CentML旨在借助软件手段降低 AI训练成本，成立至今完成了多轮融资。这一次卖身，身后投资方收获现金落袋。 这里插播一条课程资讯： 报名 黑马 「消费重构精选课」， 国内首场，汇聚中日消费领域顶尖实战派导师 ， 用 3天时 间沉浸式拆解中日消费巨头方法论。 我们邀请到了日本企业家 三浦展本人、 萨莉亚前社长、明治食品"爆款教父" ，现场面授 日 本30年周期经验到中国本土化路径 ， 教你效率革命、需求重构、资本破局。 扫码咨询报名 （翻到底部了解详情） 01 30亿，一位95后把公司卖了 CentML的故事，始于一位95后博士。 出生于山东青岛，王尚从青岛二中一路就读到加 ...

Core Insights - NVIDIA completed the acquisition of Canadian AI startup CentML for over $400 million, marking a strategic move in AI computing optimization and showcasing a new path for tech giants to consolidate their technological barriers through ecosystem integration [1] Group 1: Technology Advancement - CentML, founded in 2022, developed the Hidet tensor compiler, which enhances AI model training efficiency and reduces costs, achieving up to 8 times faster inference speed [2] - Integrating Hidet into NVIDIA's CUDA toolchain will allow developers to gain performance improvements without manual tuning, lowering the barriers for AI deployment [2] Group 2: Strategic Implications - The acquisition is part of a broader strategy, as NVIDIA has also acquired other AI infrastructure companies like Lepton AI, Deci, and OctoAI, creating a comprehensive ecosystem covering model training, inference optimization, and cloud services [3] - As AI model parameters exceed trillions, software optimization becomes crucial, moving beyond mere GPU stacking to enhance efficiency [3] Group 3: Capital Dynamics - NVIDIA's investment in CentML included a $27 million seed round in October 2023, leading to a post-money valuation of $300 million, resulting in early investors receiving over $400 million, yielding a 15x return [4] - This acquisition strategy transforms potential competitors into technological assets, avoiding regulatory scrutiny faced during previous acquisitions [4] - The acquisition may trigger a chain reaction in the industry, as competitors like AMD and tech giants such as Google and Microsoft accelerate their AI accelerator development [4] Group 4: Future Challenges - NVIDIA faces challenges in ensuring compatibility between the Hidet compiler and the CUDA ecosystem, as well as integrating the CentML team culturally [5] - Some sales and operations personnel have already left post-acquisition, while the core engineering team remains intact, highlighting the need for balancing technical autonomy and team stability [5]

Core Viewpoint - Nvidia has acquired Canadian AI startup CentML for over $400 million, aiming to enhance its AI capabilities and talent pool [2][14]. Group 1: Acquisition Details - Nvidia's acquisition price for CentML is over $400 million, with the base purchase estimated at over $300 million and additional payments tied to performance targets [14]. - CentML was founded by a team led by a 95-born Chinese PhD, focusing on reducing AI training costs through software solutions [3][4]. - The acquisition includes 19 employees, including four co-founders, who will join Nvidia [12]. Group 2: CentML's Technology and Impact - CentML's core technology, Hidet, acts as a "translator" between AI models and chips, potentially increasing inference speed by up to 8 times and significantly lowering computational costs [7][10]. - The technology is expected to be integrated into Nvidia's TensorRT inference platform, enhancing its performance in edge computing and autonomous driving [11]. Group 3: Funding and Valuation - CentML has completed multiple funding rounds, including a $3.5 million Pre-seed round and a $27 million seed round, achieving a post-money valuation of $300 million [8][9]. - Prior to the acquisition, CentML had raised approximately $30.9 million in venture capital, indicating a strong return for its investors [15]. Group 4: Talent Acquisition in AI Industry - Nvidia's recent acquisitions, including CentML, are part of a broader strategy to secure top AI talent, with the company reportedly acquiring more firms in 2024 than in the previous four years combined [22]. - The competition for AI talent is intensifying, with other tech giants like Meta also actively recruiting top researchers from leading institutions [27][28].

Core Insights - NVIDIA has completed the acquisition of Canadian AI startup CentML, enhancing its capabilities in AI model optimization and GPU ecosystem [1][3] - CentML's core product, the Hidet tensor compiler, can increase AI model inference speed by up to 8 times and significantly reduce infrastructure costs [3][4] - The acquisition is part of NVIDIA's broader strategy to strengthen its AI ecosystem, following its previous acquisition of Lepton AI [4] Company Overview - CentML was founded in 2022 by Gennady Pekhimenko, a professor at the University of Toronto, and has received a total of $30.9 million in venture capital [3][4] - Following the acquisition, Pekhimenko has taken on the role of Senior Director in NVIDIA's AI software division, while some CentML employees have left due to organizational restructuring [3][4] Technology and Impact - The Hidet compiler dynamically adapts to different AI models and hardware combinations, optimizing GPU resource utilization and automating task allocation [3][4] - In internal tests, Hidet improved the speed of the Llama 2 model by three times while maintaining accuracy, showcasing its potential for enhancing AI performance [3][4] - The acquisition highlights the importance of "soft-hard collaboration" in the AI industry, indicating that future competition among chip manufacturers will focus on ecosystem integration capabilities [4]