上海AI产业版图。 作者 | 刘博 报道 | 投资界PEdaily 这是一笔鲜少被关注到的融资。 投资界获悉，近日上海国投先导人工智能产业母基金联合领投壁仞科技，数家知名投资 机构及产业资本跟投。值得一提的是，这是上海国投先导人工智能产业母基金首个直投 项目。 壁仞科技，创投圈并不陌生——身后掌舵者是哈佛博士张文，他职业生涯始于华尔街， 后来回国连续创业，于2019年创立壁仞科技，闯入AI芯片赛道。走过五年历程，壁仞科 技经历着种种风波，至今已融资超50亿元。 由此望去，上海AI产业版图一一浮现。 张文带队 壁仞要去IPO了 张文，无疑是壁仞科技的灵魂人物。 他拥有哈佛大学法学博士学位，早年前曾是华尔街一名资深投资人。2011年，中芯国际 创始人张汝京再度创业，张文受邀回国出任公司CEO。随后在2 0 1 8年，他又担任商汤科 技总裁，主导商汤科技总部落地上海。 目睹着AI芯片的发展大势，张文心中也萌生创业的念头。在他看来，每一个AI应用的底 层硬件都是GPU，GPU会成为像水电煤一样，成为无处不在的基础设施。而中国最大的 优势之一是数据，AI芯片恰恰最需要场景和数据迭代。在《澎湃新闻》的采访中，张文 曾透露 ...

Core Viewpoint - Apple's decision to purchase approximately $1 billion worth of NVIDIA's GB300 NVL72 GPU cluster servers marks a significant shift in its AI strategy, acknowledging the advantages of the GPU ecosystem and generative AI paradigm over its self-developed chips [1][3][21]. Group 1: Apple's Shift to NVIDIA - Apple has historically relied on its self-developed chips, achieving great success with its Apple Silicon series in mobile and edge computing [3]. - The recent order for NVIDIA's GPUs indicates Apple's recognition of the GPU ecosystem's superiority in the generative AI space, driven by urgent market demands for high-performance computing [3][4]. - Analysts suggest that Apple plans to order around 250 NVL72 servers, with each server costing between $3.7 million and $4 million, totaling nearly $1 billion [3]. Group 2: Implications of Siri's Performance - Siri's declining competitiveness against rivals like Google Assistant and Alexa has prompted Apple to reassess its AI hardware strategy [4][5]. - The anticipated updates to Siri have been delayed, reflecting the challenges Apple faces in enhancing its AI capabilities [4][5]. Group 3: Generative AI and Market Dynamics - The rise of generative AI has redefined user expectations for intelligent assistants, shifting from simple command execution to intelligent collaboration [5]. - Apple's investment in NVIDIA GPUs is speculated to support the development of an Apple LLM, enhance Siri, and integrate AI into various applications [5][6]. Group 4: GPU vs. ASIC - The choice of NVIDIA's GPUs over self-developed ASICs highlights the critical importance of time and performance in the AI race, with NVIDIA's established ecosystem providing immediate solutions [8][16]. - NVIDIA's GPUs have become the de facto standard for training large language models (LLMs), showcasing their performance and ecosystem maturity [8][11]. - The high cost of NVIDIA GPUs, which have surged to $90,000 each, reflects their dominant market position, with NVIDIA reporting a revenue of $39.3 billion and a gross margin exceeding 70% [8][9]. Group 5: Future Outlook - Despite the current preference for NVIDIA GPUs, Apple may still pursue a hybrid strategy, utilizing NVIDIA for model training while relying on its own chips for inference [6][19]. - The ongoing competition between ASICs and GPUs suggests that while ASICs may face challenges now, they are not entirely out of the picture for future applications [19][21].

会议时间： 2025 年 2 月 26 日（北京时间） 注：以下材料仅为公开资料整理，不涉及分析师的研究观点和投资建议，记录和翻译可能产 生误差，仅供参考，如有异议，请联系删除。 FY4Q25（截至 2025/1/26）： - blackwell 专门为 AI 推理设计 blackwelll superchargers 推理模型，与 H100 相比，token 吞吐 量提升 25 倍，成本下降 20 倍 | | | Revenue by Market Platform | | | | | --- | --- | --- | --- | --- | --- | | ($ in millions) | Q4 FY25 | Q3 FY25 | Q4 FY24 | Q/Q | Y/Y | | Data Center | $35,580 | $30,771 | $18.404 | Up 16% | Up 93% | | Compute | 32,556 | 27,644 | 15.073 | Up 18% | Up 116% | | Networking | 3,024 | 3,127 | 3.331 | Down 3 ...