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上半年我国工业机器人出口增长61.5%;北京人形机器人创新中心与李宁合作|数智早参
Mei Ri Jing Ji Xin Wen· 2025-07-14 23:15
每经记者|杨煜 每经编辑|董兴生 丨 2025年7月15日 星期二 丨 据北京亦庄公众号消息,近日,北京人形机器人创新中心有限公司与李宁(中国)体育用品有限公司签 署战略合作协议,共同揭牌"人形机器人运动科学联合实验室"。这意味着,全国首个人形机器人运动科 学联合实验室正式落地北京亦庄。 点评:体育与机器人科技的跨界融合加速,凸显从工业机器人向生活化、高精度应用拓展的趋势,吸引 风投涌入高成长赛道。值得思考的是:技术落地如何平衡伦理风险,以及如何催生新产业蓝海(如康复 医疗或赛事服务)。长远看,中国需加强核心算法研发,避免依赖进口部件,以稳固全球领导地位。 NO.3 鸿博股份:上半年业绩同比扭亏为盈 7月14日,鸿博股份发布2025年半年度业绩预告,预计归属于上市公司股东的净利润为2980万元至4420 万元,上年同期为亏损3956.40万元。报告期内,公司全资子公司北京英博数科科技有限公司算力项目 验收完成,使得公司营业收入较上年同期大幅增长,净利润扭亏为盈。 点评:上半年业绩同比扭亏为盈彰显鸿博股份的战略转型成果,预计将提振投资者信心。行业趋势方 面,算力项目验收完成印证了人工智能基础设施需求的爆发性增长 ...
上调AI定制芯片市场目标、算力持续增加,英伟达的对手发起挑战
Di Yi Cai Jing· 2025-06-20 10:20
Core Insights - Nvidia maintains a strong position in the AI chip market with a gross margin exceeding 60%, but clients are seeking alternatives to reduce dependency on Nvidia's GPUs [1][5][6] - Major ASIC chip manufacturers like Marvell and Broadcom are ramping up efforts to develop custom AI chips, targeting significant market growth by 2028 [3][4] Group 1: Market Dynamics - AMD has launched the MI350 AI chip series, claiming superior performance compared to Nvidia, indicating increasing competition in the GPU market [1] - Marvell has revised its 2028 data center market size forecast from $75 billion to $94 billion, with a compound annual growth rate (CAGR) of 35% [3] - Marvell's target market for custom AI chips has been increased to $55 billion from $43 billion, reflecting growing demand [3] Group 2: Competitive Landscape - Marvell has secured 18 custom chip projects and is negotiating over 50 more, aiming to increase its market share in custom computing and components from below 5% in 2023 to 20% by 2028 [3] - Broadcom reported AI revenue exceeding $4.4 billion in Q2 of FY2025, with expectations of growth to $5.1 billion in Q3, marking ten consecutive quarters of growth [4] - Cloud providers are increasingly collaborating with ASIC manufacturers to develop their own AI chips, which is causing concern for Nvidia [4][5] Group 3: Technological Developments - Google has significantly advanced its TPU capabilities, with peak performance reaching 4,614 TOPS and plans to scale up to 9,200 chips for parallel processing [5] - Nvidia is responding to competitive pressures by opening its NVLink ecosystem to allow ASICs to run on its platform, aiming to maintain its dominance in AI cloud computing [6] - Nvidia is also promoting "sovereign AI" initiatives globally, including plans to build an industrial AI cloud in Germany with 10,000 Blackwell GPUs [6] Group 4: Industry Growth - Nvidia's growth has been a major driver for the semiconductor IC industry, with a reported revenue growth rate of 125% compared to a maximum of 21% for other top fabless companies [6] - The semiconductor IC industry is expected to grow by approximately 19% in 2025, benefiting from strong demand and preemptive inventory stocking [7]