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商汤需要“网感”
3 6 Ke· 2025-07-07 11:36
去年商汤提出"1+X"后,外界称其为效仿阿里曾经的1+6+N组织架构;现在的"二次创业"倒也类似于阿里吴泳铭此前提到的"AI时代,阿里将像创业公司 一样思考和行动。" 资料显示,商汤的"1"代表核心业务,包括打造行业领先的AI云,实现大装置、基础模型和AI应用的无缝集成,以及打造通用视觉模型深耕各个应用场 景;"X"则代表商汤重组拆分的生态企业矩阵,包括智能汽车"绝影"、家庭机器人"元萝卜"、智慧医疗、智慧零售等。 作为AI四小龙中现今最受关注的角色,在六月底的商汤股东大会上,商汤管理层有所换血,并且再次提到了"1+X",商汤CEO徐立表示"1+X"组织焕新实 际上是一次"二次联合创业"过程。 总的来说,"旧核心业务+新东风"的组合是现在商汤的核心业务,这显然与1+6+N的思路并不相同。 在阿里方面,"1"并非表达具体业务,并且现如今阿里本身已不再强调拘泥于"1+6+N"的架构,《新立场》认为商汤的"1+X"仅仅是能向外界传递这一架构 的历史合理性,并不能反映出在大模型时代商汤作为AI行业"老玩家"的实力。 因此商汤的核心业务"1"如何跟大模型这一概念更好地融合,同时展现出自己作为AI老玩家的实力,在外界看来 ...
影响市场重大事件:中央财经委会议研究纵深推进全国统一大市场建设、推动海洋经济高质量发展
Mei Ri Jing Ji Xin Wen· 2025-07-01 23:59
Group 1 - The Central Financial Committee emphasizes the need to deepen the construction of a unified national market and promote high-quality development of the marine economy, focusing on innovation, efficient collaboration, and industrial upgrades [1] - The National Healthcare Security Administration and the National Health Commission have introduced 16 measures to support the high-quality development of innovative drugs, covering the entire chain from research and development to payment systems [2] - Shanghai has established a second phase fund for industrial transformation and upgrading with a total scale of 50 billion yuan, aimed at enhancing financial support for strategic emerging industries [3] Group 2 - Shanghai is implementing joint support policies for key industrial chains such as integrated circuits, large aircraft, and marine vessels, encouraging strong collaboration among quality enterprises [4] - The third China International Supply Chain Promotion Expo will take place from July 16 to 20, showcasing products that have successfully cleared customs, including high-performance industrial switches and integrated circuit modules [5] - The latest survey on the digital transformation of brokerage firms focuses on the internet brokerage business and sales amounts, indicating a shift in regulatory oversight [6][7] Group 3 - IDC reports that the GenAI IaaS market in China is expected to reach 8.74 billion yuan in the second half of 2024, with a year-on-year increase of 165%, highlighting the growth of AI infrastructure [8] - The total scale of ETFs in China reached a historic high of 4.3 trillion yuan in the first half of the year, with stock ETFs accounting for over 70% of this total [9] - The National Healthcare Security Administration is working on collaboration between basic medical insurance and commercial health insurance, focusing on data sharing and synchronized settlements [10] Group 4 - Bond ETFs have reached a new high of 383.98 billion yuan, with a net inflow of 175.78 billion yuan in the first half of the year, indicating strong investor interest in this asset class [11]
AI基建市场排名出炉:华为云不敌阿里云,火山引擎冲进前三
Nan Fang Du Shi Bao· 2025-07-01 11:22
Core Insights - Alibaba Cloud leads the AI IaaS market in 2024 with a market share of 23%, surpassing the combined shares of the second and third-ranked competitors [1] - Huawei Cloud ranks second with a 10% share, while Volcano Engine holds third place with 9% [1] - The report marks IDC's first statistical analysis specifically focused on AI IaaS [1] Market Share Comparison - In the second half of 2023, Alibaba Cloud held a 27.1% share, followed by Huawei Cloud at 13.5%, China Telecom at 12.9%, Tencent Cloud at 8.7%, and China Mobile at 8.6%, totaling 70.8% for the top five [1] - Tencent Cloud and China Telecom experienced a decline in rankings, while Volcano Engine entered the top five [1] AI IaaS Market Definition - The intelligent computing infrastructure service market includes IaaS services supported by AI-specific chips like GPU, FPGA, and ASIC, catering to both generative and non-generative AI scenarios [3] Generative AI IaaS Growth - The generative AI IaaS market in China is expected to grow by 165% year-on-year in the second half of 2024, reaching 8.74 billion yuan, accounting for over 70% of the overall AI IaaS market [4] - Alibaba Cloud leads in both model training and inference within the generative AI IaaS market [4] Future Projections - The demand for AI computing resources is projected to shift from training to inference by 2025, driven by the emergence of popular large models [4] - Major clients in sectors like internet, telecommunications, and autonomous driving are actively testing and deploying domestic computing resources to address computing gaps [4] Investment Trends - Alibaba plans to significantly increase investments in AI infrastructure over the next three years, exceeding the total of the past decade [5] - Tencent's annual capital expenditure for 2024 is projected to reach $10.7 billion, approximately 12% of its revenue, with plans for further increases in AI-related spending [5]