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阿里云张翅:AI推理算力将超训练算力 金融应用需构建“大小飞轮”协同体系
Xin Lang Cai Jing· 2026-01-04 07:53
专题:中国财富管理50人论坛2025年会 1月4日金融一线消息,中国财富管理50人论坛2025年会近日在京召开,本届年会的主题是"迈向'十五 五'建设金融强国"。在前沿对话环节,阿里云智能集团副总裁、新金融行业总经理张翅表示,阿里云的 战略方向锁定"全栈AI云"与"全球化",强调从底层芯片、基础设施到模型应用的完整体系构建。 他认为,目前中美总体在不同模型领域能力上你追我赶、各有优劣,但在自动驾驶、具身智能等细分垂 类领域中国已经展现出明显领先优势。关于算力,他判断未来推理算力需求将超过训练算力,呈现"倒 置"趋势。 在商业模式上,云与AI是互为飞轮的相互提升促进关系,金融Agentic AI落地并非简单的Tokens流量和 Agent外挂逻辑,未来金融机构需构建"大飞轮驱动意图理解、小飞轮落实执行"的双轮体系,实现从辅 助到深度协同的跨越,真正让AI融入专业工作流程。与"双飞轮"架构带来技术范式革新匹配,"生产级 场景"的规模化落地更需要完整的解决方案构建一体化体系支撑。 责任编辑:王进和 专题:中国财富管理50人论坛2025年会 1月4日金融一线消息,中国财富管理50人论坛2025年会近日在京召开,本届年 ...
马斯克证实xAI购入第三栋建筑,训练算力将接近2吉瓦
Hua Er Jie Jian Wen· 2025-12-30 21:52
风险提示及免责条款 市场有风险,投资需谨慎。本文不构成个人投资建议,也未考虑到个别用户特殊的投资目标、财务状况或需要。用户应考虑本文中的任何 意见、观点或结论是否符合其特定状况。据此投资,责任自负。 马斯克确认The Information关于扩建数据中心的报道,称:xAI收购了第三座建筑,这将使xAI的训练算 力达到近2吉瓦。 ...
特斯拉FSD来了,但还没真正来|焦点分析
36氪· 2025-02-26 10:25
Core Viewpoint - Tesla's Full Self-Driving (FSD) system has made significant progress in its rollout in China, marking a crucial step in its strategy to capture the Chinese market, despite facing regulatory and operational challenges [2][10][19]. Group 1: FSD Features and Capabilities - The FSD update includes a "City Streets Autopilot" feature that allows vehicles to navigate city roads, including straight driving, turning, and lane changes, but it remains at Level 2 assistance and does not achieve full autonomy [3][4]. - The FSD system in China is expected to mirror the core functionalities available in North America, although it is not yet the complete version [5][9]. Group 2: Market Context and Competition - Tesla's FSD entry into China comes at a time when local competitors like BYD are rapidly advancing their own intelligent driving technologies, creating a competitive landscape [17][20]. - In 2022, Tesla's global sales saw a slight decline, with a notable 8.8% increase in China, which now accounts for 37% of Tesla's global market share, surpassing the U.S. [19][20]. Group 3: Data and Training Challenges - Tesla faces significant challenges in data collection and model training due to regulatory restrictions on data transfer between China and the U.S., which complicates the development of its FSD capabilities [9][10]. - The company has established local data annotation and operations teams in China to facilitate the training of its intelligent driving models using local data [11][14]. Group 4: Future Prospects and Strategic Moves - As Tesla begins to push FSD features to users, the evolution of the system in China is expected to accelerate, potentially enhancing its competitive edge [12][16]. - The introduction of FSD in China is seen as a necessary move for Tesla to maintain relevance in a rapidly evolving market, especially as local manufacturers are aggressively promoting their own intelligent driving solutions [21][22].