事实上，在今年全球首个人形机器人半程马拉松和全球首个以人形机器人为参赛主体的综合性体育盛会 ——2025世界人形机器人运动会的背后，都有信步科技的身影。比如，夺得人形机器人半程马拉松冠军 的人形机器人"天工"的具身小脑主板就是由信步科技提供。 今年4月，英特尔正式发布具身智能大小脑融合方案。英特尔方面彼时表示，以人形机器人为代表的具 身智能，当下普遍采取大小脑双系统的主流算力方案，即负责AI计算的"大脑"和控制运动的"小 脑"（注：以X86为主，包括英特尔12、13代酷睿及凌动N97、N305）分属不同主板，但长远来看大小 脑融合将是趋势。 当时，英特尔便与其工控主板供应商信步科技推出了具身智能硬件开发平台HB03，HB03搭载英特尔酷 睿Ultra 200系列处理器和英特尔锐炫B570显卡，峰值算力能达96TOPS。 中经记者 李玉洋 上海报道 人形机器人或具身智能，无疑是当前热门赛道之一。在今年的第25届中国国际工业博览会（CIIF）期 间， 深圳市信步科技有限公司（以下简称"信步科技"，Seavo Technology）对外展示了百款工控主板新 品。 "工控市场竞争环境和5年、10年前相比不一样了，今天 ...

Core Insights - The retail industry is increasingly adopting AI applications, with smaller models being utilized for various tasks such as customer flow prediction and product inspection [2][3][5] - The cost of implementing AI models in retail can be significantly reduced, with 14B models costing around 10,000 yuan when using GPUs, and even lower costs achievable with CPUs [1][8][9] - The trend towards model miniaturization allows for effective AI deployment in edge scenarios, where high-performance GPUs are not always necessary [2][8] Group 1: AI Model Applications in Retail - Smaller AI models (8B to 70B parameters) are being used for tasks like customer flow prediction, product inspection, and simple report analysis [2][3] - AI applications in retail have evolved from basic functions like automatic product recognition to more complex tasks such as self-service loss prevention [3][5] - The introduction of AI in retail is driven by the redundancy of computing power in existing systems, allowing for the integration of AI without significant hardware upgrades [3][5] Group 2: Cost and Efficiency of AI Implementation - The cost of deploying AI models in retail is becoming more manageable, with 14B models costing around 10,000 yuan and 32B models offering a good balance of cost, efficiency, and accuracy [8][9] - Retailers are exploring the use of consumer-grade GPUs and CPUs for running smaller models, reducing the need for expensive hardware [8][9] - The implementation of AI in retail can lead to significant cost savings, with estimates suggesting that using AI can reduce operational costs for staff [8][9] Group 3: Future Trends in AI and Chip Technology - The development of edge computing capabilities is expected to enhance the performance of AI applications in retail, with ongoing advancements in CPU technology [9][10] - The market for AI in retail is anticipated to grow, with different CPU manufacturers competing for market share, particularly in the context of energy efficiency and performance [10] - The integration of AI into retail operations is seen as a transformative trend, with potential for new functionalities and improved customer experiences [7][10]