华为早已投身中小企业数智化战场。公开资料显示，中小企业数智化转型隶属华为ICT基础设施板块中 的政企业务，分为商业市场和分销业务，2023年5月，华为还面向分销市场发布子品牌华为坤灵，用以 支撑分销伙伴业务拓展，助力中小企业数字化转型。 据记者了解，在ICT分销市场，此前工程商采用多种产品分工交付模式，无法高效一站式满足客户需 求。而据华为方面介绍，华为坤灵的"4+10+N"中小企业智能化方案中，"4"代表智能办公、智能商业、 本报（chinatimes.net.cn）记者卢晓 北京报道 广袤中小企业的数智化，依然是科技大厂们瞄准的重要增长市场。 9月17日，华为常务董事汪涛发布了"4+10+N"中小企业智能化方案，以一站式场景化方案助力中小企业 打通迈向智能世界的"最后一公里"。同时，华为还面向中国ICT分销伙伴发布"百&万计划"，发展100家 分销钻石伙伴、10000家精英工程商，全面助力中小企业跃升智能化。 随着智能大潮席卷线上线下，科技大厂们都将增长的目光投向B端市场，AI成为这场竞争的中心，而中 小企业所在的下沉市场则成为它们拼抢的战场。 冲锋数智化下沉洼地 "智能化应该像水和电一样，希望每个人、每 ...

Core Viewpoint - The AI large model sector is experiencing a new wave of price reductions, driven by competition and advancements in algorithms and computing cost control [4][5]. Group 1: Price Reductions and Promotions - DeepSeek has launched a time-limited discount for its API calls, reducing DeepSeek-V3 to 50% of its original price and DeepSeek-R1 to 25% [2]. - Major companies like ByteDance, Alibaba Cloud, Tencent, and iFlytek have announced significant price cuts for their models, with ByteDance's Doubao visual understanding model dropping to 0.003 yuan per thousand tokens, an 85% reduction from the industry average [4]. - Free service strategies are being adopted by several firms, with Baidu's Wenxin Yiyan and OpenAI's ChatGPT offering free access starting April 1 [4]. Group 2: Technological Advancements - NVIDIA has open-sourced a new optimization scheme based on the Blackwell architecture, achieving a 20-fold reduction in single token costs and a 25-fold performance increase compared to the previous H100 model [2][3]. - The new FP4 quantization model reaches 99.8% performance of FP8 models in the MMLU general intelligence benchmark, showcasing significant advancements in model efficiency [3]. Group 3: Market Reactions and Investments - The A-share market has seen a surge in large model concept stocks, with 69 companies experiencing an increase, and a net inflow of 90.02 billion yuan in leveraged funds [5]. - Notable stock increases include Capital Online rising by 13.71% and several others by over 5% [5]. - China Unicom has optimized its "adaptive slow thinking" model for DeepSeek series, saving approximately 30% in inference computation [5]. Group 4: Industry Dynamics - The open-sourcing of DeepSeek's cost-reduction methodology is expected to lower training and inference costs across the industry, stimulating rapid expansion of AI applications [5]. - The competitive landscape is intensifying, with companies focusing on algorithm optimization and iteration as key strategies alongside price reductions [4].