Group 1 - Baidu Smart Cloud has launched the "AI Venture Acceleration Program" in collaboration with investment and government institutions, providing substantial computing power subsidies, exclusive financing channels, and policy support for selected enterprises [1][2] - Over the past year, the program has assisted 20 companies in securing financing of over 100 million yuan [1] - Baidu's Vice President Yuan Foyu highlighted the challenges faced by AI startups, which include balancing technical depth, iteration speed, and cost control [1] Group 2 - To address technical depth, Baidu Smart Cloud offers a comprehensive technology stack, including Kunlun chips, the Baidu Barge AI heterogeneous computing platform, and the Qianfan large model platform, along with application-level solutions [1] - The company has developed the Qianfan large model development platform, which automates the entire process from data annotation to model training and deployment, enhancing product iteration speed [1] - Baidu Smart Cloud's elastic computing power reduces costs by 60% compared to building a data center, and the introduction of MLOps has significantly improved fault response times from hours to minutes [2]

" 模型ToB落地最后一公里，一场生态新变革正在百度和伙伴中展 开…… " 作者丨赵之齐 编辑丨胡敏 2025年初，汪中帮客户落地模型时，在"18个办事事项仅用一个智能体入口接入"的需求中，再次摸到了 平台能力的边界。 汪中是众数信息科技的联合创始人，彼时公司正和百度智能云合作，交付这个公共服务智能体产品。但千 帆应用开发平台能提供的节点数量只有100个，远不能满足用户要求。无奈之下，他找到百度，反映希望 扩大节点边界。 已不是第一次做大厂伙伴的汪中，做好了这次需求会石沉大海的心理准备："跟大厂合作条件多、很复 杂，他们的产品迭代都有自己的计划周期，有些部门能力也重叠，我们经常不知道该去找谁，有时真的好 累"。 出乎他意料的是，大概一个月的时间，千帆平台就完成了节点数量的迭代。 这样快速响应伙伴需求、与伙伴共建产品，是百度智能云在大模型时代下，与伙伴合作升级的一种决心体 现，也是其对大模型时代生态合作新局面的应对策略： 迈入2025年，大模型的ToB落地已成为行业焦点。与云计算产品相比，模型落地追求与专业领域深度结 合，批量复制交付更为困难，大厂难以孤军奋战，需要借助行业伙伴的力量渗入细分行业。 在刚刚过去的 ...