Shijingshan District wanted to attract AI companies, help local enterprises adopt large-model technology, and build a practical public-service environment for tools, talent, and innovation instead of leaving firms to solve AI adoption independently.
Reported impact
Shijingshan established a public large-model base that helps enterprises adopt AI faster, strengthens local talent supply, and makes the district more attractive as an AI industry cluster.
Shijingshan District and Baidu AI Cloud built an innovation base for the Qianfan large-model ecosystem using a 'one base, three engines' operating model. The base is designed as a public platform for enterprise upgrading, scenario incubation, and talent development rather than a single application. Qianfan ModelBuilder and Qianfan AppBuilder give local developers and companies access to core large-model tools, while Baidu's ecosystem support adds forums, incubation programs, and enterprise co-creation around AI-native applications. The three 'engines' cover public general-AI services, talent development, and industrial enablement, so the district can support both technical adoption and ecosystem growth. In practice, the base works as a regional AI layer that brings together tool access, training, demonstrations, and partner matchmaking across verticals such as manufacturing, education, healthcare, energy, transportation, finance, cultural tourism, and urban management.
Local enterprises and developers access the Qianfan base for model tooling and application building, then feed resulting pilots and AI-native services into district incubation, forums, and industry demonstrations. Talent programs and enterprise co-creation activities in turn expand the pool of users and scenarios using the platform.
Baidu AI Cloud and Shijingshan built the first Qianfan large-model industry innovation base in the country through a 'one base, three engines' approach (original: 百度智能云与石景山区共建千帆大模型产业创新基地，通过"一基地三引擎"模式打造AI产业生态).
The base includes a large-model technical platform, scenario incubation, enterprise attraction and incubation, and talent cultivation (original: 该基地围绕建设运营服务展开，包括搭建大模型技术平台、孵化运营平台场景，引进与孵化科技企业，以及引进与培育人才等).
The district planned to use the base to drive intelligent upgrades in manufacturing, education, healthcare, energy, transport, finance, cultural tourism, and urban management (original: 在制造、教育、医疗、能源、交通、金融、文旅和城市管理等垂直行业领域，依托百度平台带动传统产业进行智能化改造升级).
The public-service engine gives developers deep-learning and large-model toolsets, while the talent engine trains local AI talent and the industry engine connects AI technology with industrial development (original: 将发挥通用人工智能公共服务引擎…为开发者提供深度学习及大模型工具集…构建人工智能人才引擎…将建立通用人工智能产业引擎).
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