Application Refactoring · Data Lake / Data Warehouse Modernization
Geely needed a group-wide cloud and data foundation that could support global manufacturing, R&D, and vehicle-intelligence initiatives while protecting internal data, improving collaboration, and giving business teams a shared AI-capable platform instead of fragmented infrastructure.
Reported impact
Geely lowered operating costs, improved resource efficiency, enabled wide cross-region collaboration, and established a reusable digital base for smarter manufacturing and intelligent vehicle experiences.
Baidu AI Cloud helped Geely build the '1+6+N' hybrid cloud platform as the base layer for group-wide digital transformation. The architecture combines one hybrid cloud made up of public cloud and Baidu private cloud, then adds six standardized capability domains: cloud infrastructure, cloud architecture, security operations, DevOps, business-middle-platform services, and data services. On top of those shared services, the platform supports N global business scenarios by moving legacy workloads to the cloud, putting enterprise data into lake-style services, and creating an AI-capable base for manufacturing, connected-vehicle, intelligent-driving, marketing, and R&D use cases. The same foundation also underpins Geely's in-cabin large-model rollout, where the vehicle can understand driver and passenger intent, trigger cockpit functions, and initiate natural dialogue. The implementation therefore joins cloud modernization, data unification, and model-powered user experiences into one governed operating platform for the wider Geely ecosystem.
Manufacturing, R&D, connected-car, and business data are consolidated into Geely's hybrid-cloud and data-service stack, shared platform capabilities support cloud-native business applications and data-lake workflows, and the resulting model services power downstream experiences such as intelligent cockpit dialogue in customer vehicles.
Baidu AI Cloud helped Geely build the '1+6+N' hybrid cloud platform to strengthen cloud infrastructure, move original systems to the cloud and data into the lake, and make the business intelligent. (original: 百度智能云助力吉利云上生长与智变进化，共同打造“1+6+N”吉利混合云平台，成功拥有集团层面统一采用的专有云基础设施，实现夯实云基础架构业务云化、原有业务上云&数据入湖业务智能化。)
More than 20,000 R&D staff and more than 1,000 suppliers can collaborate through the cloud-based model. (original: 全球2万多名研发设计人员可以在不同时空、不同地域协同工作。1000家以上的零部件供应商实现生产制造协作。)
The cockpit large model can more accurately understand driver and passenger intent, control cockpit functions, and proactively start conversations. (original: 座舱大模型，不仅能够更准确地理解驾驶员、乘客的意图，完成对座舱各项功能的操控，也可以与驾驶员、乘客聊天，在各种场景中主动发起对话。)
The platform consists of one hybrid cloud, six capabilities, and N kinds of support for Geely's global business. (original: “1+6+N”吉利混合云平台：1朵混合云：公有云+百度私有云。6大能力：云设施能力、云架构能力、安全运营能力、开发运维能力、业务中台能力、数据服务能力。N项支持集团全球业务。)
The platform reduced management and operations costs by 30% and improved resource utilization efficiency by 20%. (original: 该平台帮助吉利降低了30%的管理运维成本，提高了20%的资源利用效率。)
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