Li Auto
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Li Auto has 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 1 country.
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Hyperscaler mix
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How Li Auto builds AI
Build / Buy / Compose across this company's documented cases
2 of 2 cases classified (100%) · Compare all use-case types
Use case portfolio
Use case types at Li Auto
Data platform modernization leads with 1 of 2 documented cases; 2 distinct types appear across the visible portfolio.
Technology snapshot
What Li Auto uses across visible cases
AI Agents appears in 1 of 2 indexed cases; 12 named technologies are mentioned, led by AI Lakebase.
All Use Cases (2)
2026 Beijing Auto Show: Multiple Chinese automakers integrate Qwen agentic AI into in-cabin systems (edge+cloud)
On the opening day of the 2026 Beijing Auto Show, leading Chinese automakers including BYD, Geely, Li Auto, Changan Automobile, Dongfeng Motor, BAIC, Great Wall Motor, SAIC Volkswagen, and SAIC IM Motors announced integration of Qwen into their intelligent vehicle systems.Select models from these manufacturers will offer Qwen-powered AI services directly within the cabin, enabling users to book hotels, purchase attraction tickets, order food delivery, track parcels, and more.Alibaba Cloud describes an edge + cloud collaborative architecture for smart cockpits: Qwen-Omni runs on the edge to perceive and interpret the physical environment, while cloud-side Qwen agentic AI capabilities understand natural-language commands, decompose intents, plan multi-step workflows, and orchestrate scenario-specific agents for seamless execution.The article also notes an earlier FAW Hongqi 'Lingxi Cockpit' implementation that integrated Qwen agentic AI into an intelligent system on the Hongqi HS6 PHEV for ambiguous voice recognition and complex multi-step task planning.Alibaba says it is also adapting Qwen-Omni to run on NVIDIA DRIVE AGX Thor for in-cabin human-machine interaction.
Alibaba Cloud PolarDB AI-ready database upgrades with in-database AI and model operators
Alibaba Cloud unveiled AI Lakebase architecture and upgrades for PolarDB to turn the database into an AI-ready data platform. The architecture unifies storage and analytics, supports multimodal data, and enables semantic retrieval and inference directly within the database.Customer deployments cited in the article include GoTo Group, Li Auto, and Atlas, each using PolarDB for AI-adjacent workflows such as lending, knowledge-base retrieval, AI coding, and real-time flight pricing predictions.
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