NIO's Chip Unit Shenji Unveils Advanced AI Computing Products at World AI Conference Debut

Deep News
Jul 17

The 2026 World Artificial Intelligence Conference has commenced, marking the inaugural independent exhibition for NIO Inc.'s semiconductor subsidiary, Anhui Shenji Technology Co., Ltd. The company showcased its NIO Shenji NX9031 chip and vehicle domain controller, while also introducing new AI offerings including the "Ruidong" embodied intelligence development platform and a distributed intelligent agent platform during the event.

Shenji is focused on creating premier chip and solution platforms for the AGI era, positioning itself as a full-scenario chip company supplying products across fields such as autonomous driving, embodied intelligence, and agent inference. Since its establishment in June 2025, Shenji has secured nearly 3 billion yuan in funding.

Currently, the company has established a comprehensive product portfolio comprising multiple chips like the NX9031X, NX9031U, and NX9031C, providing extensive coverage across three cutting-edge AI sectors: intelligent assisted driving, embodied intelligence, and agent inference. For emerging AI applications such as embodied and agent inference, the NX9031 series chips stand out as some of the few domestically produced chips available on the market that offer substantial computing power and have undergone validation through large-scale mass production.

Specifically, the high-end NX9031X chip, designed for intelligent assisted driving, has been successfully deployed across all vehicle models of the NIO and Ledao brands, with cumulative shipments exceeding 300,000 units. The newly launched "Ruidong" embodied intelligence development platform is powered by the mid-range NX9031U chip, manufactured using a 5nm automotive-grade process, and is capable of running the complex models required for robot brain perception and autonomous planning.

Leveraging its technical expertise and reliability advantages in intelligent assisted driving, Shenji plans to cross-apply its capabilities. The company aims to transfer technologies such as vehicle perception, real-time control, and functional safety to other AI application scenarios, including humanoid robots, unmanned logistics vehicles, and high-computing terminals.

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