The robot lineup featured Lingxi X2, Yuanzheng A2, Jingling G2, and the quadruped D1, all powered by Zhiyuan’s self‑developed Lingxin and Lingchuang platforms. With robust compute support from underlying chips, these AI performers completed in 72 hours what traditionally takes human artists weeks of training—automating the entire pipeline from song learning to complex choreography. A highlight was Lingxi X2’s collaboration with pop star Wang Xinling, where real‑time motion capture and rhythm matching demonstrated the high generalization capability of multimodal large models in dynamic environments. In the “Wenji Qiwu” segment, a high‑altitude backflip validated the reliability of its motion control algorithms under extreme conditions—tasks that typically require peta‑scale computing per second. Beyond stage performance, the team showcased broader commercial potential during the live stream. Yuanzheng A2 generated impromptu greeting messages via its natural language processing module, with interactive response latency under 200 milliseconds—meeting industrial‑grade standards. Industry insiders noted that such applications demand extremely high energy efficiency from edge‑computing chips, and Zhiyuan’s heterogeneous computing architecture may be a key breakthrough. The deeper significance of this show lies in validating the maturity of AI infrastructure. From distributed compute clusters in training to lightweight deployment for inference, Zhiyuan’s complete tech stack is narrowing the gap between lab research and commercial rollout. According to the International Federation of Robotics, the global entertainment robot market grew 87% year‑on‑year in 2023, with the compute power demand for performance robots posting a compound annual growth rate of 132%.