51WORLD (06651) has announced that its next-generation intelligent driving and robotics simulation platform, SimOne4.0, has completed comprehensive adaptation and deep optimization for Moore Threads' MTT S5000 GPU. The integration supports the mass production implementation of various autonomous driving technology pathways, including end-to-end systems, VLA, and world models, spanning from large model perception mining and 4DGS model training to 4DGS simulation inference and synthetic data generation. This capability further extends to training and intelligent upgrades in embodied AI fields such as robotics, achieving a fully domestic stack for high-fidelity closed-loop physical AI simulation and synthetic data generation. As one of the company's three core business segments, 51Sim is a leading synthetic data and simulation platform in China. Its key products include SimOne (an autonomous driving simulation platform) and DataOne (a data闭环 platform). SimOne significantly reduces the testing and validation costs for intelligent driving systems by enabling comprehensive testing under various complex scenarios, such as diverse weather conditions, environmental states, and traffic dynamics, thereby mitigating risks and expenses associated with autonomous vehicle testing. The Moore Threads MTT S5000 is a full-featured GPU computing card designed for large model training, inference, and high-performance computing, built on the fourth-generation MUSA architecture, "Pinghu." It offers up to 1000 TFLOPS of AI dense computing power per card and fully supports precision computing from FP8 to FP64. The successful adaptation of SimOne4.0 with the MTT S5000 GPU provides a complete domestic solution for the autonomous driving industry ecosystem, including OEMs, tier-one suppliers, and testing institutions, demonstrating that domestic GPUs have reached the stage of handling high-precision, high-workload tasks for autonomous driving. Concurrently, the updated 2026 "Road Motor Vehicle Production Enterprise Access Review Requirements" have upgraded the review process for vehicle production access, mandating that automakers involved in intelligent driving must possess simulation, closed-site, and real-road validation capabilities, along with safety assessment competencies. As high-level autonomous vehicles approach mass production, simulation testing is becoming an essential prerequisite before these vehicles can be deployed on public roads.