| Introduction Moore Threads is powering a major acceleration in China's autonomous driving sector during early 2026. Through its advanced MTT S5000 GPU, Moore Threads enables domestic high-performance computing that supports L4 autonomy, massive simulation, and Robotaxi expansion. Key collaborations, especially with Pony.ai, showcase how Moore Threads and MTT S5000 reduce foreign dependency while driving faster innovation and commercialization in the Robotaxi space. Pony.ai Joins Forces with Moore Threads to Propel L4 Robotaxi Scale In February 2026, Pony.ai — a leading operator of fully driverless Robotaxi services — announced a strategic partnership with Moore Threads. The alliance focuses on large-scale L4 autonomous driving deployment by utilizing Moore Threads' MTT S5000 training-and-inference GPUs and KUAE intelligent computing cluster. Pony.ai is applying MTT S5000 at scale to train and optimize its PonyWorld world model and Virtual Driver system. This represents Pony.ai's first extensive use of domestic MTT S5000 hardware for core training and simulation tasks, while firmly establishing Moore Threads in the autonomous driving compute ecosystem. The partnership delivers shorter development cycles, reduced costs, and stronger supply-chain security. Pony.ai already runs commercial Robotaxi operations in Beijing, Guangzhou, Shenzhen, and Shanghai, achieving positive unit economics with its Gen-7 system in Guangzhou. With Moore Threads and MTT S5000, Pony.ai aims to exceed 3,000 Robotaxi vehicles by the end of 2026, leveraging enhanced simulation data generation and model efficiency to speed L4 Robotaxi rollout. |
SimOne 4.0 Fully Optimized on MTT S5000 for Complete Domestic Simulation
Later in February 2026, 51WORLD (via its 51Sim subsidiary) finalized deep adaptation and optimization of its next-generation SimOne 4.0 platform on Moore Threads' MTT S5000 GPU. The MTT S5000 provides up to 1,000 TFLOPS dense AI compute, 80GB memory, high bandwidth, and excellent multi-card performance — ideal for large-model perception, 4D generative simulation, end-to-end training, world-model pipelines, synthetic data production, and embodied intelligence applications.
This creates a unified, fully localized hardware-software stack driven by Moore Threads and MTT S5000. It allows OEMs, Tier-1 suppliers, and testing firms to perform high-fidelity closed-loop simulation entirely on domestic infrastructure, improving validation speed and safety for L4 development and Robotaxi programs.
Moore Threads and MTT S5000 are thus empowering not only Pony.ai's Robotaxi ambitions but also the wider Chinese autonomous ecosystem.
Conclusion: Moore Threads and MTT S5000 as the Engine of 2026 Autonomy
The early 2026 breakthroughs around Moore Threads and MTT S5000 highlight China's rapid progress toward sovereign, high-performance AI compute in autonomous mobility. By fueling Pony.ai's L4 Robotaxi expansion, enabling SimOne 4.0's domestic simulation capabilities, and supporting intensive training workloads, Moore Threads is catalyzing scalable, cost-effective Robotaxi networks.
As Moore Threads and MTT S5000 deepen ecosystem integration, 2026 is emerging as a defining year for domestically powered L4 autonomy and Robotaxi leadership in China.
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