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Home - Asia - Pony.ai and Moore Threads Forge Strategic Partnership to Speed up L4 Autonomous Driving
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Pony.ai and Moore Threads Forge Strategic Partnership to Speed up L4 Autonomous Driving

NextTechBy NextTechFebruary 6, 2026No Comments4 Mins Read
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Pony.ai and Moore Threads Forge Strategic Partnership to Speed up L4 Autonomous Driving
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Pony.ai and Moore Threads lately introduced a strategic partnership. The 2 corporations will give attention to the deployment and huge‑scale utility of L4 autonomous driving expertise, collaborating deeply on the coaching and optimization of Pony.ai’s core applied sciences — its world mannequin and Digital Driver system — utilizing secure, dependable AI computing energy to empower autonomous driving iterations and industrial deployment.

Notably, this collaboration serves as an necessary instance of coordinated innovation in China’s synthetic intelligence trade chain — it’s the first time Pony.ai has utilized domestically developed AI computing at scale in key coaching and simulation phases, and it marks the formal entry of Moore Threads’ home full‑operate GPUs into the core area of autonomous driving.

The 2 sides will collectively advance the coaching adaptation and validation of Pony.ai’s world mannequin and in‑car fashions based mostly on Moore Threads’ MTT S5000 coaching‑and‑inference built-in AI computing card and the KUAE clever computing cluster. By constructing an autonomous driving computing ecosystem collectively, they intention to attain full‑hyperlink collaboration throughout algorithms, information, computing energy, and functions, speed up the maturity and price optimization of L4 autonomous driving expertise, and supply strong assist for the excessive‑high quality improvement of good mobility and logistics.

Pony.ai Founder and CEO Peng Jun mentioned the partnership represents a real fusion of “AI algorithms” and “AI computing energy,” with Moore Threads’ main home excessive‑efficiency GPU capabilities offering robust and dependable computing assist for coaching Pony.ai’s world mannequin and in‑car fashions, serving to construct the following era of clever mobility and logistics infrastructure and accelerating autonomous driving towards massive‑scale utility.

Moore Threads Founder, Chairman and CEO Zhang Jianzhong mentioned the strategic alliance with Pony.ai is the primary deep collaboration between home full‑operate GPU computing energy and main autonomous driving algorithms. He added that it’ll totally showcase the wonderful efficiency and reliability of Moore Threads’ GPUs in excessive‑depth AI coaching and sophisticated bodily simulation situations, representing a key step in supporting nationwide strategic rising industries with unbiased computing energy.

Pony.ai has constructed trade‑main L4 autonomous driving capabilities with its totally self‑developed PonyWorld world mannequin and Digital Driver system, and has change into the primary firm in China to supply totally driverless Robotaxi companies throughout 4 main tier‑one cities. In keeping with Peng, the PonyWorld mannequin, based mostly on reinforcement studying, can produce greater than 10 billion kilometers of testing information per week and generate tons of to hundreds of variations of “hazardous situations,” permitting the Digital Driver to evolve via repeated coaching — enabling security efficiency that far exceeds human driving.

As one in every of China’s uncommon full‑operate GPU leaders, Moore Threads has achieved fast iteration throughout 4 generations of GPU structure beneath its “5 chips in 5 years” plan, constructing a complete product matrix masking synthetic intelligence, scientific computing, and graphics rendering, totally empowering cloud, edge, and finish‑to‑finish situations. The KUAE clever computing cluster constructed on the MTT S5000 platform has reached internationally superior ranges in coaching very massive fashions, offering a strong computing basis for autonomous driving massive‑mannequin coaching. Moore Threads’ distinctive graphics rendering strengths additionally assist autonomous driving simulation, state of affairs reconstruction, and excessive‑constancy visualization, enabling environment friendly full‑hyperlink loops from R&D to testing and validation.

The strategic cooperation carefully aligns with Pony.ai’s clear L4 commercialization roadmap. As of December 31, Pony.ai’s Robotaxi fleet had reached 1,159 automobiles, exceeding annual targets, and its seventh‑era Robotaxi system achieved optimistic unit economics in Guangzhou, marking a key breakthrough in industrial closure. Pony.ai goals to scale its Robotaxi deployments to greater than 3,000 automobiles by the tip of 2026. The partnership with Moore Threads is predicted to enhance L4 autonomous driving mannequin coaching effectivity and general system efficiency, accelerating progress towards that scaling purpose.

Supply:IPOzaozhidao

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