Pony.ai Secures Permit for Driverless Robotaxi Operations in Shenzhen

Mar 29, 2025
Pony.ai has become the first company to receive a permit for fully driverless robotaxi operations in Shenzhen's city centers, expanding its services to the Nanshan District.

Pony.ai has become the first company to receive a permit for fully driverless robotaxi operations in Shenzhen's city centers, announced in a press release. The permit allows Pony.ai to operate paid autonomous ride-hailing services in the Nanshan District, a significant economic hub with nearly 2 million residents.

This new authorization enables Pony.ai to expand its commercial operations, connecting Nanshan with its existing service area in the Baoan District. This expansion marks the establishment of Shenzhen's first cross-district driverless network, linking key urban areas and infrastructure, including Shenzhen Baoan International Airport.

Pony.ai's fleet has demonstrated strong performance in Shenzhen's challenging urban environment, characterized by heavy traffic and complex road conditions. The company continues to lead in autonomous mobility innovation across China's major cities, with its robotaxis already operational in Beijing and Guangzhou.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Robotics Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

Robotics Brief

Weekly coverage of AI-driven robotics advances in industrial automation, autonomous vehicles, and robotic systems.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.