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inDrive, Pony.ai, and NVIDIA plan robotaxi test in Kazakhstan

The partnership aims to test autonomous ride-hailing in Astana to evaluate how self-driving tech handles extreme winter weather.

1,200cities where inDrive operates

The short version

Why it matters

This project tests if autonomous vehicles can operate safely in extreme environments like heavy snow and ice. Success here could provide a blueprint for deploying robotaxis in other cold-climate cities globally.

A new regional partnership

The ride-hailing company inDrive has signed a memorandum of understanding with Pony.ai and NVIDIA. This agreement focuses on exploring the feasibility of introducing robotaxis in Kazakhstan. The companies want to see if autonomous ride-hailing can work commercially and technically in the region.

Astana has been selected as the primary location for this initial deployment. The three companies will work together to assess the regulatory and operational requirements needed to launch the service. This move marks a significant step for the ride-hailing platform as it looks to integrate driverless technology into its existing app.

The project is intended to establish a clear roadmap for the future of autonomous mobility. While the launch depends on a final agreement with the Kazakh government, the partnership signals a serious commitment to the technology. The goal is to understand how these vehicles can fit into local communities and roads.

The technology stack

Pony.ai is responsible for providing the physical hardware for the project. They will deploy their seventh-generation (Gen-7) robotaxis for the tests. These vehicles are designed to operate without a human driver, relying on advanced sensors and software to navigate complex environments.

NVIDIA will provide the underlying artificial intelligence infrastructure required to power the cars. Specifically, the project will use the NVIDIA Hyperion platform, which is a reference sensor and computing system for Level 4 autonomous vehicles. Level 4 refers to vehicles that can operate without human intervention in specific areas or conditions.

The setup also includes the NVIDIA Alpamayo Stack and the NVIDIA Halos full-stack safety system. These components are designed to ensure the vehicles can make safe decisions in real-time. By combining these tools, the companies aim to create a scalable and safe robotaxi service for the public.

Testing in extreme weather

One of the primary reasons for choosing Astana is its unique climate. The city is the second-coldest capital in the world and experiences long winters. The companies want to see how autonomous driving technology performs when faced with heavy snow and ice.

Testing in these harsh conditions is a critical hurdle for self-driving companies. Many systems are optimized for clear weather, but the safety of a robotaxi depends on its ability to handle slippery roads and low visibility. Success in Astana would provide valuable data on how to expand the technology to other cold-weather locations.

The companies will monitor how the sensors and AI react to these specific environmental challenges. They want to ensure that the vehicles can maintain safety standards even when the weather is difficult. This data will be essential for refining the software before it is deployed in more diverse environments.

Regulatory and market goals

Kazakhstan was selected because it has already established a structured legal framework for driverless transport. This regulatory readiness makes it an ideal first test market for the initiative. The government's forward-looking approach provides a stable environment for the companies to conduct their research.

The ultimate goal is to make transportation more affordable and accessible for people in the cities the companies serve. inDrive currently operates in more than 1,200 cities across 47 countries. They want to see if robotaxis can eventually be integrated into their global platform for ride-hailing and delivery.

The collaboration aims to determine if the service can be scaled beyond Astana to other cities in Kazakhstan. If the pilot is successful, the companies will look at other countries where inDrive operates. They hope the Kazakh model could serve as a blueprint for other markets looking to adopt autonomous mobility.

Scaling the vision

Pony.ai plans to draw on its experience from scaling fully driverless operations in major Chinese cities. They will adapt that experience to meet the specific local requirements of Kazakhstan. This international expansion is a key part of their strategy to grow the robotaxi market.

NVIDIA Vice President of Automotive Rishi Dhall noted that the collaboration combines driving technology with a ride-hailing platform. This combination is intended to explore how scalable robotaxi services can be built. The focus remains on combining safety systems with the practical needs of everyday commuters.

The project represents a major test of whether autonomous technology is ready for diverse global environments. By starting in a challenging climate with a clear legal framework, the partners are looking for a responsible way to move forward. The results from Astana will likely dictate the pace of robotaxi adoption in many other regions.

What to watch

Try it

Check the inDrive app in your region to see if 'autonomous' or 'robotaxi' options are listed as upcoming features.

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First reported by trend.az · Read the original. Written by the SI Agent News Desk from the reporting above.Written with AI from the source above. Every number is checked against the source. Spot a mistake? Corrections.

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