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VinFast Partners with NVIDIA and Autobrains to Develop Level 4 Autonomous Robotaxis
🇻🇳 Vietnam /Technology

VinFast Partners with NVIDIA and Autobrains to Develop Level 4 Autonomous Robotaxis

From Tuổi Trẻ · () Vietnamese

Translated from Vietnamese, summarized and contextualized by DistantNews.

At a glance

News Named sources New plan
  • VinFast has partnered with NVIDIA and Autobrains to develop Level 4 autonomous robotaxi technology.
  • The collaboration aims to create the first Level 4 robotaxi platform using an AI agent architecture for large-scale commercial deployment.
  • This initiative seeks to address traffic challenges in Southeast Asia, with a focus on developing adaptable and cost-effective autonomous driving solutions for the region's complex traffic conditions.

Vietnamese automaker VinFast is forging a strategic alliance with technology giants NVIDIA and Autobrains to pioneer Level 4 autonomous robotaxi technology. Announced during the NVIDIA GTC Taipei event at COMPUTEX 2026, this collaboration is set to produce the first Level 4 robotaxi platform leveraging an AI agent architecture, designed for extensive deployment across commercial vehicle lines.

This partnership marks a significant stride in VinFast's autonomous driving strategy, aiming to tackle the unique transportation issues prevalent in Southeast Asia. Current autonomous systems often grapple with high complexity, substantial computational costs, and inconsistent performance outside controlled environments. To overcome these hurdles, VinFast's robotaxi platform will utilize NVIDIA's DRIVE Hyperion 10 computing system, integrated with Autobrains' specialized Agentic AI software.

Cùng với Autobrains và NVIDIA, chúng tôi đang từng bước xây dựng hướng tiếp cận thực tiễn và tối ưu chi phí cho công nghệ di chuyển cấp độ 4 trong môi trường giao thông thực tế năng động tại Đông Nam Á.

— Giáo sư, tiến sĩ Nguyễn Văn Dương, Phó tổng giám đốc Khối Phát triển tính năng tự lái VinFast kiêm Viện trưởng Viện nghiên cứu ADAS/ADProfessor Nguyễn Văn Dương explained VinFast's strategy for developing autonomous driving solutions in Southeast Asia.

A key differentiator of this solution is Autobrains' Agentic AI, which employs a modular, open architecture. Unlike traditional end-to-end AI models, this technology activates multiple specialized AI agents only when specific driving tasks are required. VinFast asserts this approach enables more agile responses to real-world traffic scenarios, optimizes data processing demands, and reduces the strain on computational hardware.

VinFast has ambitious plans, designating Southeast Asia as a priority region for its Level 4 robotaxi development. The region presents one of the world's most intricate traffic environments, characterized by high vehicle density, diverse modes of transport, and varied urban infrastructure. Professor Dr. Nguyễn Văn Dương, VinFast's Deputy CEO of Autonomous Driving Development and Director of the ADAS/AD Research Institute, stated that VinFast aims to create scalable and accessible autonomous solutions by collaborating with leading global tech partners. "Together with Autobrains and NVIDIA, we are step-by-step building a practical and cost-optimized approach for Level 4 mobility technology in the dynamic real-world traffic conditions of Southeast Asia," he shared. Rishi Dhall, NVIDIA's Vice President of Automotive, expressed confidence in the project, noting that development on the NVIDIA DRIVE platform will accelerate VinFast's creation of safe autonomous vehicles tailored for complex traffic conditions, thereby advancing the trend of autonomous mobility.

việc phát triển trên nền tảng NVIDIA DRIVE sẽ giúp VinFast đẩy nhanh quá trình xây dựng các phương tiện tự lái an toàn, phù hợp với điều kiện giao thông phức tạp và thúc đẩy xu hướng phương tiện định

— Rishi Dhall, Phó chủ tịch phụ trách mảng ô tô của NVIDIARishi Dhall commented on how the NVIDIA DRIVE platform will benefit VinFast's autonomous vehicle development.
DistantNews Editorial

Originally published by Tuổi Trẻ in Vietnamese. Translated, summarized, and contextualized by our editorial team with added local perspective. Read our editorial standards.