Nvidia is bringing together global automakers, manufacturing and autonomous vehicle (AV) software developers along with ride-hailing mobility providers to build and expand level four-ready robotaxi fleets.

This is seen as a major expansion of Nvidia’s Drive Hyperion robotaxi-ready platform ecosystem. Drive Hyperion provides the global transportation industry with a safe, scalable, level four-ready platform built on the Halos full-stack safety system for physical AI. It combines Drive AGX in-vehicle compute and Halos OS with a compatible multimodal sensor suite and Drive AV software purpose-built for automated and autonomous driving capabilities.

“Autonomous mobility is entering its industrial scaling moment,” said Jensen Huang, CEO of Nvidia (www.nvidia.com). “Vehicles are becoming robots, and robotaxi fleets will require AI infrastructure that can perceive, reason and operate safely in the real world. Nvidia Drive Hyperion gives the world’s automakers, AV developers and mobility networks a common level four-ready foundation uniting compute, sensors, safety software and a global ecosystem to bring robotaxis from pilots to everyday transportation at scale.”

Nvidia is collaborating with automakers, tier-one suppliers, software and mobility providers in Asia, Europe and the Middle East to scale robotaxi deployments.

Taiwanese firm Foxconn is expanding its collaboration with Nvidia to accelerate the development and planned deployment of level four-ready robotaxi fleets. The effort combines Foxconn’s contract design and manufacturing services with Drive Hyperion to support the rapid integration, scaling and deployment of level-four electric vehicles, starting in Taiwan, with Kaohsiung expected to serve as an early deployment city, and expanding across Asia.

Foxconn plans to launch a robotaxi service in 2028, starting with airport-to-city routes and later expanding along corridors linked to Taiwan’s high-speed rail network.

“Kaohsiung city is proud to support the vision of building Taiwan into a global leader in smart transportation and physical AI innovation,” said Chen Chi-mai, mayor of Kaohsiung. “The collaboration between Foxconn, Foxtron and Nvidia represents an important milestone in accelerating Taiwan’s transformation into a world-class smart city ecosystem. As Taiwan’s major industrial and innovation hub, Kaohsiung is actively investing in smart infrastructure, green mobility and AI-driven urban development. We look forward to participating in future smart transportation initiatives, including robotaxi applications and intelligent traffic systems, to create safer, smarter and more sustainable cities for the next generation.”

Young Liu, chairman of Foxconn (www.foxconn.com), added: “Autonomous mobility is a strategic focus of Foxconn’s EV initiative. By leveraging strategic partnerships and Nvidia’s capabilities, we are accelerating the deployment of level-four robotaxi technology, with Foxconn providing high-performance computing and sensor integration to enable a worldwide rollout across communities and cities.”

VinFast is working with Autobrains to bring level-four vehicles built on Drive Hyperion to south-east Asia, combining VinFast’s vehicle development and manufacturing capabilities with Autobrains’ autonomous driving software stack.

“Advanced mobility shouldn’t be a luxury,” said Duong Nguyen, deputy CEO of ADAS at VinFast (vinfast.com). “VinFast is committed to building scalable and accessible autonomous driving through collaboration with global technology leaders. Together with Autobrains and Nvidia, we are exploring a practical and cost-efficient path towards level-four mobility for south-east Asia’s highly dynamic real-world traffic environments.”

In Europe, Uber is also working with Autobrains to launch a robotaxi programme in Munich built on Drive Hyperion, integrating Autobrains’ agentic AI autonomous driving software to support scalable, level four-ready robotaxi operations.

“For automakers and autonomy developers, the challenge is not just building autonomous vehicles, it’s bringing them into a commercial network where they can reliably serve riders at scale,” said Sarfraz Maredia from Uber (www.uber.com). “This programme creates a new path to do that by combining vehicle-agnostic autonomy, leading AI compute and Uber’s ride-hailing platform.”

Igal Raichelgauz, CEO of Autobrains (autobrains.ai), added: “Autonomous driving will not scale by relying on a single model to solve every driving scenario. It requires systems that can reason, adapt and make decisions under uncertainty. With Uber and Nvidia, we are bringing Autobrains’ agentic AI into autonomous ride-hailing, combining reasoning-based driving intelligence with the mobility platform and automotive compute needed to support scalable robotaxi operations across cities, vehicles and real-world conditions.”