Nvidia is bringing together global automakers, AV ecosystem partners and ride-hailing providers to develop level 4-ready robotaxi fleets, beginning in Kaohsiung.
At a glance
Who: Nvidia; Foxconn; VinFast; Autobrains.
What: Nvidia is collaborating with automakers, tier 1 suppliers, software and mobility providers in Asia, Europe and the Middle East to scale robotaxi deployments.
Why: To enable the global automotive industry to build and scale robotaxi and AV fleets.
When: Kaohsiung in Taiwan is being targeted as the first city for deployment.
Nvidia has announced it is collaborating with automakers, tier 1 suppliers, software and mobility providers in Asia, Europe and the Middle East to scale robotaxi deployments.
Foxconn is expanding its strategic collaboration with Nvidia to accelerate the development and planned deployment of level 4-ready robotaxi fleets built on Nvidia’s robotaxi-ready platform ecosystem.
The effort combines Foxconn’s contract design and manufacturing services with Nvidia’s Drive Hyperion platform to support the rapid integration, scaling and deployment of level 4 electric vehicles – starting in Taiwan, with Kaohsiung expected to serve as an early deployment city, and expanding across Asia.
Nvidia claims as more manufacturers, AV developers and mobility partners join the Drive Hyperion ecosystem, it is the only company offering a level 4-ready platform that enables the global automotive industry to build and scale robotaxi and AV fleets.
“Autonomous mobility is entering its industrial scaling moment. Vehicles are becoming robots, and robotaxi fleets will require AI infrastructure that can perceive, reason and operate safely in the real world,” said Jensen Huang, founder and CEO of Nvidia.
“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”
“Nvidia Drive Hyperion gives the world’s automakers, AV developers and mobility networks a common level 4-ready foundation – uniting compute, sensors, safety software and a global ecosystem to bring robotaxis from pilots to everyday transportation at scale.”
According to Nvidia, the collaboration reinforces Taiwan’s role in the global autonomous mobility ecosystem, building a scalable, safety-focused robotaxi platform to advance more efficient urban transportation. 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.”
Meanwhile, VinFast is working with Autobrains to bring level 4 vehicles built on Nvidia Drive Hyperion to Southeast Asia, combining VinFast’s vehicle development and manufacturing capabilities with Autobrains’ autonomous driving software stack.
“Vehicles are becoming robots, and robotaxi fleets will require AI infrastructure that can perceive, reason and operate safely in the real world”
“Advanced mobility shouldn’t be a luxury,” said Duong Nguyen, deputy CEO of Adas at VinFast Global. “VinFast is committed to building scalable and accessible autonomous driving solutions through collaboration with global technology leaders. Together with Autobrains and Nvidia, we are exploring a practical and cost-efficient path toward level 4 mobility for Southeast 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 Nvidia Drive Hyperion, integrating Autobrains’ agentic AI autonomous driving software to support scalable, level 4-ready robotaxi operations. The effort further expands Uber’s growing reach in the European ride-hailing market, with more details on the selected automaker to be announced later this year.
“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, global head of autonomous mobility and delivery at Uber. “This programme creates a new path to do that by combining vehicle-agnostic autonomy, leading AI compute and Uber’s ride-hailing platform.”
Why not try these links to see what our SmartCitiesWorld AI can tell you.
(Please note this is an experimental service)
How will Nvidia Drive Hyperion enable rapid level 4 robotaxi integration?Which sensor and compute combinations optimize safety for scaled robotaxi fleets?How can Foxconn's manufacturing accelerate deployment timelines for urban robotaxi services?What operational metrics should Kaohsiung monitor to evaluate robotaxi pilot success?How will ride-hailing integration with AV platforms improve fleet utilization rates?