Sunday, December 7, 2025
spot_imgspot_img

Related Posts

Top 5 This Week

Uber and Nvidia Team Up to Deploy 100,000 AI-Powered Robotaxis

Robotaxi self driving car
Zoox Robotaxi. Credit: wikimedia commons / Tomás Del Coro CC BY 2.0

Uber and Nvidia announced Tuesday that they will deploy 100,000 self-driving robotaxis starting in 2027, signaling a major leap toward large-scale autonomous transportation. The collaboration combines Uber’s global ride-hailing network with Nvidia’s powerful artificial intelligence infrastructure to accelerate the rollout of autonomous fleets worldwide.

“Together with Uber, we’re creating a framework for the entire industry to deploy autonomous fleets at scale, powered by Nvidia AI infrastructure,” said Nvidia chief executive Jensen Huang.

Nvidia deepens ties with global automakers

Nvidia also confirmed partnerships with carmakers Stellantis, Lucid, and Mercedes-Benz to “bridge today’s human-driven mobility with the autonomous fleets of tomorrow.” The company is working to position itself at the center of the self-driving ecosystem, providing the computing backbone for the next generation of vehicles.

Artificial intelligence and high-speed internet connectivity are expected to play a crucial role in enabling vehicles to react safely and intelligently in real-time. “Nvidia is the backbone of the AI era and is now fully harnessing that innovation to unleash L4 (Level-4) autonomy at enormous scale,” said Uber chief executive Dara Khosrowshahi.

NEWS: Nvidia today announced it is partnering with Uber to help build the “world’s largest Level 4 autonomous fleet, targeting 100,000 Robotaxis starting in 2027.”

“Nvidia will work with Uber to scale the world’s largest level 4-ready mobility network, using the company’s… pic.twitter.com/kWz3dD7LYg

— Sawyer Merritt (@SawyerMerritt) October 28, 2025

Level-4 autonomous vehicles can handle nearly all driving tasks without human intervention. However, it remains unclear whether Uber plans to include human safety drivers in some regions where such measures are not required by law. The companies also declined to share details about production partners or rollout timelines.

Analysts see ride-hailing as a natural launch channel

Industry experts see the partnership as a logical step for both companies. “Ride-hailing platforms such as Uber are the ideal channels to deploy robotaxis at scale,” said Marc Amblard, managing director of Orsay Consulting. “Nvidia is the natural compute tech partner, working side by side with carmakers.”

Uber already allows users in select U.S. cities to hail robotaxis operated by Google-owned Waymo. Amblard said Uber may also collaborate with Waymo or Chinese autonomous vehicle companies to source technology for its planned robotaxi network.

Global competition intensifies in the robotaxi race

Waymo recently announced plans to launch its robotaxi service in London next year, marking its first foray into Europe after expanding in several U.S. cities.

Meanwhile, Chinese internet giant Baidu announced earlier this year that it plans to introduce robotaxis on the rideshare app Lyft in Germany and the United Kingdom in 2026, pending regulatory approval.

Meet the global leaders accelerating level 4 autonomy with NVIDIA.@Uber, @Stellantis, @MercedesBenz, @LucidMotors, @nuro, @wayve_ai, @Oxa_UA, @PonyAI_tech, @WeRide_ai, @Waabi_ai, and @VolvoGroup are redefining mobility with AI-powered robotaxis and autonomous trucking.

🎥… pic.twitter.com/Pkrq2uNh8q

— NVIDIA DRIVE (@NVIDIADRIVE) October 29, 2025

Baidu has also announced a similar partnership with Uber in Asia and the Middle East as it aims to expand its influence in the global autonomous driving market.

Chinese automakers and tech companies have invested billions of dollars in developing self-driving systems, making intelligent mobility the latest battleground in the country’s fiercely competitive auto industry. Baidu is among several Chinese firms seeking to extend their reach beyond domestic markets.

What was once science fiction

“Robotaxis mark the beginning of a global transformation in mobility—making transportation safer, cleaner and more efficient,” Huang said. “What was once science fiction is fast becoming an everyday reality.”

Popular Articles