Stellantis Joins Forces with Nvidia, Uber, Foxconn in Robotaxi Revolution

In a major push toward autonomous mobility, Stellantis announced on October 28, 2025, a collaborative partnership with Nvidia, Uber, and Foxconn to develop and deploy a global fleet of Level 4 robotaxis. This alliance aims to integrate Stellantis’ vehicle manufacturing prowess with Nvidia’s AI technology, Uber’s ride-hailing platform, and Foxconn’s hardware expertise, potentially scaling to one of the world’s largest autonomous networks with up to 100,000 vehicles by the late 2020s. As the auto industry races to commercialize self-driving tech amid competition from Tesla and Waymo, this deal positions Stellantis—parent to brands like Chrysler, Fiat, and Jeep—as a key player in the robotaxi ecosystem.

The partnership’s core focuses on creating AV-Ready Platforms optimized for Level 4 autonomy, where vehicles operate without human intervention in designated areas. Stellantis will supply at least 5,000 Nvidia-powered L4 vehicles to Uber for initial robotaxi operations in the United States and internationally, with production slated to begin in 2027 or 2028. Uber plans to expand this to 100,000 vehicles over time, blending human-driven and autonomous services in a unified network to enhance safety, efficiency, and accessibility. The collaboration extends beyond passenger mobility to include potential applications in delivery and freight, leveraging a broad ecosystem of partners like Aurora, Lucid, and Mercedes-Benz.

Nvidia’s contributions form the technological backbone. The vehicles will utilize the Nvidia Drive AGX Hyperion 10 platform, a modular compute and sensor architecture featuring the Drive AGX Thor system-on-a-chip based on Blackwell architecture, delivering over 2,000 FP4 teraflops of AI performance. This includes a safety-certified DriveOS operating system, multimodal sensors (cameras, radars, lidar, ultrasonics), and Drive AV software for end-to-end autonomy, incorporating vision language action models and generative AI for complex urban navigation. Additionally, Nvidia and Uber are co-building an AI data factory on the Nvidia Cosmos platform, curating trillions of miles of real and synthetic driving data to accelerate model training and validation. Nvidia’s Halos Certified Program will ensure physical AI safety through independent evaluations, facilitating scalable deployments.

Uber brings its operational expertise, managing fleet aspects like remote assistance, charging, maintenance, and customer support. The company will integrate these vehicles into its marketplace, collecting over 3 million hours of robotaxi-specific data to refine L4 models. This builds on Uber’s existing AV partnerships, including Waymo and Pony.ai, positioning it as a central hub for autonomous mobility. Stellantis, meanwhile, is developing the physical vehicles, collaborating closely with Foxconn (Hon Hai) on hardware and systems integration to meet robotaxi demands. Foxconn’s role leverages its electronics manufacturing strengths, ensuring efficient production and integration of Nvidia’s tech into Stellantis’ platforms.

The timeline envisions Uber scaling its global fleet starting in 2027, with initial deployments focusing on U.S. cities before expanding worldwide. While specific financial details remain undisclosed, the initiative aligns with booming investments in autonomy, projected to transform the $7 trillion mobility market. Challenges include regulatory hurdles, safety validations, and competition, but the modular design allows over-the-air updates to adapt swiftly.

This partnership not only revives Stellantis’ AV ambitions—previously hampered by setbacks like the paused Wayve collaboration—but also amplifies Nvidia’s dominance in AI hardware and Uber’s shift from in-house development to ecosystem orchestration. For Foxconn, it expands beyond electronics into automotive, capitalizing on EV trends.

Broader implications could reshape urban transportation, reducing emissions and accidents while creating jobs in AI and operations. As Nvidia’s CEO Jensen Huang noted, this ecosystem “makes the world robotaxi-ready,” bridging human and AI mobility. With additional partners like Momenta and WeRide, the alliance fosters innovation, potentially accelerating profitable autonomy by the decade’s end.

In conclusion, this quadripartite deal heralds a new era for robotaxis, combining manufacturing, AI, operations, and integration to deliver scalable, safe autonomous services. As deployments ramp up, it could democratize access to self-driving tech, driving the industry toward a driverless future.