In a landmark announcement at GTC Washington, D.C., NVIDIA revealed its partnership with Uber to build the world’s largest Level 4 autonomous mobility network. This collaboration marks a major leap toward scalable robotaxi and autonomous delivery fleets, powered by NVIDIA’s cutting-edge DRIVE AGX Hyperion 10 platform.
🔧 What’s Under the Hood: DRIVE AGX Hyperion 10
NVIDIA’s DRIVE AGX Hyperion 10 is a modular, production-ready platform that equips vehicles with a validated sensor suite and compute architecture. It includes:
- Dual DRIVE AGX Thor systems delivering over 2,000 FP4 teraflops
- 14 HD cameras, 9 radars, 1 lidar, and 12 ultrasonics
- Safety-certified DriveOS and cybersecurity standards
This setup enables manufacturers to deploy Level 4-ready vehicles with seamless over-the-air updates and integration flexibility.
🌍 Scaling Global Autonomy with Uber
Uber plans to begin scaling its autonomous fleet in 2027, targeting 100,000 vehicles. These will operate within a unified ride-hailing network that blends human and robot drivers. A joint AI data factory built on NVIDIA Cosmos will support this expansion, curating massive datasets for AV development.
🤝 Ecosystem Momentum
The partnership is backed by a growing Level 4 ecosystem:
- Automakers: Stellantis, Lucid, Mercedes-Benz
- Freight: Aurora, Volvo Autonomous Solutions, Waabi
- Robotaxi innovators: Avride, May Mobility, Momenta, Nuro, Pony.ai, Wayve, WeRide
Each is leveraging NVIDIA’s full-stack AV software and hardware to accelerate deployment.
🧠 Generative AI Meets Real-World Driving
NVIDIA is integrating foundation models and reasoning VLA (Vision-Language-Action) models into AVs, enabling human-like decision-making in complex urban scenarios. These models are trained on trillions of real and synthetic miles and validated using Foretellix’s Foretify Physical AI toolchain.
🛡️ Safety First: NVIDIA Halos Certified Program
To ensure trust and safety, NVIDIA launched the Halos Certified Program—the industry’s first system for evaluating physical AI safety. The Halos AI Systems Inspection Lab, accredited by ANSI, will oversee certification for autonomous vehicles and robotics.