Nvidia and Uber Team Up to Deploy AI Robotaxis Across 28 Cities by 2028
Nvidia has announced a full autonomous driving platform at GTC 2026, with Uber as the first major deployment partner and BYD, Hyundai and Nissan joining the platform.
What happened
At its GTC 2026 conference this week, Nvidia announced a complete end-to-end autonomous driving technology stack and revealed that Uber will be the first major platform to deploy it at scale. The deal covers 28 cities across four continents by 2028, with Uber using Nvidia's Drive AV system to power robotaxi services.
Nvidia CEO Jensen Huang described the moment as "the ChatGPT moment for self-driving cars", suggesting the technology has hit an inflection point similar to when large language models became accessible to ordinary people. The company also confirmed that BYD, Hyundai, Nissan and Geely have joined its robotaxi-ready platform, giving the technology significant global automotive backing.
The underlying system uses a 10 billion parameter AI model and is part of Nvidia's broader push into what it calls "physical AI", the extension of artificial intelligence from software into machines that move in the real world.
What this means for your business
For most UK businesses, fully autonomous taxis are still a few years away from being a daily reality. But the Uber partnership means this timeline has accelerated in a meaningful way. If your business has anything to do with logistics, delivery, fleet management or transport, the commercial pressure from autonomous vehicles is building faster than most people expected.
More immediately, Nvidia's physical AI push signals where the serious AI investment is heading. The companies building the infrastructure for autonomous systems are attracting the same scale of capital and talent that went into large language models two years ago. If you are in manufacturing, logistics or any sector with physical operations, the next wave of AI disruption will not be chatbots. It will be machines.
For UK businesses with no immediate connection to transport, the story still matters as a signal: AI capabilities that seemed experimental in 2024 are becoming deployable infrastructure in 2026.
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