Nvidia and Uber Partner to Deploy 100,000 Robotaxis by 2027
7 Sources
[1]
Nvidia and Uber Say They're Building a 100,000-Vehicle Robotaxi Network
Uber and Nvidia are partnering to build a fleet of 100,000 robotaxis. "This is going to be a new computing platform for us, and I'm expecting it to be quite successful," CEO Jensen Huang said at Nvidia's first-ever Washington D.C. edition of its highly anticipated GTC AI conference. According to
[2]
Nvidia partners with Uber on self-driving cars
Why it matters: The "inflection point" for robotaxis "is about to get here," Nvidia CEO Jensen Huang said at the Nvidia GTC in Washington, D.C. Driving the news: The chip maker unveiled Nvidia Drive AGX Hyperion 10, calling it a "reference compute and sensor architecture" for vehicles that can
[3]
Nvidia enters the robotaxi race with Uber partnership
'There's one robot that is clearly at an inflection point, and it is basically here,' said Nvidia CEO Jensen Huang. Nvidia and Uber are partnering to build a fleet of 100,000 robotaxis and autonomous delivery vehicles, the chip giant said at its artificial intelligence (AI) conference in
[4]
Uber partners with Nvidia to deploy 100,000 robotaxis
San Francisco (United States) (AFP) - Uber and Nvidia on Tuesday announced an alliance to deploy 100,000 robotaxis starting in 2027. "Together with Uber, we're creating a framework for the entire industry to deploy autonomous fleets at scale, powered by Nvidia AI infrastructure," Nvidia chief
[5]
NVIDIA partners with Uber to support global expansion of Robotaxi-vehicles with NVIDIA chips
TL;DR: NVIDIA and Uber have partnered to scale the world's largest Level 4 autonomous ride-hailing network using the NVIDIA DRIVE AGX Hyperion 10 platform. Starting in 2027, Uber aims to deploy over 100,000 AI-powered robotaxis globally, combining human and autonomous drivers for safer, scalable,
[6]
Uber Partners With Nvidia To Scale Autonomous Driving Globally, CEO Dara Khosrowshahi Calls Chipmaker 'Backbone Of The AI Era' - Uber Technologies (NYSE:UBER)
Uber Technologies Inc. (NYSE:UBER) CEO Dara Khosrowshahi has hailed Nvidia Corp. (NASDAQ:NVDA) following the announcement of an autonomous driving partnership between the two companies. Nvidia Is The 'Backbone' Of The AI Era Taking to the social media platform X on Tuesday, Khosrowshahi hailed
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Nvidia and Uber join forces for 100,000 robotaxis by 2027
* Nvidia is partnering with Uber to deploy 100,000 robotaxis by 2027. * This project highlights how Nvidia is leveraging its expertise for autonomous vehicles across all sectors. * Uber will contribute its extensive driving data and operational expertise to support the robotaxis. Nvidia is
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Nvidia and Uber announce ambitious partnership to create world's largest autonomous vehicle fleet using Nvidia's Drive AGX Hyperion 10 platform. The collaboration aims to deploy 100,000 Level-4 robotaxis starting in 2027, with automotive partners including Stellantis, Mercedes-Benz, and Lucid Motors.
Partnership Announcement
Nvidia and Uber announced a groundbreaking partnership at Nvidia's GTC AI conference in Washington D.C. to create what they claim will be the world's largest autonomous vehicle fleet
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. The ambitious collaboration aims to deploy 100,000 robotaxis and autonomous delivery vehicles starting in 2027, marking a significant milestone in the autonomous vehicle industry3
.
Source: Axios
"This is going to be a new computing platform for us, and I'm expecting it to be quite successful," said Nvidia CEO Jensen Huang during the announcement
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. The partnership represents a strategic move for both companies to capitalize on the growing autonomous vehicle market.Technology Platform
The fleet will be powered by Nvidia's latest Drive AGX Hyperion 10 reference system, which the company claims will make vehicles ready for Level-4 automation
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. This technology level means vehicles can drive themselves completely autonomously without a driver ready to take over, as long as they operate within designated areas1
.
Source: Gizmodo
The Drive AGX Hyperion 10 platform features two performance-packed DRIVE AGX Thor in-vehicle platforms based on Nvidia's Blackwell architecture
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. Each platform can deliver over 2000 FP4 teraflops of real-time compute power, enabling the processing of 360-degree sensor inputs optimized for transformer and generative AI workloads.Safety and Redundancy Features
Nvidia executives emphasized the safety aspects of their technology platform. "This entire architecture is architected so if any computer or sensor fails, you can always get yourself to a safe stop," explained Ali Kani, Nvidia's vice president of automotive
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. The system includes comprehensive sensor suites with surround cameras, radars, and lidar technology to achieve what Huang described as "the highest level of surround cocoon, sensor, perception, and redundancy necessary for the highest level of safety"1
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Manufacturing and Deployment Strategy
Unlike competitors such as Tesla and Waymo, Uber will not manufacture the vehicles itself but will focus solely on operating the autonomous ride-hailing network
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. The vehicle manufacturing will be handled by established automotive partners including Stellantis, Mercedes-Benz, and electric vehicle manufacturer Lucid Motors .
Source: Benzinga
This approach allows Uber to leverage existing automotive manufacturing capabilities while focusing on its core competency in ride-hailing operations. "We created this architecture so that every car company in the world could create cars. Vehicles could be commercial, could be passenger, dedicated to robotaxi," Huang explained
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.Market Context and Competition
The announcement comes amid intensifying competition in the autonomous vehicle space. Current market leader Waymo operates approximately 2,000 robotaxis according to recent filings
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, making Uber and Nvidia's 100,000-vehicle target particularly ambitious. Tesla's Elon Musk has made even bolder claims, stating plans for "millions of Teslas operating autonomously" by the second half of next year1
.General Motors recently announced plans to debut "eyes-off" electric vehicles by 2028, adding another competitor to the autonomous vehicle landscape
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. The automotive sector currently represents only about 1% of Nvidia's revenue in its most recently reported quarter, indicating significant growth potential2
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