A major step toward scaling autonomous mobility across Europe. Lucid and Bolt are partnering to accelerate autonomous mobility across Europe, with plans to develop and deploy at least 25,000 autonomous Lucid vehicles. Combining Lucid's software-defined vehicle platform with Bolt's operating infrastructure and mobility expertise, we're building a solution designed to rapidly scale manufacturing and deployment across the continent. Read more here:

Fully driverless mobility starts with safety built into every layer. In Zagreb, our Gen-7 Robotaxi uses a Pony.ai-developed domain controller built on @NVIDIADRIVE AGX and safety-certified DRIVE OS, backed by 360° sensing and fail-operational redundancy. More:

London, your ride has arrived. 🇬🇧 Today, Wayve and @Uber launch supervised autonomous rides across all of London (except airports) - the first time the public can experience the Wayve AI Driver and the first autonomous trips available in the UK. Taking your first ride? Tag us and we’ll send a little thank-you for becoming part of our history. 👋 #RideWithWayve#

We’re putting our chips on the table. Learn more about our approach to engineering compute for fully autonomous driving and how we collaborate with industry leaders including AMD, Micron, NVIDIA, Samsung, Sandisk, Socionext, and TSMC to build the most capable computing system on the road:

Using @NVIDIA Cosmos with RoadRunner, MATLAB, and Simulink, engineers can generate realistic driving scenes while preserving road geometry, vehicle positions, and motion. Learn how World Scenario Videos (WSVs) help advance autonomous driving workflows:

Original then, original now at NVIDIA HQ. The @Jaguar Type 01, powered by NVIDIA DRIVE, joined a classic 1966 Jaguar E-Type at HQ, where the team caught up with @JensenHuang ahead of #MontereyCarWeek#.

NVIDIA's Matt Cragun on why self-driving has been perpetually 5 years away for the last 12 years and the long tail problem NVIDIA is finally solving: "Self-driving cars have been perpetually five years away for the last twelve years or however long it's been. The real challenge for everybody is how do you take care of what we call the long tail. The things you don't experience very often on the road but typically are the things you worry the most about." "The benefit of having a really large model, especially Alpamayo, it's been trained as a reasoning model. Not only does it see what you see or have perception, it also is able to think about how it should behave or what it should do." "Using the reasoning capability allows us to solve challenges that we wouldn't be able to solve with just a rule-based system. Being able to solve the long tail is really what we're trying to tackle. That's really the problem that everybody in AV is working on." "As we work further through that long tail of events, we get more and more confidence in the technology that we can deploy in a way that's safe." @nvidia