Skip to main content
  1. Home
  2. Cars
  3. News

Volvo and Nvidia team up to make self-driving cars smarter

Add as a preferred source on Google

Volvo and Nvidia are adding another thread to the growing web of corporate self-driving car partnerships. Under a new arrangement, Nvidia will provide a computing platform for Volvo’s autonomous cars.

Nvidia is basically joining an existing team consisting of Volvo, automotive supplier Autoliv, and Zenuity, a joint venture of Volvo and Autoliv created to develop software for self-driving cars. While those three partners have the software covered, Nvidia will provide the computers to run it on.

Recommended Videos

The tech company’s contribution will likely take the form of its Drive PX 2 platform, a hardware set designed specifically for self-driving cars. Volvo already uses Drive PX 2 in the handful of prototype self-driving cars it’s testing in Gothenburg, Sweden, under the “Drive Me” program. Drive PX 2 is also the brain of Roborace’s autonomous race cars.

Together with its partners, Volvo believes it can develop self-driving cars with some degree of decision-making capability. The term “artificial intelligence” gets thrown around a lot these days, but autonomous cars will need to be able to “think” for themselves in order to be as responsive as human drivers. Whether that capability can actually be developed remains unclear, but AI has become something of a buzzword in the autonomous-car field. Toyota is working with MIT and Stanford on its own AI project, and Audi hopes to develop software with some “learning” capacity for its future production cars.

Under the agreement, Zenuity will take the lead in developing self-driving car software, which will be used in Volvo’s cars. However, Autoliv will have the option to market the software to third parties. Volvo hopes to put Level 4 autonomous cars on the road by 2021. That means they’ll be able to drive themselves nearly all of the time, but may need human intervention in certain situations. Level 5 autonomous cars don’t require any human input, but the technological gap between Level 4 and Level 5 is pretty big.

Nvidia is aggressively growing its self-driving car business. It has additional partnerships with Audi, Mercedes-Benz, and Toyota notes Reuters. It’s also working with automotive supplier Bosch on a new computer that will be smaller and lighter than the current Drive PX 2 computer.

Stephen Edelstein
Stephen is a freelance automotive journalist covering all things cars. He likes anything with four wheels, from classic cars…
iOS 26.4 adds ChatGPT to you car’s infotainment screen
Apple's iOS 26.4 brings ChatGPT, Gemini, and Claude to your car's screen, adds calming ambient music widgets, and previews the in-car video future that drivers have been waiting for.
CarPlay shown in March 2025.

Apple rolled out iOS 26.4 recently, and while your iPhone got several upgrades, CarPlay quietly had one of its best days in years. The latest iPhone updates bring two meaningful features that can change the way you use CarPlay on your car’s infotainment screen. 

Would you use ChatGPT while driving?

Read more
Sony and Honda’s electric car dream with Afeela series is officially dead 
Sony Honda Mobility has shelved the Afeela 1 and its follow-up, and the EV market has another high-profile casualty.
Machine, Wheel, Adult

Sony and Honda’s shared dream of launching an electric car has just come to an end. The joint venture between the two brands — Sony Honda Mobility — has just announced that plans for the upcoming Afeela 1 electric car have been shelved. Additionally, the follow-up model has been nixed from the roadmap. 

But why did the Afeela go?

Read more
This AI checks if your driving habits signal crash risk
Researchers say eye tracking, heart rate, and personality data can flag risk early.
Person, Wristwatch, Car

A new AI model is taking aim at a question most drivers don’t ask soon enough. How likely are you to crash before you even start the engine?

The system looks at how you behave behind the wheel, pulling in signals like eye movement, heart rate, and personality traits to flag warning patterns early. Instead of waiting for real-world mistakes, it relies on simulated driving tests to surface behaviors linked to dangerous outcomes.

Read more