Daimler takes Nvidia inside car central computer

January 14, 2019 //By Christoph Hammerschmidt
Daimler takes Nvidia inside car central computer
For the next generation of its Mercedes-Benz luxury vehicles, Daimler intends to rely on chip vendor and AI pioneer Nvidia. With the move, the car manufacturer extends and expands an existing collaboration with the Silicon Valley company.

At the CES 2019 which ended past Friday, Daimler Vice President Sajjad Khan and Nvidia CEO Jensen Huang outlined their plans for next-gen AI cars and the new breed of mobility solutions they’ll enable. According to their plans, a Nvidia-based central computer will be at the heart of future Daimler vehicles. 

At the CES a year ago, Daimler introduced the “Mercedes Benz User Experience” (MBUX) – an innovative cockpit design for it’s A-Series compact class and at the same time a concept for driver-car interaction. In the meantime, the MBUX has been implemented in seven vehicle models; nine more are scheduled to follow this year.

The collaboration between the carmaker and the graphics processor top dog will now extend to the entire car, with Nvidia’s computing platform “Nvidia Drive” at the center of an entirely new vehicle architecture, providing enough computing performance, to handle AI software for advanced mobility technologies.

According to the announcement, Daimler intends to replace dozens of dedicated processing units (ECUs) in today’s automotive electronics architecture by a single system that provides all electronic functions including self-driving capabilities and smart-cockpit functions.

Both companies, said Huang, agree that the car of the future will be software defined — starting from creating the software for today’s requirements, anticipating software for tomorrow’s needs and building the computing architecture to enable it. This approach will make next-generation vehicles more capable and more cost effective. What’s more, centralizing and unifying compute in the car will make it easier to integrate and update advanced software features as they become available, whether for self-driving or AI-powered user experiences.

 

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