The EX90’s industry-leading core computing system is powered by an NVIDIA DRIVE Orin system-on-a-chip (SoC), capable of over 250 trillion operations per second (TOPS). This core compute system orchestrates everything in the car: from powering the deep learning capabilities underpinning Volvo’s AI-based active safety and driving assistance systems, to aiding in the future introduction of safe autonomous driving, and delivering a best-in-class customer experience.
To fully unlock the potential of its software-defined car with a centralized core compute architecture, Volvo is taking its collaboration with NVIDIA to the next level.
Later this decade, Volvo will introduce cars built on NVIDIA DRIVE Thor, which is capable of up to 1,000 TOPS. That’s four times as many operations per second as one DRIVE Orin SoC, while offering seven times greater energy efficiency.
Integrating DRIVE Thor will help further future-proof Volvo’s next generation of cars. DRIVE Thor, which incorporates the NVIDIA Blackwell GPU architecture, will enable the deployment of even more advanced driving assistance and safety features, the development of autonomous driving, and the introduction of generative AI-based capabilities and in-car experiences.
“With NVIDIA DRIVE Thor in our future cars, Volvo’s in-house developed software becomes more scalable across its product line-up, helping to continue improving safety, deliver best-in-class customer experiences, reduce costs, and increase margins,” says Jim Rowan, CEO of Volvo Cars.
To further explore the potential of AI, Volvo Cars, through its fully owned software company Zenseact, is also using the NVIDIA DGX systems—an AI supercomputing platform optimized for large workloads—to develop safe autonomous driving.
The DGX systems for AI model training will be used before deploying to Volvo’s future fleets on the road. With the power of the NVIDIA DGX platform—utilizing its purpose-built AI infrastructure and optimized software stack—Volvo can enhance the efficiency of training both current and future AI models.
Volvo’s long-standing collaboration with NVIDIA and the use of the production-proven NVIDIA DRIVE platform have enabled Volvo to further explore and apply its deep understanding of safety in training large foundation AI models. These models help Volvo’s cars understand the world around them even better, aiming to further improve safety and convenience and develop autonomous driving.
“The NVIDIA DGX AI supercomputer will supercharge our AI training capabilities, making this in-house AI training data center one of the largest in the Nordics,” says Anders Bell, Chief Engineering & Technology Officer at Volvo Cars. “By leveraging NVIDIA technology and setting up the data center, Volvo can pave a quick path to high-performing AI, ultimately helping to make its products safer and better.”
At Volvo Cars, Volvo does not focus on technology for the sake of technology. Instead, Volvo develops human-centric technology that creates value and makes cars safer, improving life without compromising safety.
Volvo’s software-defined cars are a key part of this ambition, integrating next-generation safety, connectivity, data, and software into a single product. Volvo is guided by its technology roadmap, striking a balance between in-house development and strategic partnerships with global tech leaders to ensure both speed and access to the latest cutting-edge technology.