From self-driving cars to cities, the next era of mobility will be defined by AI-enabled systems that can perceive, reason and safely act in the physical world. Toyota and Nvidia have partnered to build a future connecting AI across vehicles, infrastructure and industrial operations.
This builds on last year’s announcement that Toyota will develop next-generation vehicles with advanced driver-assistance capabilities (L2++) built on Nvidia Drive AGX and running the safety-certified Nvidia DriveOS operating system.
Nvidia has enabled Toyota to tap into Nvidia accelerated computing, AI software and simulation technologies to develop safer, more intelligent vehicles, optimize automotive engineering workflows, fine-tune factory operations and power urban intelligence systems.
“Physical AI will bring intelligence to every moving machine from cars, robots and trucks to the cities and factories they operate in,” said Rishi Dhall, vice president of automotive at Nvidia. “Together, Toyota and Nvidia are building the AI infrastructure for a new era of mobility, where vehicles can become more autonomous, manufacturing more AI-defined and urban environments more intelligent, responsive and safe.”
Latest work
Toyota is building next-generation vehicles with advanced driver-assistance capabilities using Nvidia Drive AGX running the safety-certified Nvidia DriveOS operating system. These vehicles will deliver L2++ functionality, enabling more intelligent, context-aware driving while maintaining Toyota’s rigorous safety standards.
As vehicles become increasingly software-defined, the company is also accelerating vehicle software engineering with a MISRA-compliant Code Assistant AI model, trained and fine-tuned using Nvidia Megatron-LM, and referencing various datasets including Nvidia Nemotron. By applying a custom automotive AI model to improve automotive-specific code generation and review, Toyota engineers can generate, review and validate safety-critical code more efficiently, accelerating development while adhering to stringent automotive compliance.
The OEM is also bringing simulation to the manufacturing floor using Nvidia Omniverse libraries and the Nvidia Isaac Sim open framework for factory and robotics workflows, robot movement simulation and broader digital twin environments to optimize manufacturing operations. This simulation-first approach reduces downtime, improves efficiency, lowers costs and enables continuous optimization across production environments.
At the same time, Toyota subsidiary Woven by Toyota has developed a multimodal vision-language model for urban traffic intelligence, using Nvidia H100 Tensor Core GPUs and Megatron-Core. The model is designed to help interpret real-world conditions, anticipate what happens next and support responses across mobility and infrastructure systems.
In related news, Nvidia launches Alpamayo 2 Super for reasoning-based autonomous driving