Toyota and Nvidia announced a partnership to address physical AI across not only automotive but also robotics and smart facilities, starting with the car.
Toyota is building next-generation vehicles on a video drive HDX platform with safety-certified drive-force for advanced L2+ learning capabilities, said Deepu Talla, vice president of robotics and Edge AI at Nvidia, in a press briefing.
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
are working together to build that future — connecting AI across vehicles, infrastructure
and industrial operations.
In factories, Toyota is creating digital twins or production lines with Nvidia Omniverse and Nvidia Assistant to accelerate automotive software development. Toyota is integrating Nvidia Nemotron to train and fine-tune its code-assisted parts.
And lastly, as a part of Toyota’s broader smart city vision, Toyota is developing AI-driven urban mobility systems and traffic intelligence using Nvidia platforms.
Talla said that Japan has an industrial base, developer ecosystem, and AI ambition to lead in AI.
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,
in support of the company’s vision for safer mobility.
“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.”
Nvidia and Toyota’s latest work spans:
● Accelerating safe, intelligent vehicles: 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.
● Software engineering: As vehicles become increasingly software-defined, Toyota is
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.
● Factory simulation: Toyota is 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.
● Multimodal Vision Language Model: Woven by Toyota (a Toyota subsidiary), has
developed Woven City AI Vision Engine, 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.