Deliver AI-defined compute foundation for world’s first personal robocar
Tensor is integrating more than 400 Arm-based cores per vehicle, underpinning its AI-first approach to Level 4 autonomy. Through this partnership, Tensor is leveraging the Arm® compute platform, which unifies hardware, software and ecosystem enablement, to power physical AI workloads spanning the entire vehicle.
Enabling the physical AI revolution
-
AI-defined vehicles -
Robotics
Centralized compute for full vehicle autonomy
Powering the transition from L2+ ADAS to fully autonomous L4 and L5 robotaxis and consumer vehicles,. Arm scalable compute is the foundation for the AI-defined vehicle. It enables the centralized, high-performance processing required for complex sensor fusion, perception, and planning.
Scalable compute from motor control to AI planning
Arm heterogeneous compute architecture provides power-efficient performance for everything from real-time motor control to high-level AI planning, enabling the next generation of advanced robotics, from humanoid robots requiring immense compute for bipedal locomotion and dexterous manipulation to autonomous mobile robots (AMRs) transforming warehouse logistics.
Autonomous mobility
Lenovo scaling L4 robotaxis
Robotics
ROBOTIS powering AI robots
Autonomous mobility
Nuro autonomous driving technology
Latest news and resources
- NEWS and BLOGS
FAQs
What is physical AI?
Physical AI refers to intelligent systems that can sense, decide, and act in the real world. This includes autonomous vehicles, humanoid robots, industrial automation systems, and intelligent drones that operate under real-time, power, and safety constraints.
How does physical AI differ from edge AI?
Edge AI focuses on running AI locally on devices for responsiveness and privacy. Physical AI extends this concept into autonomous systems that must interact safely with the physical world, requiring deterministic real-time performance, functional safety, and scalable compute.
Why is real-time performance critical for physical AI?
Autonomous machines operate in dynamic environments where delays can impact safety and reliability. Deterministic, low-latency compute ensures systems can process sensor data, make decisions, and execute actions predictably and safely.
How does Arm support safety-critical autonomous systems?
Arm provides architectures engineered to support functional safety, along with scalable compute platforms and a mature software ecosystem that enable partners to build standards-aligned, safety-ready systems across automotive, robotics, and industrial markets.
What types of markets does the physical AI business unit support?
The physical AI BU supports AI-defined vehicles, advanced robotics, industrial automation, and other autonomous systems that require efficient, scalable, and safety-capable compute foundations.