At Tensor, we aren’t just building a self-driving car; we are engineering the world’s first agentic AI personal Robocar. To bring Level 4 autonomy to the driveway of every consumer, we had to rethink the vehicle from the ground up. Today, we are proud to announce a multi-year strategic collaboration with Arm to provide the foundational compute architecture that makes this vision a reality.

Why the "Foundational" Compute Matters

Building an autonomous system is a challenge of Physical AI. Unlike a chatbot in a data center, a Robocar must sense, decide, and act in milliseconds within a high-stakes, real-world environment. It requires uncompromising reliability, extreme power efficiency, and—most importantly—absolute safety.

By integrating 433 Arm-based cores into every single vehicle, Tensor has achieved the highest concentration of Arm technology in any consumer vehicle on the road today. This isn't just about raw horsepower; it’s about distributed intelligence.
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The Silicon "Nervous System"

To navigate complex urban environments, the Tensor Robocar relies on a massive sensor suite: 37 cameras, 5 Lidars, 11 radars, and dozens of environmental detectors. Processing that much data in real-time requires a specialized hierarchy of compute:

• High-Throughput AI: Leveraging Arm Neoverse® AE for the heavy lifting of AI processing.
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• Real-Time Safety: Using Cortex®-R and Cortex®-M cores for low-power management and safety-critical systems that can never afford a "lag" or a "crash."
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• Agentic Control: Utilizing Cortex®-X to power the "brain" of the cabin and peak system performance.
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The Critical Role of the Arm Ecosystem

Why is a partner like Arm critical for Tensor? It comes down to safety and scale.

Safety-First Engineering

In the world of autonomous driving, "good enough" doesn't exist. Arm’s decades of leadership in functional safety and certified automotive standards provide the "trust layer" for our proprietary autonomy stack. This collaboration ensures that as our AI models evolve, they are running on hardware specifically designed to meet the world’s most stringent automotive safety requirements.

Scalability in Physical AI

With an ecosystem of over 22 million developers, Arm provides the toolchains and industry standards that allow us to scale. As we prepare for global commercialization in the US, EU, and Middle East, having a unified hardware/software platform means we can deploy complex AI workloads across different compute domains seamlessly.

“Autonomous vehicles are a leading example of how AI is shifting to the physical world, requiring world-class, high-performance, safe and power-efficient compute foundations to transform the future of mobility in meaningful and tangible ways,” said Drew Henry, EVP of Physical AI Business Unit, Arm. “Combined with a deeply established software ecosystem that delivers critical toolchains, safety certification, and industry standards, Arm provides the foundation for pioneering physical AI innovation. Tensor’s Robocar is a standout example of that innovation in action, pairing a clear vision with the engineering rigor needed to bring autonomy to market at scale.”

The Road Ahead

We are defining the vehicle around intelligence, rather than forcing autonomy onto legacy platforms. By partnering with industry titans like Arm, and working alongside our broader ecosystem including NVIDIA, AMD, and Qualcomm, we are ensuring that the Tensor Robocar isn't just the most advanced vehicle ever mass-produced—it’s the safest.

The future of mobility is agentic, it is electric, and it is powered by Tensor and Arm.

Are you ready to let go of the wheel?