The Tensor Robocar, a Level 4 ADAS vehicle being launched this year, has 433 safety-capable, power-efficient Arm-based cores in each vehicle.

The San Jose car company is defining its vehicle around Arm’s compute intelligence rather than fitting ADAS technology onto legacy platforms.

The Robocar claims to have the world’s most vertically integrated Level 4 autonomy stack, a sensor suite of 37 cameras, five lidars, 11 radars, 22 microphones, 10 ultrasonic sensors, three IMUs, GNSS, 16 collision detectors, eight water-level detectors, four tyre-pressure sensors, a smoke detector and triple-channel 5G connectivity.

Tensor Robocar hooks up with Arm

This depth of hardware and software integration aims to enable continuous perception, environmental awareness and resilient system performance across diverse operating conditions.

To make this possible, Tensor is using the Arm compute platform to distribute safety-capable intelligence across the vehicle – from the onboard supercomputer to the smallest sensors.

Each Tensor Robocar incorporates 433 Arm-based cores, including Neoverse AE for high-throughput AI processing, Cortex-X for agentic AI cabin and peak performance system control, Cortex-A for drive-by-wire, lidars, redundancy and general compute, Cortex-R for real-time safety-critical systems and Cortex-M for low-power subsystem management.

The Arm compute platform enables Tensor to deploy AI workloads across diverse compute domains while meeting stringent automotive safety, thermal and power requirements, operating in concert with NVIDIA-accelerated AI processing to support Tensor’s proprietary autonomy stack.

Instead of focusing on robotaxi fleets like Waymo, Tensor aims have its cars, which are manufactured by VinFast, sold directly to consumers as Level 4 autonomous vehicles.

Tensor Robocar “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, executive vice-president 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 rigour needed to bring autonomy to market at scale.”

“Delivering personal autonomous vehicles at scale requires more than breakthrough AI and autonomy, it demands advanced engineering for safety, redundancy, reliability, and power efficiency,” said Dr Jewel Li, Tensor COO. “Our collaboration with Arm leverages their deep, decades-long expertise and leadership in AI-capable compute, which alongside our broader ecosystem of strategic partners ensures that the Tensor Robocar moves seamlessly from advanced technology to real-world roads, safely and reliably.”

By: DocMemory
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