To support global commercialization of Level 4 autonomous capabilities, Tensor and Arm have announced a multiyear strategic collaboration to provide the compute architecture for Tensor’s agentic AI personal robocar. Using the Arm platform, which integrates hardware, software and ecosystem support, Tensor has deployed over 400 Arm-based cores per vehicle.
Tensor is designing its vehicles around built-in intelligence, rather than retrofitting autonomy onto existing or legacy platforms. The robocar is powered by a vertically integrated Level 4 autonomy stack, and a comprehensive 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 tire-pressure sensors, a smoke detector and triple-channel 5G connectivity.
Tensor is using Arm’s compute platform to distribute safety-capable intelligence across the vehicle, allowing the robocar to perceive and navigate its environment through its foundation models.
Each Tensor robocar incorporates 433 Arm-based cores, including Neoverse AE for high-throughput AI processing, Cortex-X for agentic artificial intelligence (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. Tensor’s AI workloads operate alongside Nvidia-accelerated processing to support Tensor’s proprietary autonomy stack.
“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 the physical AI business unit at 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.”
“Delivering personal autonomous vehicles at scale requires more than breakthrough AI and autonomy; it demands advanced engineering for safety, redundancy, reliability and power efficiency,” added Dr Jewel Li, Tensor’s 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.”
The Tensor robocar will be offered in the US, EU and Middle East markets in 2026.
Related news, Wayve secures US$1.5bn to scale commercial deployment of its embodied AI autonomy platform