Arm and NVIDIA lead new march of the robots
She said that across industries, intelligent machines were rapidly evolving. Vehicles are becoming AI-defined platforms capable of automated driving, AI-powered infotainment, and personalised in-vehicle experiences. At the same time, robotics is entering a new phase, where humanoid robots, autonomous mobile robots (AMRs), and smart industrial systems are expected to perceive, reason and act in real time.
Vachani says that to realise the potential of intelligent machines requires compute platforms that prioritise safety while delivering a combination of datacentre-class performance, scalability, and efficiency. With Arm Neoverse as the CPU foundation, NVIDIA is offering leading edge compute platforms with NVIDIA DRIVE AGX Thor and Jetson Thor.
NVIDIA DRIVE AGX Thor Developer Kit is now available for pre-order and will be shipping this September. Built on Arm Neoverse V3AE CPUs, the technology is described as a scalable and energy-efficient AI computing platform designed to process the complex workloads required for autonomous driving.
The Arm compute platform brings deterministic performance and ISO 26262 functional safety to NVIDIA DRIVE AGX Thor to ensure that advanced AI workloads run reliably in real-time. Delivering up to 2,000 teraflops of FP4 performance, NVIDIA DRIVE AGX Thor enables workloads such as predictive ADAS, real-time driving monitoring, and natural voice interaction to run simultaneously on one platform.
As the backbone of NVIDIA DRIVE AGX Thor’s compute fabric, Arm Neoverse V3AE CPU works together with NVIDIA’s Blackwell GPU and dedicated accelerators to deliver a reliable and scalable foundation for the AI-defined vehicle era, where cars continuously learn, adapt, and improve over time.
Two developer kit versions are now available: A benchtop unit (SKU10) and an in-vehicle (SKU12), both designed to accelerate hardware and software development.
In parallel, the introduction of NVIDIA Jetson Thor brings the same Arm Neoverse V3AE foundation into robotics and physical AI. Purpose-built for real-time, multi-model AI workflows, NVIDIA Jetson Thor enables robots to perceive, reason, and act simultaneously – a critical requirement for humanoid robots, AMRs, and industrial systems.
NVIDIA Jetson Thor is said to deliver the high-performance compute, low latency, and real-time reasoning needed for humanoid robots, where natural interaction requires multiple models such as vision, language, and motion planning to run in parallel.
In factories and warehouses, Jetson Thor powers autonomous machines and robotic arms that improve efficiency and safety, Vachani says.
It is also boosting healthcare systems, she adds. With local sensor fusion and advanced AI, Jetson Thor supports robotics in patient monitoring, rehabilitation, and surgical assistance.
Vachani said the news provided the perfect example of how Arm Neoverse V3AE is bringing datacentre-class performance to both automotive and robotics workloads, with efficiency and safety built in.