Aptiv adds support for NVIDIA Jetson Orin Nano 2 to scale physical AI
- Aptiv adds support for NVIDIA Jetson Orin Nano 2 to accelerate physical AI deployment
- Jetson Orin Nano 2 offers 2x inference performance and 40% lower power consumption than predecessor
- Aptiv integrates PULSE sensing, Gen 8 radar, and Wind River software into the ecosystem
- Focus is on helping customers scale drones, robotics, and autonomous systems from prototype to production

*this image is generated using AI for illustrative purposes only.
Aptiv PLC (NYSE: APTV) announced support for the NVIDIA Jetson Orin Nano 2, expanding its collaboration with NVIDIA to help customers deploy production-ready physical AI and intelligent edge systems. This development builds on Aptiv’s prior work supporting commercially deployable edge AI platforms based on NVIDIA Jetson, including the Jetson Thor.
The announcement targets sectors moving from prototype to production, specifically delivery and inspection drones, robotics, and other autonomous systems. Aptiv aims to provide the sensing, software, lifecycle support, and systems integration expertise required for these systems to operate reliably in real-world environments.
Expanding Role in the Jetson Ecosystem
The NVIDIA Jetson platform supports robotics and edge AI applications, with ecosystem partners enhancing these capabilities through additional hardware, software, development tools, and engineering services. The new Jetson Orin Nano 2 is positioned to redefine entry-level edge AI.
Key specifications of the Jetson Orin Nano 2 include:
- Performance: 2x the inference performance of the previous Jetson Orin Nano in the same compact size.
- Efficiency: Consumes 40% less power at the same performance level.
- Specs: Features 78 TOPS, 8GB of memory, and an 8-core Arm CPU.
These specifications aim to power a new class of smart delivery and inspection drones, robots, and vision AI systems with significant leaps in AI performance and energy efficiency.
Aptiv’s Technology Portfolio
Aptiv will integrate several technologies and services into the Jetson ecosystem to support customers:
- Aptiv PULSEâ„¢: Integrates surround-view camera and ultrashort-range radar to enable reliable 360-degree sensing, helping reduce blind spots, cost, and system complexity.
- Aptiv Gen 8 radar: Designed to deliver advanced range, resolution, object detection, and 4D perception in challenging operating conditions.
- Robotics compute solutions: Running on the NVIDIA Jetson Orin Nano 2, Orin NX, and AGX Orin.
- Wind River software and lifecycle support: Assists customers with long-term maintenance, security monitoring, compliance readiness, and production deployment needs.
Scaling Physical AI Solutions
Physical AI solutions must operate in increasingly dynamic environments, requiring multimodal perception running on embedded, AI-ready compute for context-aware decision-making. As these systems interact with the physical world, predictable real-time performance and the ability to continuously learn and improve fleets of distributed devices are becoming critical.
Jay Bellissimo, Senior Vice President and President of Intelligent Systems, Software and Services at Aptiv, stated that device manufacturers need partners who can help them scale successfully. He emphasized that beyond powerful compute, this requires reliable perception, proven software platforms, and systems expertise to operate safely and efficiently in dynamic environments.
Sam Palmisano, Vice President of Global Product Development for Adjacent Markets at Aptiv, noted that while developers are building increasingly capable systems on Jetson, scaling those systems requires a broader production ecosystem. Aptiv aims to bring together sensing, compute, software, and services to help customers move from promising demonstrations to reliable, scalable commercial deployments.
How might Aptiv's integration of Gen 8 radar and PULSE sensing technologies differentiate its edge AI solutions from competitors relying solely on vision-based perception?
What specific regulatory or safety certification hurdles could delay the mass production deployment of autonomous delivery drones using the Jetson Orin Nano 2?
Could the 40% power efficiency improvement in the Jetson Orin Nano 2 enable new form factors for robotics that were previously constrained by battery life limitations?
































