Aptiv PLC announced an expanded collaboration with NVIDIA to accelerate the adoption of production-ready edge AI solutions. The companies are working together to evolve the NVIDIA Jetson platform including next-generation platforms such as Jetson Thor into commercially supported, production-ready edge AI platforms for intelligent systems.
The collaboration focuses on delivering long-term support, including continuous CVE monitoring and security patching, Cyber Resilience Act (CRA) ready platforms, and stable, production-grade Linux environments. This addresses key barriers to scaling edge AI across distributed environments.
Aptiv’s technologies and services will support the Jetson ecosystem from the current install base to next-generation platforms. Target industries include industrial automation, robotics, aerospace and defense, automotive, and telecommunications.
Key initiatives include:
- Long-term support for existing meta-tegra board support packages for NVIDIA’s Yocto Project-based platforms, with commercial-grade lifecycle management, security updates, and ongoing maintenance.
- A CRA ready Yocto platform to simplify compliance.
- Alignment with mainline Yocto Project and Wind River Linux to reduce fragmentation and enable scalable support.
- Production-ready software foundation for Jetson Thor with long-term support.
- Go-to-market initiatives to support adoption of commercially supported Jetson platforms for embedded systems and long-lifecycle deployments.
“The next wave of AI innovation will be defined by what happens at the intelligent edge. Successfully enabling that demands more than just powerful hardware — it requires a stable software foundation designed for long-term deployment,” said Jay Bellissimo, Senior Vice President and President, Intelligent Systems, Software and Services, Aptiv. “Together with NVIDIA, we can deliver industry-leading edge AI computing supported by commercial-grade embedded Linux and long-term support to help developers reduce risk, simplify integration, and confidently scale edge AI for environments where performance, reliability and longevity are non-negotiable.”
The collaboration also simplifies integration between NVIDIA CUDA, Yocto Project-based environments, and meta-tegra.
