This case study discusses how NXP’s scalable AI solutions and Sonatus AI Director enable real-time, edge-based decision-making in vehicles.
While cloud-based AI adoption is growing, in-vehicle AI remains limited, primarily to ADAS and autonomous driving, presenting opportunities for onboard AI compute to enhance vehicle functions with benefits such as reduced latency, lower data transmission costs, improved privacy, and IP protection. NXP’s S32 automotive platform, featuring heterogeneous compute and accelerators, enables safe and scalable AI applications.
Sonatus AI Director provides an end-to-end toolchain for AI model development, deployment, and remote monitoring, integrated with NXP’s hardware and software ecosystem.
