S32N7
S32N7 Super-Integration Processor for Software-Defined Vehicles
Discover how to turn collected data into action enabled by Agentic AI at the edge. Before a trip begins, the vehicle understands its context—driver, passengers, weather, terrain and destination—then autonomously coordinates multiple AI agents to gather real-time vehicle data, adapt dynamics, optimize energy use and range, and validate safety. The result is a vehicle that doesn't just report data, but uses it to intelligently optimize every journey, locally and without relying on the cloud.
S32N7 Super-Integration Processor for Software-Defined Vehicles
S32K5 Automotive Microcontrollers
Ara240 Discrete Neural Processing Unit (DNPU)
NXP eIQ® Auto Machine Learning (ML) software development kit empowers developers to build intelligent automotive solutions—without requiring deep AI expertise
Coordinates multiple AI agents locally to turn vehicle data into real decisions.
Deterministic, safety-managed access to vehicle-wide data within an ASIL D compliment compute architecture.
Failures in the user-facing domain do not affect system-level orchestration.
Intelligent, centralized management of vehicle-wide data to enable consistent, safe and efficient feature delivery.
Optimizes automotive AI workloads by distributing inference, orchestration and real-time processing.
Confirms that optimized settings are safe and appropriate for the trip ahead.
Will AI Deliver on Its Automotive Promise?
Accelerating Edge AI with NXP and COMPREDICT
Digitalizing Vehicles with S32N7: Paving the Way for the AI-Defined Era
NXP and Sonatus Accelerate In-Vehicle Edge AI Deployment
S32 eIQ® Auto: Accelerate Vehicle Intelligence with Machine Learning
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