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NXP Unveils S32N7 Processor to centralise vehicle intelligence
NXP Semiconductors has unveiled the S32N7 super-integration processor series, extending its S32 automotive platform with a new class of 5nm processors designed to digitalise the core functions of modern vehicles. The S32N7 is engineered to consolidate propulsion, vehicle dynamics, body, gateway and safety domains into a single, centralised computing hub with built-in safety and security.
By replacing dozens of discrete electronic control units, the S32N7 enables carmakers to simplify vehicle architectures and reduce total cost of ownership by up to 20 percent. The savings come from lower hardware counts, streamlined wiring, reduced electronic complexity and more efficient software development. Centralising software and data also provides a foundation for scaling AI-driven capabilities such as personalised driving experiences, predictive maintenance and virtual sensing.
The processor series is designed to support the long-term shift to software-defined vehicles. Its high-performance data backbone allows automakers to upgrade AI silicon over time without re-architecting the vehicle, enabling continuous differentiation through software updates across multiple models and brands.
Bosch is the first partner to deploy the S32N7 within its vehicle integration platform. The two companies have jointly developed reference designs, safety frameworks and enablement programmes to accelerate adoption and reduce integration effort for early customers.
Bosch highlighted that having ECU samples ready alongside the first S32N7 silicon provides automakers with a development head start for next-generation vehicle computers, particularly in safety- and security-critical environments.
NXP positions the S32N7 as the central AI control point for future mobility, combining application and real-time compute, networking, hardware isolation, and data acceleration within a single system-on-chip. The scalable portfolio includes 32 compatible variants, designed to meet strict automotive timing, safety and security requirements while supporting the industry’s transition toward intelligent, software-defined vehicles.
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