How does NXP empower Automotive Edge AI development across hardware and software?

NXP delivers a complete edge AI ecosystem for automotive by combining: Hardware: Scalable S32 processors with heterogeneous compute (MCUs, MPUs, DSPs, Accelerators) for zonal and central architectures Software: eIQ Auto ML SDK for model deployment with automotive-quality runtime Integration: Support for different operating systems for production workflows Ecosystem: Model Zoo and partnerships for pre-trained models and recipes with automotive examples This synergy enables rapid prototyping, ASPICE-compliant deployment, and performance tuning across diverse automotive AI use cases.

Which S32 devices and OSes are supported?

Supports S32G2/G3, S32Z2/S32E2 and some S32K family (eIQ Auto ML SDK) and S32V23x (DL Toolkit). OS options include Linux®, QNX®, FreeRTOS™, AUTOSAR®, Zephyr®, BareMetal.

Can I run models across multiple cores and OSes?

Yes. eIQ Auto supports heterogeneous execution, allowing models to run on different cores and OS partitions.

How do I prepare and validate models before deployment?

The SDK provides quantization, optimization, compilation, and x86 simulation for performance evaluation before flashing targets.

How is eIQ Auto different from eIQ Toolkit (Portal)?

eIQ Auto: Automotive runtime for S32 devices with ASPICE compliance eIQ Toolkit: GUI-based environment for model conversion/profiling across NXP edge platforms. Often used together for training + deployment

Is eIQ Auto production-ready?

Currently ready for Production for some S32 platforms; contact NXP for most updated roadmap and access details.

汽车边缘AI

通过嵌入式AI提升车辆核心能力

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常见问题解答

边缘AI、机器学习和移动技术为互联车辆的未来赋能

随着汽车向智能互联系统演进，对实时决策、增强安全性和高效资源利用的需求与日俱增。这正是eIQ Auto软件开发套件的用武之地——它将机器学习直接引入车内，在无需依赖云连接的情况下，实现更快速、情境感知的响应。通过本地处理数据，边缘AI满足了汽车系统对延迟、安全和算力的严苛要求，同时解锁了预测性维护、智能数据编排和个性化驾驶体验等全新功能。对恩智浦而言，这一转变为提供优化、可扩展的解决方案以赋能下一代智能出行创造了变革性机遇。