User-Friendly Hardware Enabling NXP’s Power Efficient MPU for Automotive, Consumer and Industrial IoT
TOPICS COVERED
- Energy Flex Architecture for Chip-Level Power Optimization
- Edge AI Use Cases: From Driver Monitoring to Facial Recognition
- Integrated Hardware Security via NXP EdgeLock® Secure Enclave
- Industrial-Grade Design and 15+ Year Product Longevity Support
PHYTEC’s phyCORE‑i.MX 93 delivers efficient AI, advanced security, and flexible interfaces for industrial designs.
Empower your next innovation with a hardware platform that perfectly balances high-performance computing with ultra-low power consumption. The phyCORE-i.MX 93 is meticulously engineered to simplify the integration of advanced artificial intelligence into everyday devices, from smart home controllers and EV charging stations to industrial gateways. By leveraging a specialized neural processing unit and NXP’s innovative energy-management architecture, this module allows your applications to “see” and “reason” locally without draining batteries or requiring complex cooling systems. With a commitment to fifteen-plus years of product longevity and a fully customizable Linux environment, you can design with total confidence, knowing your solution is secure, scalable, and built to lead the next generation of the intelligent IoT.
Empower your next innovation with a hardware platform that perfectly balances high-performance computing with ultra-low power consumption. The phyCORE-i.MX 93 is meticulously engineered to simplify the integration of advanced artificial intelligence into everyday devices, from smart home controllers and EV charging stations to industrial gateways. By leveraging a specialized neural processing unit and NXP’s innovative energy-management architecture, this module allows your applications to “see” and “reason” locally without draining batteries or requiring complex cooling systems. With a commitment to fifteen-plus years of product longevity and a fully customizable Linux environment, you can design with total confidence, knowing your solution is secure, scalable, and built to lead the next generation of the intelligent IoT.
Key Takeaways:
- Energy‑efficient ML
- Built‑in EdgeLock security
- Flexible industrial I/O
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