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Beyond TOPs: Building Real-World Edge AI Systems

Beyond TOPs: Building Real-World Edge AI Systems

October 27 2026 08:30 AM CST

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Language

English

About This Upcoming Webinar

As AI workloads continue to evolve beyond simple TOPS measurements, system architects must consider the full balance of compute, memory, power, thermal design, and software integration to build effective edge AI solutions. This training explores how NXP i.MX 937, i.MX 943, and i.MX 95 applications processors can be paired with Ara240 discrete NPU acceleration to support vision, language, and multimodal AI workloads at the edge.

Through practical examples, attendees will learn how different memory configurations and modular accelerator architectures impact performance, scalability, and efficiency. The session will provide guidance for selecting the right architecture and combining host processing, integrated NPUs, and external AI acceleration to create production-ready edge AI systems.

Not sure you can join? You should still register! Slides and a recording of the session will be available after the webinar.

Register

What You Will Learn:

Select the appropriate architecture for vision, language and multimodal AI
Balance compute, memory, power and thermal requirements
Combine host processing, integrated NPUs and Ara240 acceleration
Turn raw compute into an integrated, scalable edge-AI solution

Presented by

Cheng Hwee Chee
Marketing Director, NXP Semiconductors
Andreas Kopietz
Key-Account Manager, F&S

Additional Resources

Ara240 16GB M.2 Module

M.2 Ara240 EdgeAI 8GB I-Temp

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