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How Gateworks and NXP Power the Future of the Industrial Edge

This video highlights Gateworks’ GW16168 M.2 AI accelerator —powered by the Ara240 Discrete Neural Processing Unit (DPNU)—enabling modular, high‑performance AI at the edge. Designed to integrate seamlessly with NXP i.MX 8M Plus and i.MX 95 applications processors, our solution allows AI models and hardware to evolve independently while supporting existing frameworks—bringing reliable, scalable AI directly to edge systems.

Explore Gateworks’ AI‑ready platforms and learn how the GW16168 enables scalable edge AI on NXP i.MX processors.

Highlights

Discover the GW16168 M.2 AI accelerator card, built by Gateworks around the Ara240 DNPU
Gain direct integration with NXP i.MX 8M Plus and i.MX 95 platforms for compact, modular AI acceleration
Explore support for advanced AI workloads—including LLMs and generative AI—running at the edge
Uncover decoupled system architecture allowing AI models and hardware to evolve independently
Unlock out-of-the-box developer support for TensorFlow, PyTorch and ONNX models