Multimodal GenAI at the Edge: Scalable AI from Language to Vision

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Key Highlights

  • Scale GenAI performance from 2 to 160 eTOPS by combining i.MX MPUs with Ara240 DNPUs to power everything from real-time vision AI to massive LLMs at the edge.
  • Seamlessly scale across hardware and software with a flexible edge AI platform that moves effortlessly from prototyping to production without cloud dependency.
  • Unlock real-world multimodal GenAI use cases including video search, industrial inspection, predictive maintenance, logistics optimization, and intelligent security—all running locally where data is created.

Knowledge Base

Scalability with i.MX Applications Processors and Ara Discrete NPUs

By combining the high performance i.MX 95, the versatile i.MX 8M Plus, and capable Ara240 DNPUs, NXP delivers a flexible edge AI platform that scales from efficient vision inference to large multimodal and generative AI workloads that enable high performance, low latency and privacy to preserve intelligence across industrial, IoT, and automotive applications.

Multimodal GenAI Intelligence—Running Fully at the Edge

This demo showcases how vision, language, and generative AI models work together ondevice to deliver realtime insights, low latency, and privacy-preserving intelligence—without reliance on the cloud.

Secure GenAI for Every Edge Use Case—At Any Scale

By running large 32Bparameter LLMs fully on-device, this demo shows how sensitive data stays local and enables secure, trusted GenAI across industrial automation, robotics, logistics, healthcare and smart infrastructure, without cloud exposure or compromise.

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