Embedded AI

Technical terms
About 1 min read

A technology that directly runs AI models inside devices to ensure real-time data processing and privacy without going through cloud servers.

Also known as
Integrated AINative AI Feature

Detailed explanation

Embedded AI is a technology that directly executes machine learning models within hardware systems equipped with microcontrollers (MCUs) or neural processing units (NPUs). As of 2026, hardware performance and model compression algorithms have advanced enough to run Small Language Models (SLMs) in local environments, going beyond simply processing sensor data. Because it operates without network connections, there is almost no latency, and data leaks can be prevented, making it essential for security-critical industrial sites and consumer devices.

Why It Matters in Tool Selection

The choice of Embedded AI tools (frameworks and hardware) is directly linked to the survival of a service. It is an essential consideration when building autonomous driving, medical device, and smart factory solutions that require real-time responses within 0.1 seconds while dramatically reducing cloud costs. In particular, with the strengthening of security regulations such as the EU Cyber Resilience Act (CRA) in recent times, local processing capability is becoming a key criterion for tool selection.

Checklist for Selection

  • Whether the target hardware supports NPU/GPU acceleration (check TOPS performance)
  • Usability of model compression tools (Quantization, Pruning)
  • Inference efficiency relative to thermal design power (TDP)
  • Ability to operate completely offline
  • Support for secure boot and encryption to comply with security regulations (such as CRA)

Use Cases

Typical examples include smart door locks that recognize faces at the front door without an internet connection, predictive maintenance systems that immediately detect failures using vibration sensors in factories, and on-device AI assistants that process personal information without sending it to servers.

Related terms

NPUEdge ComputingQuantization