Introduction
Artificial Intelligence (AI) is no longer just limited to cloud-based servers and high-end systems. Today, AI is moving closer to where data is created—on edge devices. From industrial IoT sensors, the demand for low-power AI models for edge devices is growing rapidly.
What Are Edge Devices?
Edge devices are small, smart computing units that gather and process data locally, at the “edge” of a network—rather than sending it to the cloud.
Why Low-power AI Models Matter
Running AI models on small devices introduces several challenges—primarily related to battery life, memory, and processing power. That’s where low-power AI models make a difference.
Key Benefits:
Popular Low-power AI Frameworks
Several tools and frameworks are available to build and deploy AI models on edge devices:
How Senzr Can Help
At Senzr, we provide complete solutions for low-power embedded AI systems. From AI model optimization to deployment on hardware like STM32, ESP32, and Raspberry Pi, our team delivers fast, reliable, and intelligent edge applications tailored to your needs.
Conclusion
As more devices become smart and connected, low-power AI models for edge devices are becoming essential.
