Edge & On-Device Agentic AI
Running agents close to the metal — on phones, sensors, and devices, away from the cloud.
What Is Edge AI? A Plain-English Introduction
Edge AI runs machine learning directly on local devices instead of remote servers. This plain-English introduction explains what edge AI is and why it matters.
Edge AI vs Cloud AI: Key Differences for Agents
Edge AI vs cloud AI shapes how autonomous agents respond, protect data, and scale. Compare the key differences to choose the right approach for your agents.
How to Run AI Agents on Edge Devices
Learn how to run AI agents on edge devices, from choosing a model and hardware to optimizing, deploying, and maintaining agents that work locally.
What Is On-Device Agentic AI?
On-device agentic AI runs autonomous, goal-driven agents locally on your hardware. Learn what on-device agentic AI is and why it is gaining momentum.
Small Language Models for Edge AI Agents
Small language models bring language-driven reasoning to edge AI agents that run locally. Learn how SLMs work and why they suit on-device agents.
Edge AI Hardware for Agents: An Overview
Edge AI hardware powers agents that run locally on devices. This overview explains NPUs, accelerators, and chip categories for on-device AI agents.
Why Low Latency Makes Edge AI Ideal for Autonomous Agents
Low latency is why edge AI suits autonomous agents that must react instantly. Learn how local processing enables fast, reliable agent decisions.
Privacy Advantages of On-Device AI Agents
On-device AI agents keep sensitive data local instead of sending it to the cloud. Explore the privacy advantages of running agents directly on your hardware.
Edge AI and IoT: Agentic Use Cases
Edge AI and IoT together enable agentic use cases where devices sense, decide, and act locally. Explore practical agentic scenarios across industries.
The Challenges of Deploying Agents on Edge Hardware
Deploying agents on edge hardware brings challenges in compute, memory, power, and updates. Learn the key obstacles and how to approach them.
Hybrid Edge–Cloud Architectures for AI Agents
Hybrid edge-cloud architectures let AI agents combine fast local action with powerful cloud reasoning. Learn how to design agents that use both.
The Best Edge AI Platforms and Frameworks
The best edge AI platforms and frameworks help you deploy agents on local devices. Explore leading tools by use case for on-device AI development.