How to deploy your AI model on Edge devices with Azure

1. Introduction

Edge Computing is a pattern in which part of the computation is done on decentralized edge devices and is a great way to extend cloud computing. Using this pattern, Artificial Intelligence (AI) models are trained in the cloud and deployed on the edge which has the following advantages:

• Speed when realtime decision making is needed and cloud compute would imply too much latency
• Availability allowing the device to function offline in case of limited connectivity…