A Guide To Deploying AI In Edge Computing Environments
Search Enterprise AI, Friday, June 21st, 2024
Deploying AI at the edge is increasingly popular due to processing speed and other benefits. Consider hosting requirements, latency budget and platform options to get started.
Combining AI with edge computing can be complex. The edge is a place where resource costs must be controlled and other IT optimization initiatives, like cloud computing, are difficult to apply.
Edge computing is an application deployment model where part or all of an application is hosted near the real-world system it's designed to support. These applications are often described as real-time and IoT because they interact directly with real-world elements such as sensors and effectors, requiring high reliability and low latency.