AWS Greengrass is software that lets you run local compute, messaging, data caching, sync, and ML inference capabilities on connected devices in a secure way. With AWS Greengrass, connected devices can run AWS Lambda functions, execute predictions based on machine learning models, keep device data in sync, and communicate with other devices securely – even when not connected to the Internet.

AWS Greengrass seamlessly extends AWS to devices so they can act locally on the data they generate, while still using the cloud for management, analytics, and durable storage. With Greengrass, you can use familiar languages and programming models to create your device software in the cloud, and then deploy it to your devices. AWS Greengrass can be programmed to filter device data and only transmit necessary information back to the cloud.

For more information about the features of AWS Greengrass, click here.

ML Inference is a feature of AWS Greengrass that makes it easy to perform machine learning inference locally on Greengrass devices using models that are built and trained in the cloud. To learn more about Greengrass ML Inference,