Run ML inference on AWS Snowball Edge with Amazon SageMaker Edge Manager and AWS IoT Greengrass

You can use AWS Snowball Edge devices in locations like cruise ships, oil rigs, and factory floors with limited to no network connectivity for a wide range of machine learning (ML) applications such as surveillance, facial recognition, and industrial inspection. However, given the remote and disconnected nature of these devices, deploying and managing ML models at the edge is often difficult. With AWS IoT Greengrass and Amazon SageMaker Edge Manager, you can perform ML inference on locally generated data on Snowball Edge devices using cloud-trained ML models. You not only benefit from the low latency and cost savings of running local inference, but also reduce the time and effort required to get ML models to production. You can do all this while continuously monitoring and improving model quality across your Snowball Edge device fleet.