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Logic Supply announces collaboration with Amazon Web Services to ensure AWS Greengrass compatibility

By: Logic Supply
17 May, 2018
1 min read
Logic Supply announces collaboration with Amazon Web Services to ensure AWS Greengrass compatibility
Logic Supply announces collaboration with Amazon Web Services to ensure AWS Greengrass compatibility
AWS Greengrass, part of the AWS IoT offering, allows users to run local compute, messaging & data caching for connected IoT devices. With AWS Greengrass, connected devices can run AWS Lambda functions, keep device data in sync, and communicate with other devices securely

May 17, 2017 - Global Industrial PC company Logic Supply, in collaboration with Amazon Web Services (AWS), will begin offering their customers the option to pre-install AWS Greengrass with machine learning (ML) Inference on its ‘AWS Greengrass Compatible’ hardware platforms with an eye toward making Internet of Things (IoT) development easier, and more efficient.

AWS Greengrass, part of the AWS IoT offering, allows users to run local compute, messaging & data caching for connected IoT devices. With AWS Greengrass, connected devices can run AWS Lambda functions, keep device data in sync, and communicate with other devices securely - even when not connected to the Internet. AWS Greengrass ML Inference allows devices to perform ML tasks locally, allowing builders to use ML models built and trained in the cloud, at the edge. Through the APN program, AWS has tested Logic Supply’s systems and designated them as ‘AWS Greengrass Compatible.' Logic Supply will offer its customers the ability to select AWS Greengrass with ML Inference as a pre-installed software image on all of their tested, production grade computer systems.

When configuring their systems online, users can select AWS Greengrass from the software options, with prototypes and dev kits shipping in as little as a day. Available hardware options include the company's CL200 Edge Device as well as their MC850 computer, which can accommodate dedicated graphics cards and other accelerators for edge-based machine learning and AI.

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