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OnLogic hardware demonstrating AWS Greengrass with Machine Learning Inference made its debut at IoT World 2018.
SOUTH BURLINGTON, VT - MAY 17, 2018 - Global Industrial PC company OnLogic, 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, faster, and more efficient.
In a range of applications, IoT devices need to respond quickly to local events, operate with intermittent connections, and minimize the cost of transmitting IoT data to the cloud.
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.
"The AWS Partner Network (APN) plays a key role in achieving our mission to empower builders," said Dirk Didascalou, Vice President, Internet of Things, Amazon Web Services, Inc. "We're excited that OnLogic will be among the first of our APN Partners to offer hardware that comes pre-installed with AWS Greengrass with Machine Learning Inference, as Edge Computing continues to show incredible application potential across the IoT landscape."
PRE-INSTALLED GREENGRASS COMPATIBLE HARDWARE FROM ONLOGIC
OnLogic is a global industrial PC company focused on creating highly customizable, small form factor solutions for the IoT edge. They offer more than 80 hardware platforms ranging from low powered edge nodes, to ML and artificial intelligence (AI) capable systems, all available directly to customers on the OnLogic website (www.onlogic.com).
"We're excited to be working with AWS to provide developers the tools they need to create next generation IoT solutions," said Murat Erdogan, VP Products, OnLogic. "As an Advanced Partner in the AWS Partner Network, we wanted to take the step to make AWS-powered IoT solutions as accessible and plug-and-play as possible."
Through the APN program, AWS has tested OnLogic’s systems and designated them as ‘AWS Greengrass Compatible.' OnLogic 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 recently released, palm-sized 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.
SEE IT FOR YOURSELF AT IOT WORLD 2018
AWS Greengrass Compatible hardware solutions from OnLogic will make their debut at the Amazon Web Services booth (#916) at IoT World 2018, taking place in Santa Clara, Calif. from May 14-17. For more information, visit www.onlogic.com/technology/cloud/aws-greengrass/ or call OnLogic to speak with a Hardware Solution Specialist at +1 802-861-2300 in the US or +31 (0)85 2733760 in Europe.
About OnLogic: A global industrial PC company focused on hardware for the IoT edge, OnLogic designs highly-configurable computers engineered for reliability. Their systems operate in the harshest environments and power innovation in the evolving Internet of Things. Fueled by a unique direct-to-customer business model that combines vertical integration, modular product design and a powerful online platform, OnLogic offers computers “designed to last, built to order, and delivered in days.” Founded in 2003, the company has served more than 70,000 customers from offices in North America, Europe, and Taiwan. Learn more about why innovators choose to "Build It With Logic" at www.onlogic.com or on Twitter @LogicSupply.
OnLogic Media Contact