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You are here: Home / Videos / Exploring the Network of Experts Required to Design and Implement Effective Edge Computing Solutions with OnLogic

Exploring the Network of Experts Required to Design and Implement Effective Edge Computing Solutions with OnLogic



Edge Field Day 3

Amber Cobb presented for OnLogic at EFD3


This video is part of the appearance, “OnLogic Presents at Edge Field Day 3“. It was recorded as part of Edge Field Day 3 at 13:30-15:00 on September 19, 2024.


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The presentation by Amber Cobb from OnLogic at Edge Field Day 3 focused on the importance of a collaborative ecosystem in designing and implementing effective edge computing solutions. OnLogic specializes in creating rugged, industrial edge devices that are highly configurable to meet the demands of challenging environments. Amber emphasized that the edge is not just a network boundary but a dynamic and complex place where real-time data and insights are crucial for driving efficiencies. To address these challenges, OnLogic relies on a network of partners, including Intel, AWS, Red Hat, Avassa, and Guise AI, to provide comprehensive solutions that go beyond just hardware. These partnerships allow OnLogic to offer scalable frameworks and innovative products that help customers navigate the complexities of edge computing.

Intel plays a foundational role in OnLogic’s ecosystem, particularly with its embedded lifecycle components designed for long-term edge deployments. Intel’s OpenVino Toolkit is also highlighted for its ability to optimize AI workloads at the edge, enabling enterprises to deploy and scale AI applications effectively. AWS is another key partner, providing cloud services like Greengrass and Kinesis Video Stream, which are essential for managing and deploying edge applications. Red Hat’s Enterprise Linux (REL) is described as a versatile and secure operating system that is ideal for critical workloads at the edge, offering a solid foundation for businesses to build upon. Avassa simplifies the orchestration of containerized applications at the edge, ensuring that even in environments with intermittent connectivity, edge applications remain functional and reliable.

Guise AI addresses the challenges of deploying and managing AI models at the edge, offering a no-code platform that streamlines AI deployments and optimizes performance. This platform is particularly useful for industries like oil and gas, where real-time monitoring and predictive maintenance are critical. Amber concluded by reiterating that the edge is a complex environment that requires more than just hardware; it requires a robust ecosystem of partners. By working with industry leaders and innovative companies, OnLogic is able to provide its customers with the tools and support they need to succeed in their edge computing endeavors.

Personnel: Amber Cobb


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