Automating the Edge with Robotics

Red Hat Device Edge promises to bring enterprise-scale Kubernetes and Linux OS to edge devices

Red Hat Device Edge promises to bring enterprise-scale Kubernetes and Linux OS to edge devices

Red Hat Device Edge is the latest addition to Red Hat’s edge portfolio, designed specifically for resource-constrained edge devices. It delivers production-grade Kubernetes and Linux capabilities and the flexibility needed to support a broad range of use cases. Red Hat Device Edge is ideal for enterprises who are using small form factor edge devices, the company says. This support includes bare metal, virtualized or containerized applications.

Red Hat Device Edge also delivers the company’s open-source community project MicroShift, a lightweight Kubernetes orchestration solution. Its use cases include Kubernetes application deployment on resource-constrained systems, scale testing and provisioning of lightweight Kubernetes control planes. Lockheed Martin, an active contributor to the MicroShift project, is also deploying Red Hat Device Edge. Lockheed Martin plans to use the Red Hat edge solution to modernize its application delivery and AI workloads.

“Red Hat Device Edge will enable Lockheed Martin to revolutionize artificial intelligence processing for our DOD customers’ most challenging missions. The ability for small military platforms to handle large AI workloads will increase their capacity in the field, ensuring our military can stay ahead of evolving threats,” said Justin Taylor, vice president of AI at Lockheed Martin. “Lockheed Martin is a long-time customer and collaborator to Red Hat and working on Red Hat Device Edge together is a critical next step in this strategic relationship.”

Red Hat designed this edge solution to assist organizations with deploying significant edge AI workloads on smaller devices. The company promises that its product uses fifty percent fewer compute resources than traditional Kubernetes edge configurations. Red Hat Device Edge ensures the success of large-scale edge computing deployments by incorporating the lightweight Kubernetes orchestration solution MicroShift, an edge-optimized Linux operating system, and capabilities to scale and monitor entire fleets of edge devices.

“Red Hat began a journey to develop a new technology offering – designed specifically for the edge — extending our hybrid cloud solution so that our ecosystem can take advantage of intelligence paired with trusted open-source technology to tackle their smallest footprint remote edge use cases. Tested in the community, now produced by Red Hat, Red Hat Device Edge is a major next step in harnessing the full range of benefits promised by edge computing,” said Francis Chow, vice president and general manager for in-vehicle operating system and edge at Red Hat.

Like Lockheed Martin, ABB is also planning to use the Red Hat Device Edge for its ABB Ability Edgenius, a comprehensive edge platform for industrial software applications on resource-constrained devices.

Red Hat and IBM Research recently developed Project Wisdom, an open-source community initiative to automate IT workloads. The project’s goal is to use natural language processing AI so that users can input requests in plain English. This will then be translated into an automation workflow by Ansible.

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