Ann Arbor’s Red Hat Announces Edge Computing Innovations and Lockheed Martin Partnership | So Good News
Ann Arbor-based open source solutions provider Red Hat Inc. At KubeCon and CloudNativeCon in Detroit October 11-15, Lockheed Martin announced a collaboration to advance artificial intelligence (AI) innovation in military platforms. .
Adoption of the newly announced Red Hat Device Edge (see related news below) enables Lockheed Martin to support US national security missions by deploying and standardizing AI technologies in geographically constrained environments.
With Red Hat Device Edge, companies equip US military platforms, such as the Stalker unmanned aerial system (UAS), with advanced software that was previously too large and complex for these systems. This advanced software enables small platforms to handle large AI workloads, increasing their capabilities in the field and accelerating data-driven decision making.
In a recent demonstration, Lockheed Martin used Red Hat Device Edge on the Stalker UAS to demonstrate how AI-enhanced sensing can advance joint all-domain operations. Stalker used onboard sensors and AI to adapt to the threat environment in real time.
Stalker performed an intelligence, surveillance and reconnaissance (ISR) mission to identify a simulated military target. After Stalker identified the target emitter, project engineers used Red Hat Device Edge to update the Stalker software on the fly.
The new software—now controlled by Red Hat Device Edge on the platform—allowed Stalker to use advanced AI-based computer vision capabilities known as automated target recognition capabilities. As a result, Stalker was able to classify military targets, provide more useful ISR data, and improve situational awareness of the threat environment more accurately.
Lockheed Martin, Red Hat and other industry partners are enhancing 5G.MIL capabilities with RAN Intelligent Controller (RIC) functionality using Red Hat OpenShift, the industry-leading Kubernetes platform, to deliver resilient communications for the US Department of Defense.
Lockheed Martin is a key participant in the MicroShift project, collaborating to help build project edge capabilities for remote and inaccessible environments. As part of Lockheed Martin’s 21st century security vision to leverage the best commercial technologies for the defense industry, the company plans to continue to innovate using Red Hat Device Edge and Kubernetes capabilities for a wide range of applications across all domains: land, sea, air, space and cyber.
In related news, Red Hat Robots, IoT Gateways, Point of Sale, Public Transportation and more. A solution for flexible deployment of traditional or containerized workloads on small devices such as Red Hat has introduced Device Edge.
“Overseas innovation has introduced new benefits and use cases for organizations in all industries, but it has also created new challenges,” said Francis Chow, vice president and general manager of in-vehicle operating systems and Red Hat.
“Working with our customers and partners, Red Hat has embarked on a journey to develop a new technology offering—one specifically for the edge—that extends our hybrid cloud solution so that our ecosystem can take advantage of intelligence paired with robust open source technology. to address their minimal footprint remote use cases. The community-tested Red Hat Device Edge, now released by Red Hat, is the next important step in leveraging all the benefits that edge computing promises.”
Red Hat Device Edge is a lightweight Kubernetes orchestration solution built on the edge capabilities of Red Hat OpenShift, an enterprise-ready and supported distribution of MicroShift, an open source community project led by Red Hat, and an edge-optimized operating system from Red. Hat Enterprise Linux.
This latest product in the Red Hat Edge portfolio aims to provide a future-proof platform that allows organizations to evolve their architecture as their workload strategy changes. As more companies implement edge computing across a wider range of use cases, many new questions, operational needs and business challenges may arise.
Automobile manufacturing, production, etc. In such fields, organizations face various environmental and safety issues. and operational challenges that require the ability to work with small form-factor peripherals in these resource-constrained environments. Ultimately, different devices have different requirements in terms of computing power, software compatibility, and security footprint.
Built for edge deployments, Kubernetes enables IT teams to leverage familiar Kubernetes capabilities in a new, smaller, lighter footprint offered by MicroShift. This lowers the barrier to entry for teams building cloud-based applications for edge computing environments and enables them to leverage existing Kubernetes skills to achieve greater consistency of operations across the hybrid cloud, from the data center to public clouds to the edge.
Built from the world’s leading enterprise Linux platform, Red Hat Enterprise Linux is an edge-optimized Linux OS for small edge devices with intelligent updates that use minimal bandwidth. This helps organizations address the challenges of seamless connectivity while minimizing the impact on edge innovation.
IT teams can use zero-touch provisioning, system health visibility, and updates with automatic rollbacks to strengthen edge management and application security.
Red Hat Device Edge is designed to help Red Hat customers and partners solve their most challenging edge environments. For example, Lockheed Martin is collaborating with Red Hat on the MicroShift project community and is also working on using Red Hat Device Edge to modernize and standardize application delivery and AI workloads in extreme environments, including wildland fire management, contested military environments and space.
In addition, ABB plans to use Red Hat Device Edge for ABB Ability Edgenius on resource-constrained devices. Edgenius is a comprehensive edge platform for industrial software applications.
Regardless of industry, Red Hat Device Edge targets organizations that need small form factor edge devices with support for bare metal, virtualized, or containerized applications. Additional use cases include, but are not limited to:
- Edge devices are miniaturized, connected nodes in public transportation that are often on the move but require faster AI/ML processing to analyze data locally in real-time.
- Flexible resource nodes in complex locations, such as weather stations, where the edge can be self-sustaining with automated software rollback, enhanced security, despite harsh, difficult-to-maintain environments. provides improved state and sensitive data management.
- Emerging limited scenarios where thousands of edge devices can run applications where weight, temperature and connectivity are key concerns.
Red Hat Device Edge meets organizations wherever they are on their edge computing journey, as it powers a variety of workloads with Podman for edge container management or MicroShift for Kubernetes APIs. Customers can even use legacy Windows applications in a virtual machine.
Red Hat Device Edge is scheduled as a developer preview early next year and is expected to be publicly available with full support in 2023.