Red Hat, Inc., a global leader in open-source solutions, has announced the release of Red Hat Device Edge 4.17, a version that introduces significant enhancements for managing mission-critical workloads in remote and distributed locations. This update addresses the increasing need for fast and reliable response times, featuring new low-latency capabilities and near-real-time processing.
Red Hat Device Edge combines an optimized enterprise distribution with support for MicroShift, an open-source project led by Red Hat that offers a lightweight distribution of KubernetesKubernetes (commonly referred to in English as “K8s”) … based on the edge capabilities of Red Hat OpenShift. Along with Red Hat Enterprise Linux and Red Hat Ansible Automation Platform, this solution provides a uniform and efficient platform for edge environments with limited resources. This is key in compact devices that require fast operations to collect, analyze, and respond to real-time data.
The solution is designed for a wide variety of environments, from industry and autonomous vehicles to online gaming and smart cities, where low latency and consistent performance are essential. Red Hat Device Edge 4.17 allows organizations to deploy applications with latency times below one millisecond, ensuring reliable and deterministic performance for highly critical scenarios.
With this update, Red Hat responds to the demands of the most advanced edge environments, opening possibilities for new use cases. From predictability in industrial control systems to efficiency in IoT devices, Red Hat Device Edge 4.17 solidifies its role as a vital tool for companies looking to transform their operations in the edge, optimizing response times and improving real-time processing capability.
Unlocking the Potential of AI at the Edge
Speed and agility are constant requirements for IT leaders, and artificial intelligence and machine learning (AI/ML) at the edge offer a powerful combination of capabilities for achieving faster and more agile operations. By extending AI to the edge, companies can collect data, process images, train models, run inferences, among other functionalities, but must meet the expectations of real-time responses, offline functionality, and enhanced security. In environments such as production plants, the success or failure of an operation can depend on a delay of just 20 milliseconds.
The capabilities for low and predictable latency enable the implementation of AI-based controls and functions to optimize processes. Red Hat Device Edge 4.17 enhances these workloads by adding functionalities that support them better. Red Hat recently announced the technical preview of Red Hat Device Edge on NVIDIA Jetson Orin™ and NVIDIA IGX Orin™, with Red Hat Enterprise Linux 9.4 providing additional support for edge images enabled for FIPS. This range of solutions, from Jetson Orin Nano to the enterprise platform NVIDIA IGX, enables companies to achieve precision and innovation virtually in real-time without sacrificing essential IT operational needs, such as enhanced system security.
IPv6 Support with Integration for Single and Dual Stack
Red Hat Device Edge also includes additional updates related to IPv6 support, enhancing network capabilities for both single IPv6 stack deployments and dual stack (IPv4 and IPv6) configurations, adding flexibility to infrastructure management.