As organizations continue to leverage edge computing for AI workloads running near the source of data generation, Red Hat aims to deliver the enterprise support that companies need to capture the full potential of AI operations at the edge. Following our successful technology preview, we are thrilled to announce that Red Hat Device Edge is now available on NVIDIA Jetson Orin, aligning with the release of Red Hat Enterprise Linux 9.8.
During the tech preview phase, we saw tremendous interest from customers wanting to extend AI capabilities to the far edge, whether they are leveraging AI for advanced robotics and autonomous drone applications, or running lightweight AI apps in industrial settings. Now, organizations can confidently move these critical workloads into production on a consistent, flexible, and security-focused platform that enables faster data delivery and drives new innovations at the edge.
What general availability means for you
With this release, Red Hat and NVIDIA are collaborating to activate edge AI use cases with a standardized, enterprise-ready foundation, delivered through a pre-built bootable container image that accelerates time-to-deployment.
With Red Hat Enterprise Linux (RHEL) running on the NVIDIA Jetpack stack for NVIDIA Jetson Orin, we are delivering:
- Enterprise grade support for NVIDIA Jetson Orin: RHEL incorporates security from the start, helping organizations rapidly identify and mitigate Common Vulnerabilities and Exposures (CVE) with trusted software, automation, and built-in protections. Organizations can reduce the security risk window with Red Hat Lightspeed (included with a RHEL Subscription), by getting prompt notifications and remediations for newly discovered threats. Red Hat Lightspeed leverages deep threat intelligence to help organizations understand the most critical CVEs posing a threat to their environment.
- Unified Core-to-edge tooling: Red Hat Device Edge combines RHEL with Red Hat’s supported distribution of MicroShift and Red Hat Edge Manager. Now, users can leverage the same familiar, trusted tools and processes to manage remote NVIDIA Jetson Orin devices, reducing the strain on IT staff.
The NVIDIA Jetson Orin family, including the Orin Nano, Orin NX, and AGX Orin series, provides a vast range of scalable solutions for AI inferencing in lightweight, low-power form factors. By bringing Red Hat Device Edge to these devices, developers can write applications once and deploy them on a broad range of industry leading computing architectures and environments, offering control over your data and low-latency responses without needing to transmit sensitive data back to a central cloud.
Whether you are building advanced computer vision systems for rail anomaly detection or intelligent industrial robotics, you now have the enterprise-grade foundation required to take your projects out of the lab and into the field.
Ready to get started? Contact your Red Hat representative today to learn more about deploying Red Hat Device Edge on NVIDIA Jetson Orin platforms in your production environment.
About the authors
Kelly leads the edge strategy for solutions, ecosystems and sales globally at Red Hat. She is a transformation strategist who partners with executives to drive client-centric transformation. Over the past 25 years, her focused approach has led these organizations to achieve goals from securing marketing share through new product entrance, M&A integration and operational digitization. Her work was recognized by receiving the Transformation Leader of the Year Award by the prestigious Women in IT organization.
Luke Thompson is a Senior Product Manager for the Edge Computing portfolio at Red Hat, focused on delivering platform capabilities that simplify how edge technologies are adopted and used in real-world environments.
He brings a strong background in industrial automation and IT/OT convergence, with experience helping organizations integrate complex systems, streamline data flows, and turn operational data into actionable insights in manufacturing and industrial settings.
Today, Luke applies this expertise to bridge the gap between sophisticated IT infrastructure and the practical needs of users at the edge, making advanced technologies more accessible, usable, and impactful.
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