Red Hat Device Edge on NVIDIA Jetson Orin and IGX Orin now available in tech preview

18 juillet 2024Henry Geay de Montenon, Ben Cohen2 minutes (temps de lecture)

Organizations need to move fast and with agility to remain competitive and stay ahead of the market. And part of this includes leveraging edge computing alongside artificial intelligence and machine learning (AI/ML). By extending AI capabilities to the edge, organizations can better collect data, digest images, train models based on trends and run inferencing for better real-time responses, offline functionality and security of sensitive information.

With AI and edge, companies can process large volumes of data faster and without transmitting every bit of raw data, live to a central cloud. AI/ML at the edge opens many doors - helping factories predict equipment failure before it happens, keep ship operations running when at sea and disconnected from shore internet, or helping retail shops show evolving offers to customers in real-time. But to make this happen, you need the platform and the infrastructure to deliver it.

With this in mind, we’re pleased to announce that Red Hat Device Edge on NVIDIA® Jetson Orin™ and NVIDIA IGX Orin™ is now available in tech preview for testing. Red Hat Device Edge, with the inclusion of Red Hat Enterprise Linux (RHEL) as the foundation at the edge for enterprise-grade Linux, provides the necessary capacities for inferencing in resource-constrained environments as the need for small, lightweight form-factor and low-power consuming devices is on the rise. Red Hat Device Edge provides the platform to bring applications from inside the data center out to the edge. This means that familiar tools and processes that teams are using in their cloud - can be used at the edge. This reduces the strain on staff, allows for remote deployments where there may not be any staff, and allows applications to be written once - but run anywhere - from core to cloud to edge. And with the newly released RHEL 9.4 available as part of Red Hat Device Edge, there’s additional support for building FIPS-enabled RHEL for edge images using image builder. The NVIDIA® Jetson Orin™ and NVIDIA IGX Orin™ line of devices provides an extended range of solutions to these demands, from the very low power Jetson Orin nano all the way up to the IGX platform and its optional dGPU for training at the far edge*.

Customers with a Jetson Orin Nano, NX, AGX or IGX can now install Red Hat Device Edge and enjoy all the benefits of our tested, trusted operating system, manage it with ansible and even try Red Hat’s build of MicroShift, our Kubernetes platform for edge devices. Also included in tech preview is:

iGPU
Full GUI (X11) support
USB cameras support
GPU-accelerated NVIDIA NGC containers support

Ready to get started with the tech preview for Red Hat Device Edge for NVIDIA Jetson Orin platforms? You can check out this learning path or get in touch with us and start your Red Hat Device Edge trial today!

* dGPU support not part of the initial technical preview

À propos des auteurs

Henry Geay de Montenon

Principal Field Product Manager

Henry is a Field Product Manager for Red Hat with over 20 years of experience in distributed and hybrid IT systems and a consulting background. He enjoys fiddling with bleeding edge technologies and exotic hardware, naturally leading him to get involved with topics such as virtualization, cloud computing, edge and far edge infrastructures as well as AI/ML.

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Ben Cohen

Principal Product Marketing Manager

Ben has been at Red Hat since 2019, where he has focused on edge computing with Red Hat OpenShift as well as private clouds based on Red Hat OpenStack Platform. Before this he spent a decade doing a mix of sales and product marking across telecommunications, enterprise storage and hyperconverged infrastructure.

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