订阅内容

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 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. 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 get in touch with us and  start your Red Hat Device Edge trial today!

* dGPU support not part of the initial technical preview


关于作者

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.

Read full bio

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.

Read full bio
UI_Icon-Red_Hat-Close-A-Black-RGB

按频道浏览

automation icon

自动化

有关技术、团队和环境 IT 自动化的最新信息

AI icon

人工智能

平台更新使客户可以在任何地方运行人工智能工作负载

open hybrid cloud icon

开放混合云

了解我们如何利用混合云构建更灵活的未来

security icon

安全防护

有关我们如何跨环境和技术减少风险的最新信息

edge icon

边缘计算

简化边缘运维的平台更新

Infrastructure icon

基础架构

全球领先企业 Linux 平台的最新动态

application development icon

应用领域

我们针对最严峻的应用挑战的解决方案

Original series icon

原创节目

关于企业技术领域的创客和领导者们有趣的故事