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Hyperconverged infrastructure combines compute, networking and storage into a single package. In fact, it is the reason why edge computing can start to work.
together with different application development bundles.
That can add a lot of value for edge workloads. Let’s say an agency has a more traditional piece of analysis that’s built for virtual machines but then wants to spin a newer piece of analysis up and down much more rapidly. Through Red Hat OpenShift, the new workload could live on containers, next to virtual machines, while being fully integrated with storage so that it’s easy to
use and manage.
Getting started with a new technology is
always a challenge. That’s why we created KubeFrame for AI-Edge, the framework
for Kubernetes. It is Red Hat OpenShift, Red Hat OpenShift Container Storage, and various applications and management tools packaged into a prescriptive set of hardware.
KubeFrame for AI-Edge gives agencies a baseline and an easy button to press that can be deployed in the vast majority of
scenarios to get them started. The advantage is that we’ve tested all the elements together, and the package makes it possible for agencies to streamline multiple deployments so they can quickly start reaping the benefits of edge computing.
Garrett Clark is the practice lead for OpenShift Virtualization, Storage and Hyperconverged Infrastructure for Red Hat North American Public Sector.
KubeFrame for AI-Edge
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