#edge-computing

#edge-computing

As the backbone of artificial intelligence (AI), machine learning, cloud computing and the internet of things (IoT), datacentres are at the centre of modern business infrastructure, but as businesses become more dispersed, the infrastructure surrounding datacentres has become more critical and complex, with network outages no longer isolated events and their cost to businesses never higher, a study from Opengear has found.

For OpenYurt, Kubernetes at the edge means running workloads outside centralised data centres at locations like branch offices or IoT sites. This helps reduce latency, improve reliability when connectivity is limited, and enable tasks such as analytics, machine learning, and device management, all while maintaining consistency with upstream Kubernetes. As the CNCF notes in its Cloud Strategies and Edge Computing blog, deploying compute resources closer to the network edge can deliver high-speed connectivity, lower latency, and enhanced security.

With HyperScale Edge, Commvault is specifically targeting remote locations and smaller businesses where space and IT resources are limited. Think of retail stores, branches, and distribution centers. These environments often have different needs than large data centers. The solution works with validated hardware from Dell, HPE, and Lenovo. Like the other HyperScale products, it is delivered as a software image that is easy to install. This makes implementation faster and more predictable.

The integration combines Scale Computing's Hypercore platform with Bitdefender's GravityZone to secure workloads, virtual desktops, and data in edge environments.

The Box isn't some magical compression algorithm. It's edge AI hardware that can run the models that needed Google's data centers two years ago. And it's shipping right now.