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Data Center News > Blog > Edge Computing > Zededa rolls out full-stack edge Kubernetes to tackle large-scale AI deployments
Edge Computing

Zededa rolls out full-stack edge Kubernetes to tackle large-scale AI deployments

Last updated: November 14, 2025 12:56 pm
Published November 14, 2025
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Zededa rolls out full-stack edge Kubernetes to tackle large-scale AI deployments
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Zededa, a supplier of edge administration and orchestration software program, launched Edge Kubernetes App Flows, the primary full-stack Kubernetes-as-a-Service resolution for edge deployments. The providing is particularly constructed for AI-driven purposes, streamlining edge features with automation of utility lifecycle processes together with packaging, configuration, supply and observability decreasing the quantity of handbook work required.

It could deal with giant scale deployments throughout 1000’s of edge clusters (even beneath intermittent connections) and it seeks to carry AI processing nearer to the info supply, chopping down on cloud information switch prices.

“Our prospects are exhibiting us what’s attainable when AI and distributed cloud-native purposes meet the realities of the sting,” says Mentioned Ouissal, Zededa’s CEO and founder. ”Our new full-stack Kubernetes resolution is a pure extension of Zededa’s award-winning edge platform, delivering the agility and management builders require, serving to groups orchestrate experiences and infrastructure seamlessly throughout each location.”

Constructed on Zededa’s zero-trust edge platform, it supplies safety, offline resilience, and the power to scale from tens of 1000’s of gadgets as much as Kubernetes situations.

Highlights of the providing embrace GitOps-driven steady supply, dynamic observability, versatile utility definitions and {hardware} independence for edge AI workloads. The answer tackles challenges which might be particular to the sting environments, by way of sources constraints, transient connectivity and necessities for safe, scalable operation.

The Zededa Edge Kubernetes App Flows characteristic is mostly out there now and may be simply added to present Zededa deployments to be used with light-weight Kubernetes distributions corresponding to K3s. 

It’s particularly helpful for manufacturing, retail, transportation and power organizations for deploying clever workloads with out the added strain of complexity.

See also  NTT Data, Schneider Electric promise a new era of AI-driven edge connectivity

Zededa lately expanded its management group with key C-suite appointments to fulfill rising international demand for edge AI options.

Associated

AI/ML  |  edge AI  |  edge orchestration  |  Kubernetes  |  Zededa

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TAGGED: deployments, edge, fullstack, kubernetes, LargeScale, Rolls, tackle, ZEDEDA
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