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Akraino Release 4 Enables Kubernetes Across Multiple Edges, Integrates across O-RAN, Magma, and More

7 New Akraino R4 Blueprints (total of 25+)

Akraino is Kubernetes-ready with K8s- enabled blueprints across 4 different edge segments (Industrial IOT, ML, Telco, and Public Cloud)

New and updated blueprints also target ML, Connected Car, Telco Edge, Enterprise, AI, and more

LF Edge, an umbrella organization within the Linux Foundation that creates an open, interoperable framework for edge computing independent of hardware, silicon, cloud, or operating system, announced the availability of Akraino Release 4 (Akraino R4). Akraino’s fourth release enables additional blueprints that support various deployments of Kubernetes across the edge, from Industrial IoT, to Public Cloud, Telco, and Machine Learning (ML).

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Launched in 2018, and now a Stage 3 (or “Impact” stage) project under the LF Edge umbrella, Akraino delivers an open source software stack that supports a high-availability cloud stack optimized for edge computing systems and applications. Designed to improve the state of carrier edge networks, edge cloud infrastructure for enterprise edge, and over-the-top (OTT) edge, it enables flexibility to scale edge cloud services quickly, maximize applications and functions supported at the edge, and to improve the reliability of systems that must be up at all times.

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“Now on its fourth release, Akraino is a fully-functioning open edge stack,” said Arpit Joshipura, general manager, Networking, Edge and IoT, the Linux Foundation. “This latest release brings new blueprints that focus on Kubernetes-enablement across edges, as well as enhancements to other areas like connected cars, ML, telco and more. This is the power of open source in action and I am eager to see even more use cases of blueprint deployments.”

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