KAN

KubeAI Application Nucleus for edge is a solution accelerator for creating, deploying, and operating environment-aware solutions at scale that use artificial intelligence (AI) at the edge with the control and flexibility of open-source natively on your environment.

MIT License

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KAN - 0.48.20 Latest Release

Published by Haishi2016 6 months ago

What's Changed

New Contributors

Full Changelog: https://github.com/Azure/KAN/compare/0.41.43...0.48.20

KAN - 0.41.43

Published by Haishi2016 over 1 year ago

What's Changed

Full Changelog: https://github.com/Azure/KAN/compare/0.41.41...0.41.43

KAN - KubeAI Application Nucleus for edge (KAN) - v0.41.41

Published by Haishi2016 over 1 year ago

This is the first weekly KAN update. In this release:

What's Changed

New Contributors

Full Changelog: https://github.com/Azure/KAN/compare/0.41.40...0.41.41

KAN - KubeAI Application Nucleus for edge (KAN) - v0.41.40

Published by penorouzi over 1 year ago

To address challenges of building scalable computer vision AI solutions, we are releasing KubeAI Application Nucleus for edge (KAN - in Mandarin means “to watch”, “to see”) - a Kubernetes-native solution accelerator that enables you to easily develop, orchestrate, and operate computer vision Al applications for the edge with full control and flexibility.

Read our release blog in the Microsoft IoT Blog Community: Introducing KAN: An OSS project for Creation and Management of Computer Vision Edge Al Applications

To learn more about its high-level capabilities please review this document: What is KAN?

To get started please follow this document: Get Started

To discuss any KAN related topics, please join our Discord server:
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Acknowledgements

We would like to acknowledge the individuals, both internal and external, who helped in making this release happen (in no particular order):

Haishi Bai @Haishi2016, Willy Kuo @waitingkuo, Ron Pai @ronpai, Simon Wei @weitongxuan, Hans Chien @hanschien35, Peyman Norouzi @penorouzi, Vladimir Postel @vladimp, Arijit Nerurkar @v-anerurkar, Amira Youssef @Amiyouss, Maria De Quadros, Shreyah Mohanselvan @smshreyah

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