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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Full Changelog: https://github.com/Azure/KAN/compare/0.41.43...0.48.20
Published by Haishi2016 over 1 year ago
Full Changelog: https://github.com/Azure/KAN/compare/0.41.41...0.41.43
Published by Haishi2016 over 1 year ago
This is the first weekly KAN update. In this release:
Full Changelog: https://github.com/Azure/KAN/compare/0.41.40...0.41.41
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:
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