Episode

Streamline your Edge AI development and operations with KAN

with Olivier Bloch, Peyman Norouzi, Vladimir Postel

Internet of Things Show

As more and more organizations rely on edge computing to process data closer to the source, developers and solution operators face the challenge of creating and managing scalable, distributed Al applications across heterogeneous edge environments. To address this challenge, we released Kubernetes AI Application Nucleus for edge (KAN) - a Kubernetes-native open-source project that enables you to easily create, deploy, and manage Al solutions at the edge.

Chapters

  • 00:00 - Teaser
  • 00:36 - Introductions
  • 01:26 - What is KAN?
  • 01:54 - Why should one care about Edge AI?
  • 03:46 - How hard is Edge AI for developers?
  • 06:40 - How is KAN addressing these challenges?
  • 07:56 - Demo: Low/No Code with KAN to build a vehicle occupancy app in minutes
  • 18:22 - High level architecture of a KAN solution
  • 21:17 - Demo: Edge AI at scale with KAN APIs, Kubectl,...
  • 29:40 - Looking under the hoods of KAN
  • 32:42 - Summary and call to action

Azure
Azure IoT Edge