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Add notes on AICR
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docs/kubecon-2026/tuesday/0-keynote.md

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@@ -73,6 +73,12 @@ of resources you need. Give developers simple building blocks and abstract away
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Kubernetes RBAC is great at telling _what_ something can do, but not to _which_ resource. [Cedar](https://www.cedarpolicy.com/blog/cedar-for-kubernetes)
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is a tool to build emission policies to say "actually...not to this resource".
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## Optimize Kubernetes for AI
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[Nvidia AI Cluster Runtime](https://aicr.dgxc.io/) provides a CLI and recipes to set up Kubernetes cluster optimized for
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AI workfloads. The more inputs you provide into the recipe, the more optimized the cluster will be. Once you have
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the recipe for the desired state of the cluster, you can create a bundle which can be deployed through Helm or ArgoCD.
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## Links
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- <https://insights.linuxfoundation.org/>

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