NVIDIA 如何跨联邦 Kubernetes 与 AI 平台传递用户身份
How to Carry User Identity Across Federated Kubernetes and AI Platforms
NVIDIA 介绍如何在联邦 Kubernetes 与 AI 平台之间传递用户身份：用户可从中央门户打开受治理数据集、启动 notebook、调用另一集群中的助手，但身份在每一步都要跨越控制面与数据面边界，传统单点登录在此失效。
Modern AI platforms are no longer a single application behind one login screen. A user may start in a central portal, open a governed dataset, launch a notebook...
Modern AI platforms are no longer a single application behind one login screen. A user may start in a central portal, open a governed dataset, launch a notebook where that data resides, and invoke an assistant that calls services in another cluster. The workflow feels unified, but identity crosses control-plane and data-plane boundaries at every step. That is where conventional single sign-on…
来源：NVIDIA Developer Blog · developer.nvidia.com