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在Amazon EKS上运行JupyterLab和Code Editor，SageMaker AI Spaces插件上手

Run interactive IDEs on Amazon EKS with SageMaker AI to power up your AI workflows

Primary sourceAWS Machine Learning Blog@Rajat Jain
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Why we picked it

AWS出了个新插件，能在你已有的EKS集群上直接跑JupyterLab和Code Editor，不用另起炉灶，还支持VS Code远程连。

AWS发布了SageMaker AI Spaces插件，让团队可以在现有Amazon EKS集群上运行托管的JupyterLab和Code Editor环境。

Image · AWS Machine Learning Blog
Body

本文演示了安装和配置该插件的步骤，支持从浏览器访问，也能通过SSH-over-SSM从VS Code连接。还介绍了用Amazon Cognito对接OpenID Connect登录，实现团队统一身份认证。

Original · AWS Machine Learning Blog

Run interactive IDEs on Amazon EKS with SageMaker AI to power up your AI workflows

The Amazon SageMaker AI Spaces add-on for Amazon EKS runs managed JupyterLab and Code Editor environments on the cluster your ML team already operates. This post shows how to install and configure the add-on, connect from the browser and from VS Code over SSH-over-SSM, and move your team to OpenID Connect sign-in with Amazon Cognito.

Industry Coordinates & Source Verification

This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Amazon EKS, SageMaker AI, JupyterLab, Code Editor.

Primary source verification: published directly by AWS Machine Learning Blog with first-party authority.

#Amazon EKS#SageMaker AI#JupyterLab#Code Editor#Amazon Cognito

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