AWS 推出 SageMaker AI Spaces 插件，在 EKS 上运行交互式 IDE
原标题：Run interactive IDEs on Amazon EKS with SageMaker AI to power up your AI workflows
AI 摘要
AWS 发布了 SageMaker AI Spaces 插件，用于在 Amazon EKS 集群上运行 JupyterLab 和 Code Editor 等交互式 IDE。该插件使数据科学家能在现有集群上快速启动开发环境，无需切换到独立 JupyterHub 或本地笔记本，从而保留 GPU 节点、共享存储和 IAM 角色。相比传统方案（需 3-5 天设置），该插件可在约 5 分钟内启动完整配置的 Space，并将 GPU 利用率提升高达 30%。
正文节选
Run interactive IDEs on Amazon EKS with SageMaker AI to power up your AI workflows To power up AI workflows on Amazon Elastic Kubernetes Service (Amazon EKS), data scientists need interactive IDEs like JupyterLab and Code Editor. Yet running those IDEs usually means leaving the cluster that hosts their pipelines, moving to a standalone JupyterHub deployment or a local laptop. That switch leaves them without the GPU nodes, shared storage, and AWS Identity and Access Management (IAM) roles their p