Business & partnerships Developer tools Infrastructure & hardware

Manage Amazon SageMaker HyperPod Spaces directly from SageMaker Studio

AWS Machine Learning Giuseppe Angelo Porcelli

Publication summary. The terms of AWS Machine Learning do not allow reproduction of the full article: read the complete text on the original website.

Source summary (English)

Data scientists and ML engineers can now create, configure, start, stop, and open Amazon SageMaker Spaces on SageMaker HyperPod EKS clusters directly from SageMaker Studio. Launch JupyterLab and Code Editor environments in a few clicks, without using command-line tools.

Read the full article

aws.amazon.com

View on AWS Machine Learning (new tab)

Topics

Share

X (new tab) LinkedIn (new tab) Facebook (new tab) Email

Related articles