Amazon SageMaker Studio Lab

Other

Free browser‑based JupyterLab environment for ML experiments with CPU/GPU and persistent storage.

Amazon SageMaker Studio Lab is a free, browser‑based machine learning development environment powered by open‑source JupyterLab. It gives users access to T3.xlarge CPU and G4dn.xlarge GPU runtimes (with session and daily limits), along with 15 GB of persistent storage, Git integration, preinstalled ML frameworks, and the SageMaker Distribution environment for easy migration to SageMaker Studio. No AWS account or credit card is required. Ideal for students, educators, and developers looking to learn, prototype, or teach ML workflows without setup overhead.

Industry: Other

Pricing: free

Use cases: students, educators, developers, data scientists

Capabilities: Learning and experimenting with machine learning without cloud setup or billing., Running Jupyter notebooks with access to CPU or GPU compute and persistent storage., Prototyping models with preinstalled ML frameworks and saving work across sessions., Collaborating via GitHub integration and sharing notebooks with "Open in Studio Lab" badges., Easily migrating projects to full Amazon SageMaker Studio using the SageMaker Distribution environment.

Tags: JupyterLab interface, persistent storage, CPU and GPU runtime, GitHub integration, educational tool, lightweight ML prototyping

• Is Amazon SageMaker Studio Lab free to use?
• Is an AWS account required to use Studio Lab?
• Does Studio Lab offer persistent storage?
• Can I use both CPU and GPU runtimes?
• Does Studio Lab allow me to select my AWS region?