Looking for Google Colab alternative?

SegMind gives 1-Click Jupyter notebooks, managed docker containers and control over your hardware. All the tools that an ML engineer needs.

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Next-generation interface

True Jupyter Experience

Work on pure Jupyter user interface, no modifications. Advance JupyterLab interface includes features found in traditional IDEs such as text editors, terminal along with the traditional Jupyter notebook.


Portability and Reproducibility

Managed Docker Environments

Stopping the session saves the environment (in the docker container). So you can get back to where you were, once you restart your notebook. You are going to save tons of time not reinstalling packages.


Resizable compute

Select Hardware

Choose anything between a single CPU machine to a powerful multi-GPU machine. Changing your machine takes just 2 minutes.


More reasons to choose SegMind

No Timeouts

Complete control over the lifecycle of a VM running your notebook. No timeouts, run your code as long as it takes.

Export Environment

Save and export your environment, either to continue your work elsewhere or to archive your work for future reproduction.

Experiment Tracking

Training metrics such as loss, accuracy etc for each run is automatically tracked on SegMind Track dashboard. No setup required.

Base Dockers

Start with any of the leading machine learning and deep learning frameworks including PyTorch, Tensorflow and more, configured for each kind of hardware environment.


Why Choose SegMind over Google Colab?

SegMind Collab
Timeouts No Yes (8-24 hours)
Managed Environment Yes No
Export Environment (Docker) Yes No
True Jupyter Interface Yes No
Select CPU/GPU Yes No
Experiment Tracking Yes No
Base Dockers of choice Yes No

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