An introduction to Segmind

Segmind is a Cloud platform for Data Scientists and ML Engineers to build and manage their data science projects. Segmind uses open-source systems and standards to get you started quickly with your projects. Segmind containerizes your work to create workflows that are portable and scalable.

Open-source tools that Segmind supports

  1. IDE: JupyterLab & Visual Studio Code (VS Code)
  2. ML Frameworks: Tensorflow & Keras, PyTorch, XGBoost, SciPy
  3. Tracking: MLFlow, Tensorboard, Weights & Biases
  4. Scaling: Rapids.ai, Dask

Segmind provides standardised workflow and toolsets to help teams collaborate on ML and data science projects.

Getting started

Create an account


Hosted on Segmind cloud. You need to create an account to get started. We run multiple clusters across cloud providers. You may be given any of the clusters while signing up. Read Quickstart once you have an account to train your first model on Segmind.

Self Hosted

Connect your AWS, GCP, or Azure cloud accounts to the Segmind platform and set up your clusters within a few minutes. Built to scale for organizations looking for modern and state-of-the-art architecture, security, and dedicated technical support. Click here to create an enterprise account.

All the services and components can be accessed via Python Library or via the console at cloud.segmind.com.

Updated 24 May 2022
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