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© 2020 Square |  POLICIES | Atlas Community Edition License

TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc. RAPIDS, the RAPIDS logo and any related marks are trademarks and/or registered trademarks of NVIDIA Corporation. Microsoft Azure, the Microsoft Azure logo and any related marks are trademarks and/or registered trademarks of Microsoft Corporation Google Cloud Platform, the Google Cloud Platform logo and any related marks are trademarks and/or registered trademarks of Google Inc.

Foundations Atlas: 

Run, manage & evaluate 1000s of experiments using any IDE or python framework. 

Seamless integration with Tensorboard & NVIDIA's RAPIDS framework.

Lower your GPU compute costs by over 50% with Atlas' job scheduler.

a machine learning tool for high-performing data scientists

Over 1000 ML practitioners love and trust Atlas

Foundations makes the frustrating parts of machine learning easy and even enjoyable, allowing you to have insights you wouldn’t have otherwise.

Creator of AlexNet
Alex Krizhevsky,

Being in a company where we'd have to run everything locally, I really like the flexibility of Atlas.

Sr. Machine Learning Engineer,

Foundations allowed our team to quickly build NLP functionality into our core product, ensuring  robust and accurate insights for our customers.

Laura McGee,
CEO of Diversio

Your Code Here

Track metrics, params 

and artifacts

Deploy jobs from the terminal or a script

It all starts with an import...

Merge Atlas seamlessly into any Python code

The Atlas python SDK is flexible to use with any IDE or frameworks

Atlas’s built-in scheduler automatically handles the queuing and execution of jobs

Track and analyze your results in a dashboard

The SDK, Dashboard, and scheduler all run on your own machine so your data never leaves your machine.


Rapidly queue and run 1000s of experiments concurrently on whatever hardware you’re working with.


The Atlas scheduler can run on cloud, an on-premise cluster, or on the machine under your desk. 

Built-in integrations

Send your jobs to TensorBoard with one click or easily improve your data processing speed  with NVIDIA RAPIDS framework using Atlas's custom worker image functionality.

Your workflow, your rules

Atlas is built to be non-intrusive, allowing you to run almost any ordinary Python code without modification.


View artifacts as your models are training to check their progress.

Built with support from the best in the industry

Download  Version 2.0