Run, manage & evaluate 1000s of experiments using any, IDE, 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
It all starts with an import...
Track metrics, params
Merge Atlas seamlessly into any Python code
The Atlas python SDK is flexible to use with any IDE or frameworks
Deploy jobs from the terminal or a script
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.
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
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.
CEO of Diversio
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.
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.