Determined AI


Determined is an open-source deep learning training platform that makes building models fast and easy. Determined enables you to:

  • Train models faster using state-of-the-art distributed training, without changing your model code

  • Automatically find high-quality models with advanced hyperparameter tuning from the creators of Hyperband

  • Get more from your GPUs with smart scheduling and cut cloud GPU costs by seamlessly using preemptible instances

  • Track and reproduce your work with experiment tracking that works out-of-the-box, covering code versions, metrics, checkpoints, and hyperparameters

Determined integrates these features into an easy-to-use, high-performance deep learning environment — which means you can spend your time building models instead of managing infrastructure.

To use Determined, you can continue using popular DL frameworks such as TensorFlow and PyTorch; you just need to update your model code to integrate with the Determined API.

More information about Determined can be found on the website.

Get Started Locally

Follow these instructions to install and set up Docker.

# Start a Determined cluster locally
python3.7 -m venv ~/.virtualenvs/test
. ~/.virtualenvs/test/bin/activate
pip install determined-cli determined-deploy
det-deploy local cluster-up --no-gpu
## Access web UI at localhost:8080. By default, "determined" user accepts a blank password.

# Navigate to a Determined example
git clone
cd determined/examples/computer_vision/cifar10_pytorch

# Submit job to train a single model on a single GPU
det experiment create const.yaml .

Detailed Instructions


To install Determined, please follow the installation instructions. Determined can be installed on the public cloud, an on-premise cluster, or a local development machine.

Each user should also install the Determined command-line tools on systems they will use to access Determined.

Next Steps

We recommend starting with the Quick Start Guide if you’re new to Determined.

Next, learn more about Determined’s Python APIs by following a tutorial. Follow the tutorial for your preferred framework:

Join the Community

Whether you’re trying our software for the first time or you’re training production models, we’d love to hear from you!

Documentation Structure

The Determined documentation is divided up into five main categories:

  • Tutorials are simple step-by-step guides about getting started with different topics of Determined. Tutorials are a good place to get started with using the product.

  • Topic Guides discuss concepts and topics at a high level. They provide useful information and explanation.

  • Reference guides contain technical reference for our APIs. They describe how to use it; however, these guides assume you have a working understanding of key concepts of Determined.

  • How-to guides take you through the steps needed to address key use-cases. You can think of them as advanced tutorials that assume some knowledge of key concepts of Determined.

  • System administration guides take you through what’s needed to set up and configure the Determined system.

© Copyright 2020, Determined AI.