Welcome to Determined!¶
New features, upgrades, deprecation notices, known issues, and bug fixes: Release Notes
Determined is an open source deep learning training platform that makes building models fast and easy.
With Determined you can:
Use state-of-the-art distributed training to train models faster without changing model code.
Automatically find high-quality models using advanced hyperparameter tuning.
Get more from your GPUs and reduce cloud GPU costs with preemptible instances and smart scheduling.
Leverage experiment tracking out-of-the-box to track and reproduce your work, tracking code versions, metrics, checkpoints, and hyperparameters.
Continue using popular deep learning libraries, such as TensorFlow, Keras, and PyTorch by simply integrating the Determined API with your existing model code.
Determined integrates these features into an easy-to-use, high-performance deep learning environment so you can spend your time building models instead of managing infrastructure.
Start here ...
Learn the basics steps needed to set up a Determined environment and train models.
Learn about core concepts and key features before diving into more detailed information.
Set up an on-premise or cloud-based cluster, including AWS, GCP, and Azure.
Model Developer Guide
Learn how to work with Training APIs and configure your distributed training experiments.
Step-by-step tutorials and deep dives give you practical, real-world experience using Determined.
Explore API libraries and configuration settings.