Determined AI

An open-source deep learning training platform.

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Overview

Determined AI is an open-source deep learning training platform that makes it easy to train models faster, at any scale. It provides features for distributed training, hyperparameter tuning, experiment tracking, and resource management. Determined AI is designed to help machine learning engineers to focus on building models, not managing infrastructure.

✨ Key Features

  • Distributed Training
  • Hyperparameter Tuning
  • Experiment Tracking
  • Resource Management and Scheduling
  • Model Registry
  • Open source

🎯 Key Differentiators

  • Strong focus on distributed training and hyperparameter tuning
  • Ease of use and minimal code changes required
  • Open source with enterprise support from HPE

Unique Value: Determined AI simplifies and accelerates deep learning training by providing a unified platform for distributed training, hyperparameter tuning, and experiment tracking.

🎯 Use Cases (4)

Training deep learning models at scale Optimizing hyperparameters for deep learning models Tracking and managing deep learning experiments Managing GPU resources for deep learning

✅ Best For

  • Used by organizations to accelerate their deep learning research and development.

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Teams that are not focused on deep learning and do not require distributed training capabilities.

🏆 Alternatives

Polyaxon Kubeflow Ray Valohai

Compared to building a custom deep learning infrastructure, Determined AI offers a more streamlined and easy-to-use solution with built-in best practices.

💻 Platforms

Web API CLI

🔌 Integrations

PyTorch TensorFlow Keras Kubernetes Slurm AWS GCP Jupyter

🛟 Support Options

  • ✓ Email Support
  • ✓ Dedicated Support (HPE Machine Learning Development Environment tier)

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Determined AI is open source and free to use.

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