Determined
An open-source machine learning platform for distributed training, hyperparameter tuning, experiment tracking, and resource management.
What is Determined?
Determined is an open-source machine learning platform that simplifies the end-to-end deep learning workflow. It handles distributed training, hyperparameter tuning, experiment tracking, and resource management, enabling teams to train models faster and more efficiently. The platform integrates with PyTorch and TensorFlow, providing a unified environment for both research and production.
Machine learning engineers, data scientists, and research teams working with deep learning models who need scalable training, experiment management, and cost-effective GPU utilization.
Developers choose Determined for its integrated approach to ML infrastructure, which reduces operational overhead while providing powerful tools for distributed training and hyperparameter optimization. Its compatibility with major frameworks and self-hosted deployment options make it flexible for both cloud and on-premises environments.
Overview
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Use Cases
Best For
- Teams needing scalable distributed training for large deep learning models
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