Determined

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Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. It works with PyTorch and TensorFlow.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is determined?

Determined is an open-source machine learning platform designed to streamline the entire machine learning lifecycle. It simplifies complex tasks such as distributed training, allowing for faster model development and iteration. The platform also provides robust hyperparameter tuning capabilities to help users achieve optimal model performance. Beyond training, Determined offers comprehensive experiment tracking for analysis and reproducibility, alongside efficient resource management to help reduce cloud GPU costs. It is fully compatible with popular deep learning frameworks like PyTorch and TensorFlow, making it a versatile solution for developers and researchers.

Best used for

Ideal for developers who need to accelerate deep learning model development, optimize model hyperparameters, and ensure experiment reproducibility. Especially valuable for teams working with PyTorch and TensorFlow in distributed environments, seeking to reduce cloud GPU costs.

Common actions

manage distributed training

optimize hyperparameters

track experiments

manage ML resources

deploy ML models

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Capabilities

Key features

Distributed training
Hyperparameter tuning
Experiment tracking
Resource management
PyTorch/TensorFlow compatible
CLI and Web UI

Target Audience

developer

Integrations

awsgcpkubernetesslurmpbs

Pricing & Plans

Open Source

Free

FAQs

What deep learning frameworks does Determined support?

Determined is designed to be fully compatible with popular deep learning frameworks. It seamlessly integrates with both PyTorch and TensorFlow, allowing users to leverage their existing codebases and expertise within the platform's ecosystem for distributed training and hyperparameter tuning.

Can Determined be deployed on cloud platforms?

Yes, Determined offers flexible deployment options. Users can deploy the platform locally for development and testing, or on major cloud services such as Amazon Web Services (AWS) and Google Cloud Platform (GCP). It also supports Kubernetes and Slurm/PBS environments.

What are the main components of the Determined platform?

The Determined platform consists of three primary components: a Python library for integrating existing PyTorch or TensorFlow code, a command-line interface (CLI) for cluster management and experiment creation, and a Web UI for visualizing metrics, logs, and managing resources.

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Coding & Development › DevOps & Infrastructure Coding & Development › Open Source & Models

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