Determined - AI Model Libraries & Training Tool
Overview
Determined is an open-source deep learning platform for distributed training, experiment management, and scalable model deployment. It helps teams run large-scale training jobs, track experiments, and deploy trained models.
Key Features
- Open-source platform for deep learning workflows
- Distributed training across multiple GPUs and nodes
- Experiment management with tracking and reproducibility
- Scalable deployment for serving trained models
Ideal Use Cases
- Training deep learning models on multi-node GPU clusters
- Managing and tracking experiments at scale
- Deploying trained models for production inference
- Research workflows requiring reproducibility and collaboration
Getting Started
- Clone the repository from https://github.com/determined-ai/determined
- Read the repository README and official documentation for installation
- Install Determined components or packages per documentation
- Configure cluster resources, agents, and training settings as documented
- Launch an example experiment and monitor progress via the platform tools
Pricing
Open-source; no pricing information provided in the source repository.
Key Information
- Category: Model Libraries & Training
- Type: AI Model Libraries & Training Tool