Empower Your Deep Learning with Seamless Model Training
Harness the power of our open-source platform to build precise deep learning models swiftly. Optimize GPU resources, tune hyperparameters, and reproduce experiments effortlessly.
Features
- Scalable Distributed Training: Train at any scale without code changes. Determined manages provisioning, networking, and fault tolerance for you.
- Hyperparameter Tuning: Effortlessly perform scalable hyperparameter searches using state-of-the-art algorithms, with detailed exploration using visualizations.
- Comprehensive Experiment Tracking: Automatically track metrics and visualize results with TensorBoard and Determined UI, ensuring reproducibility.
- Cluster Resource Management: Share on-prem or cloud GPUs with ease, using Determined’s advanced scheduling and support for spot instances.
Use Cases:
- Streamlined Deep Learning Research: Focus on innovation instead of mundane tasks like manual hyperparameter tuning or managing hardware resources.
- Productionalizing Deep Learning Workflows: Leverage expert-built tools for smoothly transitioning from research to production.
- Collaborative ML Projects: Enable your team to share resources and collaborate on experiments with real-time dashboard and checkpointing.
Determined provides a robust and flexible platform to accelerate deep learning model development, ensuring scalable, efficient, and collaborative workflows.
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