
Determined is an open-source deep learning training platform designed to accelerate model development by simplifying infrastructure management. It offers high-performance distributed training, advanced hyperparameter tuning, GPU scheduling, and integrated model management. The platform allows users to focus on model building rather than infrastructure complexities, supporting various deployment options including AWS, GCP, Kubernetes, and on-premise setups. It also integrates with popular tools and IDEs like PyCharm and VS Code, and supports frameworks such as TensorFlow, PyTorch, and DeepSpeed.

Determined is an open-source deep learning training platform designed to accelerate model development by simplifying infrastructure management. It offers high-performance distributed training, advanced hyperparameter tuning, GPU scheduling, and integrated model management. The platform allows users to focus on model building rather than infrastructure complexities, supporting various deployment options including AWS, GCP, Kubernetes, and on-premise setups. It also integrates with popular tools and IDEs like PyCharm and VS Code, and supports frameworks such as TensorFlow, PyTorch, and DeepSpeed.
Product: Open-source Determined Training Platform for distributed deep-learning training and experiment management
Founders: Ameet Talwalkar; Evan Sparks; Neil Conway
Funding (pre-acquisition): $13.6M reported (seed + Series A); Series A led by GV announced Mar 13, 2019
Headcount: 14 employees (reported)
Company status: Joined Hewlett Packard Enterprise in June 2021
Machine-learning infrastructure and developer tooling for efficient, scalable deep-learning training.
Machine learning / AI infrastructure
2600000.00
Reported seed round
11000000.00
Series A announced Mar 13, 2019
“GV led Series A; other disclosed investors include Amplify Partners, CRV, Haystack, SV Angel, The House, Specialized Types, LG Electronics, Green D Ventures, Alumni Ventures”