ClearML
Open-source MLOps platform for experiments, pipelines, and model management
Open-source deep learning platform for distributed training and hyperparameter tuning
Determined AI is a genuinely capable open-source platform for teams that do heavy deep learning training and need distributed training, HPO, and GPU sharing without stitching tools together. Being HPE-backed gives it staying power and an enterprise path via MLDE. It is more training-infrastructure than a broad MLOps suite, and its momentum is quieter than newer tools, so check that the open-source project's activity fits your needs. Verify current HPE MLDE packaging and support terms.
Determined AI is an open-source deep learning platform for distributed training, hyperparameter tuning, experiment tracking, and GPU resource management, now maintained by HPE and underpinning HPE MLDE.
Determined AI is an open-source deep learning training platform designed to remove the infrastructure complexity from model development. It provides distributed training out of the box, automated hyperparameter search, built-in experiment tracking, and cluster-level GPU resource management, so data science teams can train large models and share expensive GPU resources without building their own orchestration. The platform works with popular frameworks including PyTorch and TensorFlow and handles fault-tolerant, multi-GPU and multi-node training, letting researchers focus on models rather than plumbing. Its scheduler and resource management make it particularly useful for teams that need to fairly allocate limited GPU capacity across many concurrent training jobs. Determined AI was acquired by Hewlett Packard Enterprise in 2021, and HPE committed to continuing it as an open-source project. It now serves as the foundation for the commercial HPE Machine Learning Development Environment (MLDE), which packages the open-source platform with enterprise support and integration into HPE's compute offerings. Teams can adopt the free, self-hosted open-source Determined for training and experimentation, or move to HPE MLDE for enterprise features and support.
Determined AI is an open-source deep learning platform for distributed training, hyperparameter tuning, and GPU cluster management, now maintained by HPE and powering HPE MLDE.
Determined AI built an open-source platform to simplify deep learning training and was acquired by Hewlett Packard Enterprise in 2021. HPE committed to keeping it open source while building the commercial HPE Machine Learning Development Environment on top of it.
The platform targets data science teams that need to train models at scale and share GPU resources efficiently, backed by the resources and longevity of a large enterprise vendor.
Determined provides distributed, fault-tolerant training, automated hyperparameter search, experiment tracking, and cluster-level GPU scheduling and resource management. It works with PyTorch and TensorFlow and deploys on-premise or on Kubernetes.
The open-source project is free to self-host, while HPE MLDE packages it with enterprise support and integration into HPE's compute portfolio.
Determined AI targets deep learning research teams and enterprises that run heavy, distributed training workloads and need efficient GPU cluster sharing.
ML researchers and engineers training deep learning models.
ML platform leads and HPC/infrastructure owners.
Data science managers and MLOps engineers.
Research-heavy and enterprise ML teams that need distributed training, hyperparameter tuning, and shared GPU cluster management, especially those aligned with HPE infrastructure.
Determined AI was acquired by HPE in 2021; it is now part of HPE rather than an independent funded startup. Verify current HPE MLDE offerings with the vendor.
Yes, Determined is an open-source machine learning platform and remains open source under HPE's stewardship.
Determined AI was acquired by Hewlett Packard Enterprise (HPE) in 2021, which continues to develop it as open source.
It provides distributed training, hyperparameter tuning, experiment tracking, and GPU resource management for deep learning.
The HPE Machine Learning Development Environment is the commercial product built on open-source Determined, adding enterprise support and HPE integration.
It works with popular frameworks including PyTorch and TensorFlow.
Side-by-side pages for pricing, features, and best-fit use cases.
Open-source MLOps platform for experiments, pipelines, and model management
Open-source framework that makes LLM fine-tuning reproducible from a single YAML config
Open-source library for fast, memory-efficient LLM fine-tuning
Platform for fine-tuning and serving open-source LLMs (now part of Rubrik)