
ClearML
7.4#1 in gpu cluster management softwareFrom $15 a monthFree planWebAPILinuxmacOS
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| Fact | ClearML | Weights & Biases |
|---|---|---|
| Company headquarters | ClearML lists its global headquarters as 2288 Fulton St, Berkeley, California 94704, USA. | LinkedIn lists headquarters at 400 Alabama Street, San Francisco, California 94110, United States. |
| Experiment tracking | The pricing page lists experiment tracking, comparisons, artifacts, metrics and plots, and Git version control integration across Open Source, Free/Pro, and Scale/Enterprise tiers. | The platform automatically records machine-learning pipeline details and provides contextual visual analysis. |
| Headquarters | Berkeley, California, USA | San Francisco, California, United States |
| Integrations | The integrations documentation lists PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Optuna, Hydra, TensorBoard, Matplotlib, and LangChain among supported integrations. | W&B is designed to integrate with customers' ML stacks and tools and offers managed or self-managed deployment choices. |
| Product | ClearML describes its AI infrastructure platform as three layers: Infrastructure Control Plane, AI Development Center, and GenAI App Engine. | Weights & Biases describes itself as an AI developer platform for building AI agents, applications, and models. |
| Support | Scale includes private Slack channel support and an SLA, while Enterprise includes white-glove support with a custom SLA and professional services. | Support tiers are Standard, Standard Plus and Premium; Premium adds 24/7 coverage, faster response targets, roadmap sessions and engineering access. |
ClearML suits AI and machine-learning teams that need experiment management and model development tools alongside GPU resource management. Its hosting choices may also suit teams with self-hosted, VPC, on-premises, or hybrid requirements.
It suits AI developers working on model training, fine-tuning, AI applications, or production monitoring. The free tier may fit smaller projects, while larger teams should note the stated Pro-to-Enterprise transition guideline.