ClearML
Free tierThe AI Infrastructure Platform for maximizing AI performance and scalability at enterprise scale
Free tier available·Technical·API available·Open source
Key strengths
End-to-end AI infrastructure platform (development, training, deployment)GPU cluster management across on-prem, cloud, and hybrid environmentsOpen-source with self-hosting optionExperiment tracking and MLOps automationGenAI/LLM deployment with built-in access controlMulti-tenancy with role-based access control and billing
Free tier + paid plans · from $15 USD/mo
San Jose, USA
Founded 2019
Self-hostable
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Recent changes
- Plans updated: Community (free, up to 3 users); Pro at $15/user/month + usage; Scale (custom quote, VPC only, 8–48 GPUs); Enterprise (custom quote, VPC or on-prem). Also 100% open-source self-hosted option on GitHub.
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- Experiment tracking & MLOps automation: Capture, compare, and reproduce ML experiments with automated tracking integrated into existing training pipelines.
- GPU cluster management: Orchestrate GPU workloads across on-prem, cloud (AWS, GCP, Azure), and hybrid environments using Kubernetes, Slurm, or PBS schedulers.
- GenAI/LLM deployment: Deploy and serve large language models with built-in access control and multi-tenancy.
- Self-hosted AI infrastructure: Run the full ClearML stack on your own hardware using the open-source GitHub repository, with no vendor lock-in.
- Enterprise MLOps at scale: Leverage role-based access control, billing management, and VPC or on-prem deployment for regulated or large-scale environments.
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