ClearML
by ClearML
Open source end-to-end MLOps platform for experiment tracking, pipelines, dataset versioning, model serving and GPU orchestration.
About
Open source end-to-end MLOps platform for experiment tracking, pipelines, dataset versioning, model serving and GPU orchestration.
ClearML is an end-to-end platform that covers the full AI production lifecycle, from experiment management and dataset versioning to pipelines, model repository, deployment and compute orchestration. Teams log experiments with a few lines of code, version datasets and artifacts, and reproduce any run later from a central workspace.
Beyond tracking, ClearML orchestrates jobs across clouds, Kubernetes, Slurm and on-prem clusters, with hyperparameter optimization, pipeline triggers, fractional GPU support and cloud auto scaling on AWS, GCP and Azure. It is available as open source, as a hosted service, or as a self-managed deployment in a VPC, on-prem or air-gapped environment, with SSO, LDAP and role-based access control for enterprise teams.
Key features
Product details
Vendor
ClearML
Category
MLOps Platforms
Pricing model
freemium
Starting price
Free Community plan; Pro $15/user/month plus usage
Free trial
No
Deployment
Hosted SaaS, self-hosted, VPC, on-premises, air-gapped, hybrid
Company size
Individuals, small teams to large enterprises
Pricing
Pricing model: freemium
Plans
- Community: free for teams up to 3. Pro: $15 per user per month plus usage, for teams up to 10. Scale: custom quote, for 8-48 GPUs. Enterprise: request a quote. Open source edition on GitHub.
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