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clear.ml

Open-source platform for ML development, experiment tracking, and GPU cluster orchestration.

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Intro

What is clear.ml?

ClearML is an end-to-end open-source AI infrastructure platform designed to help teams manage GPU clusters, streamline machine learning workflows, and deploy generative AI models. Composed of three primary layers—the clearml control plane, the AI Development Center, and the GenAI App Engine—it provides comprehensive resource scheduling and compute optimization. When compared to alternatives, such as weights and biases vs clearml, the platform serves as a unified suite for clearml experiment tracking, model logging, and managing various clearml tasks type configurations across on-premises, cloud, or hybrid environments.

clear.ml at a glance
Free, Pro from $15/user/mo75K monthly visitsHas free access

Category

AI APIAI Developer Tools
Best For

Best clear.ml use cases by task, role, industry, and platform

These use cases show where clear.ml fits best, ranked by fit score before popularity or pricing.

Experiment TrackingLog, monitor, and compare machine learning metrics, parameters, and code versions to streamline model development workflows.98Machine Learning DeploymentDevelopment work for machine learning deployment connects requirements, errors, code notes, test cases, and implementation decisions into reviewable engineering progress.95Model HostingDeploy, manage, and scale machine learning models across secure cloud environments to power live application features.95Model TrainingPrepare datasets, configure parameters, and run training pipelines to build custom machine learning models for specific business needs.92Resource AllocationDistribute team members, budget, equipment, and project hours across multiple workflows to optimize operational efficiency.90AutomationConnect recurring steps, prepare rules, summarize outcomes, and reduce manual work across routine processes.85
Pricing

clear.ml Pricing Plans

Compare clear.ml free options, clear.ml paid pricing plans, and usage notes before you choose the best way to use this AI tool in 2026.

Free, Pro from $15/user/mo

Free

For teams up to 3 users. Includes experiment management, dataset versioning, model repository, 100GB artifact storage, and 1M API calls per month.

$15 per user/month

For teams up to 10 users. Adds cloud auto-scaling, hyperparameter optimization, dashboards, 120GB artifact storage, and pay-as-you-go usage.

Custom Quote

For VPC deployments with 8-48 GPUs. Adds hyper-datasets, fine-tuning, Kubernetes integration, private Slack support, and standard SLA.

Request a Quote

For large-scale VPC or on-prem clusters. Adds Slurm/PBS/IBM LSF integration, role-based access control, dynamic fractional GPUs, LDAP/SSO, and custom SLA.

Pricing updated:Jun 12, 2026

Features

clear.ml AI Features

Silicon and cloud-agnostic dynamic resource allocation and priority-based scheduling.Integrated development environment support with built-in experiment tracking and pipeline automation.GenAI App Engine to deploy secure LLM APIs with customized orchestration and monitoring.Unified model repository with integrated serving, endpoint monitoring, and lineage tracking.Comprehensive dataset versioning with differential storage capabilities.
Pros & Cons

clear.ml Pros and Cons

Pros

  • Open-source core that can be run on-premises, in a VPC, or via cloud SaaS.
  • Silicon and cloud-agnostic architecture offering great deployment flexibility.
  • Active developer community with support channels on Slack and GitHub.
  • Generous free tier with 100GB of storage for small teams of up to three users.

Limitations

  • Advanced orchestration and quota management policies require Scale or Enterprise licenses.
  • Setting up secure multi-tenant clusters can require substantial DevOps effort.
  • Certain visual annotation features are restricted to higher-tier offerings.

clear.ml FAQ

ClearML is used by over 250,000 AI builders and organizations worldwide, including Meraki, BlackSky, and Nucleai. It helps them solve compute management issues, improve workflow visibility, and simplify operations. Teams can easily keep track of their projects by utilizing options to clearml task add tag and generating a comprehensive clearml report to evaluate system performance.

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