ClearML
Open-source platform managing GPU infrastructure and AI workflow deployment.
Pricing
About ClearML
ClearML is an AI infrastructure platform built around three connected layers: an infrastructure control plane that manages GPU clusters across on-premises, cloud, and hybrid environments; an AI Development Center for coding, training, and testing models; and a GenAI App Engine for deploying large language model applications. The platform is silicon, cloud, and vendor agnostic, and includes features like priority-based job scheduling, dynamic fractional GPU allocation, usage-based billing, and granular role-based access control. ClearML began as an open-source Python SDK for experiment tracking and has grown into a full-stack platform used by AI engineers, DevOps teams, and enterprises running machine learning at scale. Its open-source core — the ClearML SDK, clearml-agent for remote execution, and a self-hostable server with web UI — remains free, while the infrastructure and GenAI layers target organizations managing production AI operations. According to the company, over 2,100 organizations use ClearML, including Nvidia, Meta, Ford, and Philips. The site is thin on pricing detail for the enterprise tiers, and it isn't always clear which capabilities require the paid infrastructure platform versus the free open-source SDK, so prospective users may need a sales conversation to understand what's included at each level.
At a glance
- Company
- ClearML Inc.
- Platforms
- Web
- API
- Available
- Last verified
- August 2026
Who It's For
- •AI/ML engineers and data scientists.
- •Enterprise IT and infrastructure teams.
- •Organizations deploying large-scale AI and GenAI applications.
- •Government and public sector agencies requiring mission-critical AI infrastructure.
How It Works
- 1Provides a control plane to manage and optimize GPU resources across multiple environments.
- 2Includes a development environment for coding, testing, and deploying models.
- 3Enables quick deployment of generative AI models via the GenAI App Engine.
- 4Offers features like multi-tenancy, role-based access, quota management, and billing.
How to Use ClearML
- 1Connect and manage GPU clusters through the infrastructure control plane.
- 2Develop and train models within the AI Development Center's environment.
- 3Deploy models and generative AI applications using the GenAI App Engine with a single click.
- 4Monitor usage, manage security, and optimize resources via the platform's tools.
Key Features
- •Infrastructure control plane for GPU cluster management
- •AI Development Center for coding and training models
- •GenAI App Engine for LLM deployment
- •Priority-based job scheduling
- •Dynamic fractional GPU allocation
- •Role-based access control
Use Cases
- •Managing GPU clusters across on-premises, cloud, and hybrid environments
- •Tracking and reproducing machine learning experiments
- •Deploying LLM and generative AI applications
- •Coordinating AI development pipelines with CI/CD
Pros & Cons
Advantages
- •End-to-end solution covering infrastructure, development, and deployment.
- •Supports multi-cloud, hybrid, and on-prem environments with resource optimization.
- •Open-source platform with extensive features for collaboration and scalability.
Disadvantages
- •Complex setup might require technical expertise.
- •Initial learning curve for comprehensive platform features.
- •Some advanced features may need customization.
Alternatives
- Weights & Biases
- MLflow
- Comet ML
Related Tools
View All Tools
Firecrawl
API platform for AI agents to search, scrape, and interact with web data.
Agno
Open-source Python framework and runtime for building and deploying AI agents.
Automorphic
Infrastructure platform for building self-improving custom language models.
Datature
End-to-end computer vision AI platform for data labeling, model training, and deployment.
Eden AI
Unified API for accessing 500+ AI models with smart routing and compliance.
GPUX AI
Serverless GPU infrastructure platform for AI model inference and training.
Reviews for ClearML
Based on 0 reviews
Rating Distribution
No Reviews Yet
Be the first to share your experience with ClearML!
Frequently Asked Questions
What is ClearML?
ClearML is an AI infrastructure platform built around three connected layers: an infrastructure control plane that manages GPU clusters across on-premises, cloud, and hybrid environments; an AI Development Center for coding, training, and testing models; and a GenAI App Engine for deploying large language model applications. The platform is silicon, cloud, and vendor agnostic, and includes features like priority-based job scheduling, dynamic fractional GPU allocation, usage-based billing, and granular role-based access control.
How much does ClearML cost?
ClearML has a free plan; paid plans start at $15.
Is ClearML free?
Yes, ClearML offers a free plan you can start with.
What are the best ClearML alternatives?
Popular ClearML alternatives include Weights & Biases, MLflow, Comet ML.
What is ClearML used for?
ClearML is commonly used for Managing GPU clusters across on-premises, cloud, and hybrid environments, Tracking and reproducing machine learning experiments, Deploying LLM and generative AI applications.
Does ClearML have an API?
Yes, ClearML offers an API for developers.
What platforms does ClearML support?
ClearML is available on Web.
Information Accuracy
Please note: While we regularly update all tool information including descriptions, features, pricing, and other details, this information may change over time as tools evolve and update their offerings. For the most current and accurate information, we recommend visiting the official website directly. Our goal is to provide you with comprehensive and up-to-date information to help you make informed decisions.