Pricing
Find the Right Plan to Power Every Phase of Your AI Production
The ClearML AI Platform is available on our hosted servers, self-hosted, or as a managed service – VPC, on-prem (including air-gapped), or hybrid. Find the plan best suited for your use case.
Use the AI Development Center on ClearML’s Hosted Servers
Need Private Servers?
For larger teams with security and compliance needs, see our Scale and Enterprise options.
Community
For teams up to 3
Best for individuals, researchers, academia, and small teams working on projects
$0 No credit card required
Features include:
- Dataset Versioning
- Model Training
- Experiment Management
- Model Repository
- Artifacts
- Pipelines
- Agent Orchestration
- CI/CD Automation
- Reports
Included:
- 100GB Free Artifact Storage
- 1GB Metric Events
- 1M API Calls/Month
Pro
For teams up to 10
Best for growing AI teams that require enhanced features and more automation
$15 Per User/Month + Usage
Free Community Features +:
- Cloud Auto Scaling (AWS, GCP, Azure)
- Hyperparameter Optimization
- Pipeline Triggers and Automations
- Dashboards
- Unlimited, Pay-As-You-go Usage (Storage and Activity)
Free Community +20% Included:
- 120GB Free Artifact Storage
- 1.2GB Metric Events
- 1.2M API Calls/Month
Additional Usage:
- $0.1 / 1GB Artifact Storage
- $0.01/1MB Metric Events
- $1/100K API Calls
- $0.04/hr per Application
Use ClearML’s Enterprise-grade AI Platform for VPC, On-prem (including Air-gapped), or Hybrid
Scale
For organizations with 8-48 GPUs
Pay for What You Use | *VPC only
AI Development Center (Pro Features +):
- Hyper-Datasets
- Fine-tuning
- IDE Launcher
- Vector Database integration
- Kubernetes Integration
- Task Scheduling and Triggering
- Alerts
- SSO integration
- Private Slack Channel Support
- SLA
Infrastructure Control Plane (Scale Features):
- Hardware- and Cloud-agnostic Orchestration
- Job Scheduling
- Multi-cluster Support
- Fractional GPUs
Enterprise
For organizations with multiple large projects
For VPC or On-prem Cluster
AI Development Center (Scale Features +):
- ClearML Custom Apps
- Configuration Vault
- Slurm/PBS integration
- LDAP Integration
- Role-based Access Control
- White-glove Support with Custom SLA
- Professional Services
Infrastructure Control Plane (Scale Features +):
- Advanced Scheduling and Quota Management
- Dynamic Fractional GPUs
- Resource Allocation Policy Management
- On-premise, Air-gapped, Multi-cloud, or Hybrid setups
You can also run self-hosted ClearML
100% Open Source on GitHub
Which AI Development Center Plan Should I Choose?
Task Management / Model Development
| Features | Open Source | Free / Pro | Scale / Enterprise |
|---|---|---|---|
|
2-line Integration Convert any code/repo into fully orchestrated DevOps solution with only 2 lines of Python |
Y | Y | Y |
| Project Dashboard | Y | Y | Y |
| Experiment Tracking | Y | Y | Y |
| Comparisons (Experiments, Datasets, and Models) | Y | Y | Y |
| Artifacts | Y | Y | Y |
|
Search Capabilities Including programmatic interface |
Y | Y | Y |
|
Data Samples Store any media / file for better visibility and debugging capabilities |
Y | Y | Y |
| Metrics and Plots (2D/3D/Custom) | Y | Y | Y |
|
Git Version Control Integration Includes storing any uncommitted changes |
Y | Y | Y |
|
Package Tracking Automatically track any Python packages used, including specific version |
Y | Y | Y |
|
Log Command Line & Console Track and log command line arguments and console output |
Y | Y | Y |
|
Configuration Files Automatically connect with configuration packages (Hydra) or any custom configuration file |
Y | Y | Y |
|
Share Direct Links Easily collaborate with colleagues; share address url to reproduce the exact UI view on any machine |
Y | Y | Y |
|
Projects & Sub-Projects Hierarchically organize experiments, datasets, and models to best suit your workflows |
Y | Y | Y |
|
Reports Create and share reports within the platform and embed real-time graphs into third-party editors |
Y | Y | Y |
| LLM Model Fine-tuning</strong | BYO | BYO | Y |
| Embedding Model and Vector Database Support | BYO | BYO | Y |
Task Orchestration
| Features | Open Source | Free / Pro | Scale / Enterprise |
|---|---|---|---|
|
Agent Orchestration Spin experiments in development & production within any container with minimum effort using bare-metal or Kubernetes |
Y | Y | Y |
| Workers | Y | Y | Y |
|
Job Scheduling Schedule jobs with priority queues and resources. Full integration with Web UI |
Y | Y | Y |
|
Dynamic Resource Allocation Dynamic bare-metal job scheduling including dynamic GPU allocation and opportunistic allocation |
N | N | Y |
|
Pipelines Programmatic pipelines grant easy integration and debugging with full customization support |
Y | Y | Y |
|
CI / CD automation Integrate CI/CD actions with an easy-to-use Rest API and Python interface, while also supporting continuous training actions based on model performance |
Y | Y | Y |
| Rest API | Y | Y | Y |
Dataset Management
| Features | Open Source | Free / Pro | Scale / Enterprise |
|---|---|---|---|
|
Dataset Management Add meta-data (tags, names, descriptions, projects) to any dataset and version to create hierarchical managed data |
Y | Y | Y |
|
Dataset Versioning Fully differentiable data store with transparent version control on top of any storage |
Y | Y | Y |
|
Dataset Searchability Search datasets / versions based on names / comments / tags, etc. |
Y | Y | Y |
|
Programmatic Data Previews Add sample data representation viewable in the Web UI for increased data visibility |
Y | Y | Y |
| Metadata Versioning | Y | Y | Y |
| Immutable Versions | Y | Y | Y |
| Dataset Version Graph | Y | Y | Y |
|
Multiple Version Inheritance Combine dataset version from multiple parents |
Y | Y | Y |
|
Differential Storage Versions only store the change set from parent versions |
Y | Y | Y |
|
Flexible Storage Store your datasets on any storage service and connect to ClearML – HTTP/S3/GCS/Azure/NAS |
Y | Y | Y |
| Local Cache Support | Y | Y | Y |
Hyper-Datasets
| Features | Open Source | Free / Pro | Scale / Enterprise |
|---|---|---|---|
|
Hyper-Datasets Management Data access abstraction layer fully separating code from data, along with DB query capabilities and built-in version control |
N | N | Y |
|
File Level Queryable MetaData DB query capabilities on any file level metadata |
N | N | Y |
|
Data / Meta Visualization Full data preview inside the UI, including metadata |
N | N | Y |
|
Image/Video/Time-series/Text Annotations Visualization Review visual annotation on top of images/videos |
N | N | Y |
|
File Level Metadata & Annotation Web UI Edit Modify, fix, and add file-level annotation |
N | N | Y |
| Combine Queries From Multiple Dataset Versions | N | N | Y |
|
Online Dataset Rebalancing Oversample data based on any query, rebalancing dataset in real-time based on metadata |
N | N | Y |
|
Individual File Links Link pre-uploaded files; supports S3/GCS/Azure/NAS/HTTP |
N | N | Y |
|
Stored Queries (DataView) Store dataset query as individual, reusable objects |
N | N | Y |
|
Experiment Management Integration Automatically log and modify dataset on an experiment level |
N | N | Y |
Deployment
| Features | Open Source | Free / Pro | Scale / Enterprise | |
|---|---|---|---|---|
|
Model Repository Automatically log and upload any model into a unified searchable model repository that is ready for production |
Y | Y | Y | |
|
Query Capabilities Search and filter models based on projects/names/tags/metadata |
Y | Y | Y | |
|
Model Management: State/Tag/Project/Name/Description Add searchable metadata on any model version (tag/name/etc.) to create searchable hierarchy managed models |
Y | Y | Y | |
|
Automatic DL/ML Framework Integration Automatic integration with leading DL/ML frameworks (upload/download model files) |
Y | Y | Y | |
| Model Metadata Key-val/Comments | Y | Y | Y | |
|
Model Genealogy Connect the creating process with the model. Log previous iteration of a model (coming soon) |
Y | Y | Y | |
|
Trigger Action Trigger external action based on model repository changes (publish/tag/ etc.) |
Basic | Basic | Y | |
|
Serving Spin and manage model serving engines with automatic integration to the ClearML model repository (beta) |
Y | Y | Y | |
| Model Endpoint Monitoring | Metrics only | N | Y |
ClearML Apps
| Features | Open Source | Free / Pro | Scale / Enterprise |
|---|---|---|---|
|
Hyperparameter Optimization State-of-the-art bayesian optimization algorithms help find the best hyperparameter combination running on multiple machines with an easy-to-use web UI |
Without UI | Pro only | Y |
|
Task Scheduling Schedule any Pythonic code to be repeated in predefined intervals. Set base container and required packages and have full monitoring & resource control directly from the web UI |
Without UI | Pro only | Y |
|
Pipeline Triggers Triggered automation pipelines (or any Pythonic code) based on changes in the system, new dataset created, model published, task reporting specific metrics, etc. Think Git actions tailored towards ML/DL workflows |
Without UI | Pro only | Y |
|
Project Dashboard Create custom dashboards for your project, monitor progress, summarize metrics over time, review failed experiments, and create alerts directly connected with your internal Slack channels |
Without UI | Pro only | Y |
|
Task Monitoring Shutdown active experiments or tasks based on resource monitoring metrics or performance metrics with full integration with Slack for shutdown alerts (beta) |
N | Pro only | Y |
|
ClearML Deploy Model deployment architecture leveraging SOTA model serving engine, allowing for customized endpoints, node autoscaling, and full monitoring (beta) |
Without UI | Coming soon | Y |
|
ClearML Remote Development Allocate remote machines (GPU/CPU) for development with a single CLI command, supporting both bare metal and Kubernetes |
N | Pro only | Y |
|
ClearML Custom Application Build your own application on top of ClearML. Create easy-to-utilize data science workflows, expanding BU’s ability to use your custom models and pipelines. Fully customizable launch wizard with programmatic interface and custom real-time dashboard. |
N | N | Y |
Support
| Features | Open Source | Free / Pro | Scale / Enterprise |
|---|---|---|---|
|
Dedicated Support Customization, DevOps, MLOps, and data science support |
N | N |
Scale - Dedicated Slack Channel Enterprise - White Glove |
| SLA | N | N |
Scale - Standard SLA Enterprise - Custom SLA |
Enterprise-grade Security
| Features | Open Source | Free / Pro | Scale / Enterprise |
|---|---|---|---|
| Secure Log-in to ClearML Platform | BYO | Y | Y |
|
Role-based Access Control Role-based permission access control for data, models, and compute resources |
N | N | Enterprise only |
|
Single Sign On Google/GitHub/BitBucket/Okta/Auth0, etc. |
N | N | Y |
| LDAP Integration | N | N | Enterprise only |
Which Infrastructure Control Plane Features Do I Get?
Hardware / Cloud-agnostic Orchestration
| Features | Open Source | Free / Pro | Scale / Enterprise |
|---|---|---|---|
|
Flexible Deployment Deploy ClearML-server on any infrastructure and attach compute nodes (CPU/GPU) from multiple infrastructures: bare metal, Kubernetes, and leading cloud vendors. |
BYO | SaaS |
Scale - VPC - Single Server Enterprise - VPC / On-prem cluster |
|
Kubernetes Integration Integrate resource scheduling into your existing Kubernetes cluster(s). Support combination with additional resources (bare metal/cloud) |
Basic | N | Y |
| Multi-cluster Support | N | N | Enterprise only |
| Orchestration Dashboard | N | Y | Y |
| Model Endpoint Monitoring | N | N | Enterprise only |
|
Job Scheduling Schedule jobs with priority queues and resources. Full integration with Web UI |
Y | Y | Y |
|
Dynamic Job Scheduling Dynamic bare-metal job scheduling including dynamic GPU allocation and opportunistic allocation |
N | N | Y |
| Granular Usage Reporting per User | N | N | Enterprise only |
| Secure Multi-tenancy Support | N | N | Enterprise only |
| Resource Allocation & Policy Management Center | N | N | Enterprise only |
| Node Pooling | N | N | Enterprise only |
|
Configuration Vault Store configuration vault per user/group/company, supporting environment variables, access keys, storage credentials, etc. |
N | N | Enterprise only |
|
Optimal Container Selection Customize container matching based on required environment, packages, Python, projects, etc. |
N | N | Y |
|
Scheduling Quota & Policy Manager Dynamic graph-based decision tree for job allocation. Per user/group quota. Optimal execution queue matching, base container, projects, groups, etc. Dynamic resource optimization and online job scheduling between different resources (local/cloud/k8s) |
N | N | Enterprise only |
| Fractional GPU | Basic | Basic (open source version) | Dynamic |
| Dynamic Fractional GPU | N | N | Enterprise only |
| Resource Allocation & Policy Management Center | N | N | Enterprise only |
| Slurm Integration | Basic | N | Enterprise only |
| PBS Integration | N | N | Enterprise only |
| IBM LSF Integration | N | N | Enterprise only |
Don’t see the right plan?
Get in touch with our team and we will assist you with building your business's custom ClearML license.