ClearML

Flexible Deployment

Deploy ClearML-server on any infrastructure and attach compute nodes (CPU/GPU) from multiple infrastructures: bare metal, Kubernetes, and leading cloud vendors. This flexibility allows organizations to optimize their resource usage and adapt to changing needs.

Multi-cluster Support

Support for managing multiple clusters, allowing organizations to efficiently utilize resources across different environments. This feature enhances scalability and resource allocation for large-scale AI projects.

Job Scheduling

Schedule jobs with priority queues and resources, fully integrated with the Web UI. This feature ensures that critical tasks are executed efficiently and on time, optimizing resource utilization.

Dynamic Job Scheduling

Dynamic bare-metal job scheduling including dynamic GPU allocation and opportunistic allocation. This feature allows for real-time adjustments to resource allocation based on current workload demands.

Granular Usage Reporting per User

Provides detailed usage reports for each user, enabling organizations to track resource consumption and optimize costs. This feature is essential for managing budgets and ensuring accountability.

Integrated Development Environment (IDE)

The AI Development Center provides a powerful workbench for coding, testing, and deploying AI/ML models. This integrated environment streamlines the development process, making it easier for teams to collaborate and innovate.

Data Integration Tools

Built-in tools for data integration allow users to easily connect and manage datasets within the AI Development Center. This feature enhances the efficiency of data handling and model training.

Monitoring and Automation

Tools for monitoring and automating workflows within the AI Development Center help teams maintain oversight of their projects and streamline repetitive tasks. This feature increases productivity and reduces manual errors.

Dashboards

Custom dashboards allow users to monitor progress, summarize metrics over time, and review failed experiments. This feature provides valuable insights into project performance and helps teams make informed decisions.

CI/CD Integration

Integrate continuous integration and continuous deployment (CI/CD) actions with an easy-to-use REST API and Python interface. This feature supports continuous training actions based on model performance, enhancing the development lifecycle.

Model Repository

Automatically log and upload any model into a unified searchable model repository that is ready for production. This feature simplifies model management and ensures that teams can easily access and deploy their models.

Model Management

Add searchable metadata on any model version to create a searchable hierarchy of managed models. This feature enhances organization and retrieval of models, making it easier for teams to find and use the right versions.

Automatic DL/ML Framework Integration

Automatic integration with leading deep learning and machine learning frameworks allows for seamless upload and download of model files. This feature reduces the complexity of managing different frameworks and enhances interoperability.

Trigger Action

Trigger external actions based on model repository changes, such as publishing or tagging models. This feature automates workflows and ensures that teams can respond quickly to changes in their model repository.

Serving

Spin and manage model serving engines with automatic integration to the ClearML model repository. This feature simplifies the deployment of models into production environments, ensuring that they are readily available for use.

Role-based Access Control

Role-based permission access control for data, models, and compute resources ensures that only authorized users can access sensitive information. This feature enhances security and compliance within the organization.

Single Sign On

Support for Single Sign On (SSO) with providers like Google, GitHub, and Okta simplifies user authentication and enhances security. This feature streamlines the login process for users while maintaining robust security measures.

LDAP Integration

Integration with LDAP allows organizations to manage user access and permissions centrally. This feature enhances security and simplifies user management across the platform.