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ClearML is a full-stack, open source AI platform designed to streamline everything from infrastructure management to GenAI
deployment.
Platform Capabilities
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Infrastructure Control Plane β Seamlessly manage and provision GPU resources across cloud, on-prem, and hybrid setups
with multi-tenancy, billing, quotas, and secure isolation
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AI Development Center β An AI builder`s IDE with one-click access to tools for data integration, monitoring,
model tracking, CI/CD, and experiment automation
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GenAI App Engine β Rapidly deploy LLMs and GenAI workloads with built-in access control, vector database support, and
feedback loops for continuous improvement
Core Repositories
- clearml β Python SDK and CLI for ML tracking, data management, and workflow automation
- clearml-server β Backend services and APIs
- clearml-agent β Workload execution agent for orchestration and automation
- clearml-web β Web-based GUI for the ClearML server
- clearml-session - CLI for launching JupyterLab / VSCode / SSH workloads on Cloud/On-Prem remote machines
- clearml-serving β Framework for model deployment and orchestration
- clearml-docs β Source for ClearMLβs official documentation
Contributing
PRs are always welcome β€οΈ. See more details in the ClearML Guidelines for Contributing.
Want to Learn More?
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ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Python
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ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Python
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ClearML Agent - ML-Ops made easy. ML-Ops scheduler & orchestration solution
Python
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Repositories
Showing 10 of 32 repositories
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clearml
Public
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
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clearml-web
Public
ClearML - Web Application - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management
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Apache-2.0
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clearml-server
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ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
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Java
36
Apache-2.0
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2
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Shell
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Apache-2.0
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clearml-fractional-gpu
Public
ClearML Fractional GPU - Run multiple containers on the same GPU with driver level memory limitation β¨ and compute time-slicing
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clearml-session
Public
ClearML Remote - CLI for launching JupyterLab / VSCode on a remote machine
Python
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Apache-2.0
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14
4
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clearml-helm-charts
Public
Helm chart repository for the new unified way to deploy ClearML on Kubernetes. ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
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clearml-serving
Public
ClearML - Model-Serving Orchestration and Repository Solution
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