--- id: main title: What is ClearML? slug: / --- ClearML is an open-source, end-to-end AI Platform designed to streamline AI adoption and the entire development lifecycle. It supports every phase of AI development, from research to production, allowing users to leverage any model, dataset, or architecture at scale. ClearML integrates seamlessly with existing tools, frameworks, and infrastructures, offering unmatched flexibility and control for AI builders and DevOps teams building, training, and deploying models at every scale on any AI infrastructure. ## Getting Started

### Friendly Tutorials to Get You Started
Step 1 - Experiment Management Open In Colab
Step 2 - Remote Execution Agent Setup Open In Colab
Step 3 - Remotely Execute Tasks Open In Colab
### Read a Little More
![Architecture diagram](../img/clearml_architecture.png)
Want a more in depth introduction to ClearML? Choose where you want to get started:
  1. Data scientist logo

    Data Scientists

    Learn how to use ClearML's experiment tracking and management tools, and more!

    START HERE
  2. MLOps engineer logo

    MLOps and LLMOps Engineers

    Learn how to use ClearML's automation, orchestration, and tracking tools

    START HERE
  3. DevOps Engineer logo

    DevOps Engineers

    Learn how to deploy and configure a ClearML Server

    START HERE
## What Can You Do with ClearML? - [Track and upload](../fundamentals/task.md) metrics and models with only 2 lines of code - [Reproduce](../webapp/webapp_exp_reproducing.md) experiments with 3 mouse clicks - [Create bots](../guides/services/slack_alerts.md) that send you Slack messages based on experiment behavior (for example, alert you whenever your model improves in accuracy) - Manage your [data](../clearml_data/clearml_data.md) - store, track, and version control - Remotely execute experiments on any compute resource you have available with [ClearML Agent](../clearml_agent.md) - Automatically scale cloud instances according to your resource needs with ClearML's [AWS Autoscaler](../webapp/applications/apps_aws_autoscaler.md) and [GCP Autoscaler](../webapp/applications/apps_gcp_autoscaler.md) GUI applications - Run [hyperparameter optimization](../fundamentals/hpo.md) - Build [pipelines](../pipelines/pipelines.md) from code - Much more! ![Webapp gif](../img/gif/webapp_screenshots.gif) ## Who We Are ClearML is supported by you :heart: and the [clear.ml](https://clear.ml) team, which helps enterprise companies build scalable MLOps/LLMOps. Join the ClearML community! Your contributions, questions, and input are always welcome. For more information, see [Community Resources](../community.md).