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32 lines
2.1 KiB
Markdown
32 lines
2.1 KiB
Markdown
---
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title: Remote IDE
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---
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Machine Learning and Deep Learning development is sometimes more challenging than traditional software development. If
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you are working on an average laptop or computer, and you have a sizeable dataset that requires significant computation,
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your local machine may not be able to provide you with the resources for an effective workflow.
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If you can run and debug your code on your own machine, congrats you are lucky! Continue doing that, then clone your code
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in the UI and send it for long-term training on a remote machine.
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**If you are not that lucky**, this section is for you :)
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ClearML provides tools that allow you to launch remote sessions and to execute code on a remote machine that better
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meets resource needs:
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* [Clearml Session CLI](apps/clearml_session.md) - Launch an interactive JupyterLab, VS Code, and SSH session on a remote machine:
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* Automatically store and sync your [interactive session workspace](apps/clearml_session.md#storing-and-synchronizing-workspace)
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* Replicate a previously executed experiment's execution environment and [interactively execute and debug](apps/clearml_session.md#starting-a-debugging-session) it on a remote session
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* Develop directly inside your Kubernetes pods ([see ClearML Agent](clearml_agent/clearml_agent_deployment.md#kubernetes))
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* And more!
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* GUI Applications (available under ClearML Enterprise Plan) - These apps provide access to remote machines over a
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secure and encrypted SSH connection, allowing you to work in a remote environment using your preferred development
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tools.
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* [SSH Session](webapp/applications/apps_ssh_session.md) - Launch a full development environment with a detached interactive SSH session on a remote machine
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* [JupyterLab](webapp/applications/apps_jupyter_lab.md) - Launch a JupyterLab session on a remote machine
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* [VS Code](webapp/applications/apps_vscode.md) - Launch a VS Code session on a remote machine
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:::info Remote PyCharm
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You can also work with PyCharm in a remote session over SSH. Use the [PyCharm Plugin](guides/ide/integration_pycharm.md)
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to automatically sync local configurations with a remote session.
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:::
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