mirror of
https://github.com/clearml/clearml-docs
synced 2025-01-31 14:37:18 +00:00
27 lines
1.5 KiB
Markdown
27 lines
1.5 KiB
Markdown
|
---
|
||
|
|
title: Overview
|
||
|
|
---
|
||
|
|
|
||
|
|
Machine Learning and Deep Learning development is sometimes more challenging than traditional software development. If
|
||
|
|
you are working on an average laptop or computer, and you have a sizeable dataset that requires significant computation,
|
||
|
|
your local machine may not be able to provide you with the resources for an effective workflow.
|
||
|
|
|
||
|
|
If you can run and debug your code on your own machine, congrats you are lucky! Continue doing that, then clone your code
|
||
|
|
in the UI and send it for long-term training on a remote machine.
|
||
|
|
|
||
|
|
**If you are not that lucky**, this section is for you :)
|
||
|
|
|
||
|
|
ClearML provides tools that allow you to launch remote sessions and to execute code on a remote machine that better
|
||
|
|
meets resource needs:
|
||
|
|
* [Clearml Session CLI](apps/clearml_session.md) - Launch a JupyterLab and VS Code session on a remote machine
|
||
|
|
* GUI Applications (available under ClearML Enterprise Plan) - These apps provide local links to access JupyterLab or
|
||
|
|
VS Code on a remote machine over a secure and encrypted SSH connection, letting you use the IDE as if you're running
|
||
|
|
on the target machine itself.
|
||
|
|
* [JupyterLab](webapp/applications/apps_jupyter_lab.md) - Launch a JupyterLab session on a remote machine
|
||
|
|
* [VS Code](webapp/applications/apps_vscode.md) - Launch a VS Code session on a remote machine
|
||
|
|
|
||
|
|
:::info Remote PyCharm
|
||
|
|
You can also work with PyCharm in a remote session over SSH. Use the [PyCharm Plugin](guides/ide/integration_pycharm.md)
|
||
|
|
to automatically sync local configurations with a remote session.
|
||
|
|
:::
|