# Large file Youtube Upload

**URL:** <https://community.n8n.io/t/large-file-youtube-upload/65854>\
**Category:** Questions\
**Created:** [December 17, 2024, 6:22pm UTC](https://community.n8n.io/t/large-file-youtube-upload/65854 "2024-12-17T18:22:02Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![Nskha](https://dub1.discourse-cdn.com/n8n/user_avatar/community.n8n.io/nskha/32/34901_2.png) [@Nskha](https://community.n8n.io/u/Nskha)\
**Post date:** [December 17, 2024, 9:41pm UTC](https://community.n8n.io/t/large-file-youtube-upload/65854/2 "2024-12-17T21:41:12Z")

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> [@How to handle large data/files in n8n?](http://community.n8n.io/t/how-to-handle-large-data-files-in-n8n/12153/5):
>
> Welcome to the community @Martin_Neumann! As n8n keeps always all the data of the workflow in memory will the SplitInBatches Node alone not have a positive impact on memory use. It is really required to split it up into different workflows for it to work. If you work with large binary data, you can also try setting the environment variable N8N\_DEFAULT\_BINARY\_DATA\_MODE=filesystem. It will then save the binary data on disk rather than memory and DB and will so require much less RAM.

or

> **[ChatGPT - Large File Upload Workaround](https://chatgpt.com/share/6761efe5-ecc4-800c-94e0-e89a1329b42f)**
>
> Shared via ChatGPT

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