Hi n8n community,
I’m using the Pro plan (10k executions) and sometimes get this error:
Execution stopped at this node
n8n may have run out of memory while running this execution.
Could you clarify:
-
What is the exact RAM and CPU configuration for the Pro plan?
-
Any best practices or recommendations to avoid this error when handling large JSON or image-heavy workflows?
Thanks in advance!
1 Like
Hi @EricK_Daniel_RANDRIA!
This is not a plan configuration issue, it’s about how much data your workflow keeps in memory during execution. Large JSON payloads, image files, or accumulating items across nodes can quickly exceed the container’s memory limits. To avoid this, process data in smaller batches, remove unnecessary fields early in the flow, avoid carrying full payloads between nodes, and store large files externally instead of keeping them in memory. Keeping each execution lightweight is the key to preventing this error.