LocalNodeOps

Troubleshooting Aug 2, 2026 5 min read

Diagnosing CUDA out-of-memory errors

The five most common causes of CUDA OOM during local inference, and how to tell them apart.

Written by LocalNodeOps Editorial

Full article pending. This post has FAQ frontmatter to demonstrate the FAQPage schema injection — remove the faq field on posts that don’t need it.

Frequently asked questions

What's the fastest way to check if it's a CUDA OOM error?

Look for CUDA_ERROR_OUT_OF_MEMORY or 'CUDA out of memory' in the traceback — it's usually explicit rather than a silent failure.

Does lowering context length always fix CUDA OOM?

Often, but not always — check batch size and quantization level first, since either can matter more depending on your setup.