Updating CUDA filter recommendation

Author: justinwlin

.gitignore

@@ -29,4 +29,5 @@ helpers/__pycache__/** */
 # Webstorm
 .idea/*
 
-CLAUDE.md
+CLAUDE.md
+/.mintlify-last

pods/manage-pods.mdx

@@ -31,6 +31,24 @@ GPU configuration:
 4. Specify your **GPU count** if you need multiple GPUs.
 5. Click **Deploy On-Demand** to deploy and start your Pod.
 
+<Warning>
+**CUDA Version Compatibility**
+
+When using templates (especially community templates like `runpod/pytorch:2.8.0-py3.11-cuda12.8.1-cudnn-devel-ubuntu22.04`), ensure the host machine's CUDA driver version matches or exceeds the template's requirements.
+
+If you encounter errors like "OCI runtime create failed" or "unsatisfied condition: cuda>=X.X", you need to filter for compatible machines:
+
+1. Click **Additional filters** in the Pod creation interface
+2. Click **CUDA Versions** filter dropdown
+3. Select a CUDA version that matches or exceeds your template's requirements (e.g., if the template requires CUDA 12.8, select 12.8 or higher)
+
+<Frame>
+  <img src="/images/additional-filter-cuda-version.png" />
+</Frame>
+
+**Note:** Check the template name or documentation for CUDA requirements. When in doubt, select the latest CUDA version as newer drivers are backward compatible.
+</Warning>
+
 CPU configuration:
 
 1. Select a **CPU type** (e.g., CPU3/CPU5, Compute Optimized, General Purpose, Memory-Optimized).