cuda
driver_error
ai_generated
true
RuntimeError: The NVIDIA driver on your system is too old
ID: cuda/cuda-driver-insufficient
90%Fix Rate
90%Confidence
50Evidence
2023-01-01First Seen
Version Compatibility
| Version | Status | Introduced | Deprecated | Notes |
|---|---|---|---|---|
| 12 | active | — | — | — |
Root Cause
Installed CUDA toolkit requires a newer GPU driver. Driver must meet minimum version for CUDA.
genericWorkarounds
-
95% success Update GPU driver: apt install nvidia-driver-545 or download from nvidia.com
ubuntu-drivers autoinstall # or: apt install nvidia-driver-545
Sources: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#id5
-
90% success Check the CUDA/driver compatibility matrix to find minimum driver version
Check the CUDA/driver compatibility matrix to find minimum driver version
Sources: https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html#id5
Dead Ends
Common approaches that don't work:
-
Reinstall CUDA toolkit
80% fail
CUDA toolkit is fine — the GPU driver needs updating
-
Downgrade PyTorch to match old driver
55% fail
Old PyTorch misses important features and bug fixes
Error Chain
Frequently confused with: