INC-003INCIDENT ACTIVE
CUDA Version Mismatch
A container that worked yesterday now fails with a CUDA driver/runtime version error after a host update.
ENVIRONMENTLinux / CUDA / Containers
DIFFICULTYIntermediate
STATUSIncident Active
INCIDENT IDINC-003
SYMPTOMS
$ python train.py
RuntimeError: CUDA error: no kernel image is available
for execution on the deviceMission
Restore a working driver/runtime/container alignment across the node.
Skills tested
- · CUDA compatibility matrix
- · Driver diagnostics
- · Container image inspection
POSSIBLE CAUSES
One or more of these is the real cause. The lab does not tell you which.
- Host driver upgraded without matching CUDA toolkit in the image
- Container image pinned to an incompatible CUDA version
- Multiple CUDA runtimes installed on the host
METHOD
01
Observe
Capture the exact driver and CUDA runtime versions in play.
02
Hypothesize
Suspect a version skew introduced by a recent change.
03
Diagnose
Compare host driver version against the container's CUDA toolkit requirement.
04
Fix
Realign versions — at the host, the image, or both.
05
Verify
Re-run the workload and confirm GPU kernels execute cleanly.
Get the workload running. Then explain why it broke.
Live lab access is provisioned as part of AI Infrastructure Troubleshooting and Production AI Infrastructure.