Skip to main content

Troubleshooting

Find your problem below and jump to the solution.


Quick Symptom Index

Container Problems

SymptomGo to
Container won't startcontainer-issues.md#wont-start
Container stopped unexpectedlycontainer-issues.md#stopped-unexpectedly
Can't find my containercontainer-issues.md#not-found
Container is slowcontainer-issues.md#performance

GPU Problems

SymptomGo to
"No GPUs available"gpu-issues.md#no-gpus
"CUDA out of memory"gpu-issues.md#cuda-oom
nvidia-smi not foundgpu-issues.md#nvidia-smi-not-found
GPU not detected in PyTorch/TensorFlowgpu-issues.md#framework-detection

Image Problems

SymptomGo to
Image build failsimage-issues.md#build-fails
Package not foundimage-issues.md#package-not-found
Image too largeimage-issues.md#image-size

File & Permission Problems

SymptomGo to
Can't find my filescommon-errors.md#files-missing
Permission deniedcommon-errors.md#permission-denied
Out of disk spacecommon-errors.md#disk-space

Network & Access Problems

SymptomGo to
Can't access Jupytercommon-errors.md#jupyter-access
Commands not foundcommon-errors.md#commands-not-found
Docker permission deniedcommon-errors.md#docker-permission

General Recovery Steps

If you're stuck, try these in order:

Replace <project-name> with your actual project name.

# 1. Check what's running
container-list

# 2. Check container logs
docker logs <project-name>._.$(whoami)

# 3. Check system status
ds01-health-check

# 4. Recreate container
container-retire <project-name>
container-deploy <project-name>

Your workspace files are always safe - recreating a container won't lose data.


Still Stuck?

Raise an issue ticket in ds01-hub repo