Server restart when using Docker on a GPU server is caused by the following reasons: CUDA version conflict driver issue Memory allocation error Solution: Make sure CUDA version matches Update driver limits GPU memory allocation
Reasons for Docker's use of GPU servers to cause restart
When running applications on a GPU server using Docker, you may experience server restart issues. This is usually caused by:
CUDA version conflict
- The CUDA version in the Docker container is incompatible with the CUDA version on the host. This may cause an error during container startup and cause the server to restart.
Driver issues
- Older or corrupt drivers may cause communication problems between the GPU and the Docker container. This may cause the Docker container to shut down unexpectedly, triggering a server restart.
Memory allocation error
- Memory allocation errors may occur when the Docker container requests GPU memory exceeds the available memory on the server. This will cause the container to fail to start and cause the server to restart.
Solution
To resolve these issues, you need to check and resolve the following:
1. Check the CUDA version
- Make sure that the CUDA version used in the Docker container is exactly the same as the CUDA version on the host.
2. Update the driver
- Install the latest GPU drivers on the server and make sure they are compatible with Docker versions.
3. Limit GPU memory allocation
- Use the
--gpusflag when starting a Docker container to limit the GPU memory available to the container. Make sure that the value does not exceed the amount of memory available on the server.
Other suggestions
- Use the latest versions of Docker and Docker Compose.
- Reinstall Docker on a clean server.
- Disable system daemons, such as firewalls and antivirus software, to troubleshoot interference.
- Enable Docker logging and debug output to help identify errors.
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