I have searched the existing issues and discussions.
I am using the latest version of Open WebUI.
Installation Method
Git Clone
Open WebUI Version
0.6.5
Ollama Version (if applicable)
0.6.6
Operating System
Windows
Browser (if applicable)
No response
Confirmation
I have read and followed all instructions in README.md.
I am using the latest version of both Open WebUI and Ollama.
I have included the browser console logs.
I have included the Docker container logs.
I have listed steps to reproduce the bug in detail.
Expected Behavior
I am using Dockers, with GPU: docker run -d -p 3000:8080 --gpus all --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:cuda
I get an error message in the Docker console that cudaBlast is not available. From my limited knowlegde it believe the 5090 needs the latest and nighlty version of PyTorch in order to function.
Actual Behavior
CuBlast Error message with Whisper models.
Steps to Reproduce
Requires a 5090 gpu. Just run the docker command with GPU functionality.
Logs & Screenshots
NA
Additional Information
From my limited knowlegde it believe the 5090 needs the latest and nighlty version of PyTorch in order to function.
Originally created by @LazyDataScientistGit on GitHub (Apr 24, 2025).
Original GitHub issue: https://github.com/open-webui/open-webui/issues/13202
### Check Existing Issues
- [x] I have searched the existing issues and discussions.
- [x] I am using the latest version of Open WebUI.
### Installation Method
Git Clone
### Open WebUI Version
0.6.5
### Ollama Version (if applicable)
0.6.6
### Operating System
Windows
### Browser (if applicable)
_No response_
### Confirmation
- [x] I have read and followed all instructions in `README.md`.
- [x] I am using the latest version of **both** Open WebUI and Ollama.
- [x] I have included the browser console logs.
- [x] I have included the Docker container logs.
- [x] I have listed steps to reproduce the bug in detail.
### Expected Behavior
I am using Dockers, with GPU:
`docker run -d -p 3000:8080 --gpus all --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:cuda`
I get an error message in the Docker console that cudaBlast is not available. From my limited knowlegde it believe the 5090 needs the latest and nighlty version of PyTorch in order to function.
### Actual Behavior
CuBlast Error message with Whisper models.
### Steps to Reproduce
Requires a 5090 gpu. Just run the docker command with GPU functionality.
### Logs & Screenshots
NA
### Additional Information
From my limited knowlegde it believe the 5090 needs the latest and nighlty version of PyTorch in order to function.
GiteaMirror
added the bug label 2026-04-25 06:16:43 -05:00
<!-- gh-comment-id:2835257409 -->
@tjbck commented on GitHub (Apr 28, 2025):
Using docker absolutely does matter, should be addressed in dev.
Related: #13187
Blocking a user prevents them from interacting with repositories, such as opening or commenting on pull requests or issues. Learn more about blocking a user.
Originally created by @LazyDataScientistGit on GitHub (Apr 24, 2025).
Original GitHub issue: https://github.com/open-webui/open-webui/issues/13202
Check Existing Issues
Installation Method
Git Clone
Open WebUI Version
0.6.5
Ollama Version (if applicable)
0.6.6
Operating System
Windows
Browser (if applicable)
No response
Confirmation
README.md.Expected Behavior
I am using Dockers, with GPU:
docker run -d -p 3000:8080 --gpus all --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:cudaI get an error message in the Docker console that cudaBlast is not available. From my limited knowlegde it believe the 5090 needs the latest and nighlty version of PyTorch in order to function.
Actual Behavior
CuBlast Error message with Whisper models.
Steps to Reproduce
Requires a 5090 gpu. Just run the docker command with GPU functionality.
Logs & Screenshots
NA
Additional Information
From my limited knowlegde it believe the 5090 needs the latest and nighlty version of PyTorch in order to function.
@Umutayb commented on GitHub (Apr 27, 2025):
It works on my 5090, perhaps you have to install coda 12.8
@LazyDataScientistGit commented on GitHub (Apr 27, 2025):
I am using dockers so it should not matter.
@tjbck commented on GitHub (Apr 28, 2025):
Using docker absolutely does matter, should be addressed in dev.
Related: #13187