Unable to Utilize GPU (CUDA) for Machine Learning in Docker
Environment:
- OS: Windows 10 Pro
- Docker:
- Desktop Engine: 28.0.1 (with WSL2 Ubuntu 22.04 backend)
- Compose: v2.33.1-desktop.1
- GPU: NVIDIA GeForce RTX 2070
- Driver Version: 572.47
- CUDA Version: 12.8
Steps Taken:
1. Followed the official documentation to update
2. Successfully tested GPU integration using the sample compose file from Docker's GPU support guide. The container correctly displayed GPU info (Driver Version, CUDA version, and GPU name).
- Note: Observed a minor discrepancy in
- Native Windows:
- Docker container:
3. Attempted to restart Immich with the updated compose configuration (details in the following conversation).
Issue:
The
Question:
I'm unsure how to proceed further. Any guidance on resolving this GPU utilization issue would be greatly appreciated.
- OS: Windows 10 Pro
- Docker:
- Desktop Engine: 28.0.1 (with WSL2 Ubuntu 22.04 backend)
- Compose: v2.33.1-desktop.1
- GPU: NVIDIA GeForce RTX 2070
- Driver Version: 572.47
- CUDA Version: 12.8
Steps Taken:
1. Followed the official documentation to update
compose.yml2. Successfully tested GPU integration using the sample compose file from Docker's GPU support guide. The container correctly displayed GPU info (Driver Version, CUDA version, and GPU name).
- Note: Observed a minor discrepancy in
NVIDIA-SMI- Native Windows:
572.47- Docker container:
570.86.173. Attempted to restart Immich with the updated compose configuration (details in the following conversation).
Issue:
The
immich/immich_machine_learningQuestion:
I'm unsure how to proceed further. Any guidance on resolving this GPU utilization issue would be greatly appreciated.
