GPU usage with UGREEN DXP2800
Hello,
I’ve been using Immich for about a month. I installed it via Docker, on Portainer, running on my Ugreen DXP2800 NAS.
To start learning and testing, I set it up by linking my existing photo and video folders (around 9TB of data) as external read-only libraries.
On the first installation, after completing the setup, Immich worked hard for about three days. After that, everything was running great, and I’m quite sure it was also making use of the GPU.
Later, when new versions were released, I mistakenly deleted everything and reinstalled from scratch.
Now, with the latest version, Immich has been working non-stop for four days on my NAS, but I’m almost certain it’s no longer using the GPU, even though I configured it the same way as before. ChatGPT also suggested that recent versions of Immich might not support the Intel GPU in my NAS anymore.
Could you please help me understand whether this heavy, seemingly endless processing is really due to the GPU not being supported, or if there might be another issue? What should I check to better diagnose this?
Thank you very much for your support.
7 Replies
:wave: Hey @Teppy_ITA,
Thanks for reaching out to us. Please carefully read this message and follow the recommended actions. This will help us be more effective in our support effort and leave more time for building Immich :immich:.
References
- Container Logs:
docker compose logs docs
- Container Status: docker ps -a docs
- Reverse Proxy: https://immich.app/docs/administration/reverse-proxy
- Code Formatting https://support.discord.com/hc/en-us/articles/210298617-Markdown-Text-101-Chat-Formatting-Bold-Italic-Underline#h_01GY0DAKGXDEHE263BCAYEGFJA
Checklist
I have...
1. :blue_square: verified I'm on the latest release(note that mobile app releases may take some time).
2. :blue_square: read applicable release notes.
3. :blue_square: reviewed the FAQs for known issues.
4. :blue_square: reviewed Github for known issues.
5. :blue_square: tried accessing Immich via local ip (without a custom reverse proxy).
6. :blue_square: uploaded the relevant information (see below).
7. :blue_square: tried an incognito window, disabled extensions, cleared mobile app cache, logged out and back in, different browsers, etc. as applicable
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Information
In order to be able to effectively help you, we need you to provide clear information to show what the problem is. The exact details needed vary per case, but here is a list of things to consider:
- Your docker-compose.yml and .env files.
- Logs from all the containers and their status (see above).
- All the troubleshooting steps you've tried so far.
- Any recent changes you've made to Immich or your system.
- Details about your system (both software/OS and hardware).
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- Any other information that you think might be relevant.
Please paste files and logs with proper code formatting, and especially avoid blurry screenshots.
Without the right information we can't work out what the problem is. Help us help you ;)
If this ticket can be closed you can use the /close command, and re-open it later if needed.You will need to post the requested info. The n100 should be supported for both HW Accel and ML as far as I know
This is my stack on portainer
I don't know if you need more, i'm using v1.139.4
Do you have hw accel enabled in the actual immich settings?
Also to get accel for ML you need to use the openvino tag I believe
yes I have it... in fact on the machine learning container there is : EXECUTION_PROVIDERS OpenVINOExecutionProvider
I don't know enough about non root deployements. I see you have that environemnt variable but the actual container image is the default one, not the open vino