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Immich2w ago
Graxo

Offload the CPU as much as possible

Hi, I have Immich v1.123.0 running with a Nvidia Tesla T4. I want to offload the CPU as much as possible, so i have the hwaccel.ml.yml and the hwaccel.transcoding.yml enabled in my docker-compose.yml. In what way, or what jobs, are offloaded from the CPU with this enabled, or how can i check this? The CPU still spikes to 99%-100% from time to time. This is not a huge issue ofc, but i want to keep the CPU load as low as possible ofc.
11 Replies
Immich
Immich2w ago
:wave: Hey @Graxo, 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 (an item can be marked as "complete" by reacting with the appropriate number) 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). - Details about your storage (filesystems, type of disks, output of commands like fdisk -l and df -h). - The version of the Immich server, mobile app, and other relevant pieces. - 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.
Graxo
GraxoOP2w ago
I understand that most of the things above are needed if something is not working or broken. I just have a informative question.
bo0tzz
bo0tzz2w ago
Using hardware acceleration doesn't mean the CPU won't do anything. hwaccel is fast enough that the CPU is plenty busy just giving the GPU work to do
Graxo
GraxoOP2w ago
Using hardware acceleration doesn't mean the CPU won't do anything Thats not what im saying. Or expecting, im asking how i can check that its actually using the GPU instead of the CPU? Sorry if my question wasnt clear enough. I have edited the post.
Mraedis
Mraedis2w ago
by monitoring your GPU with nvtop for instance Or checking the container logs, if it tries to use the GPU and fails it should show up there
Graxo
GraxoOP2w ago
[root@immich docker-data]# docker exec -it 0641f661c6a7 bash root@0641f661c6a7:/usr/src/app# nvtop bash: nvtop: command not found
Mraedis
Mraedis2w ago
nvtop is not inside the container
Graxo
GraxoOP2w ago
Outside the container only nvidia-smiworks. nvtop is not known
Mraedis
Mraedis2w ago
... well you need to install it first
Graxo
GraxoOP2w ago
Alright, ill start some jobs to see if it does something I guess its working like it should.. I think i expected more load on the GPU and waaay less load on the CPU. Ill see how it all preforms now
Mraedis
Mraedis2w ago
Just consider that it might be doing 10x the load The CPU is busy supplying the GPU with tasks the GPU zooms through the tasks CPU still at 80% but overall it takes 10x less time

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