this post was submitted on 06 May 2024
76 points (94.2% liked)

Selfhosted

39435 readers
2 users here now

A place to share alternatives to popular online services that can be self-hosted without giving up privacy or locking you into a service you don't control.

Rules:

  1. Be civil: we're here to support and learn from one another. Insults won't be tolerated. Flame wars are frowned upon.

  2. No spam posting.

  3. Posts have to be centered around self-hosting. There are other communities for discussing hardware or home computing. If it's not obvious why your post topic revolves around selfhosting, please include details to make it clear.

  4. Don't duplicate the full text of your blog or github here. Just post the link for folks to click.

  5. Submission headline should match the article title (don’t cherry-pick information from the title to fit your agenda).

  6. No trolling.

Resources:

Any issues on the community? Report it using the report flag.

Questions? DM the mods!

founded 1 year ago
MODERATORS
 

I assume it's not nvidia. Yet I have no idea how to differentiate between them and neither do I know what a good price is.

Let's say I don't want to think about what the video type is. I just want a smooth experience.

Edit: thank you guys!

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 4 points 6 months ago (1 children)

I'm using nvidia right now with a 3060. It doesnt use much power, I got it for pretty cheap on ebay, and it encodes/decodes everything except for av1 encoding which I dont have use for. Looking at the charts in the link below, if you need to encode av1 you'ld need a 4000 series.

https://developer.nvidia.com/video-encode-and-decode-gpu-support-matrix-new

I've found nvidia to work pretty well for jellyfin, I use docker with the nvidia container toolkit and it just worked with hardware encoding out of the gate. I also have some other docker containers running gen ai and the 3060 handles them well as long as the modle will fit in vram.

[–] [email protected] 2 points 6 months ago (1 children)
[–] [email protected] 1 points 6 months ago

I think it entirely depends on your use case and hardware. I have a rack server, I need the extra power relatively frequently, as well as the 16x 2.5" bays and the 4 NICs. A rack server is a fairly power efficient package to get all those features in. However, it means that I am limited to discrete graphics, as Xeons don't have Intel QSV. There's also no monitor connected, and no 3D rendering happening, so the card is gonna idle at >5W and probably only use 20-30W while transcoding. Compared to a system that's idling at ~250W that's nothing.