this post was submitted on 15 Jun 2024
98 points (95.4% liked)

Selfhosted

40438 readers
633 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 2 years ago
MODERATORS
 

For years I’ve had a dream of building a rack mounted PC capable of splitting its resources to host multiple GPU intensive VMs:

  • a few gaming VMs
  • a VM for work that can run Davinci Resolve and Blender renders
  • an LLM server
  • a Stable Diffusion server
  • media server

Just to name a few possibilities…

Everytime I’ve looked into it, it seemed like the technology just wasn’t there yet. I remember a few years ago Linus TT took a shot at it, but in the end suggested the technology (for non-commercial entities) just wasn’t in a comfortable spot yet.

So how far off are we? Obviously AI focused companies seem to make it work, but what possibilities exist for us self-hosters who might also want to run multiple displays in addition to the web gui LLM servers? And without forking out crazy money for GPU virtualization software licenses?

you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 1 points 5 months ago

Fair enough. If you know it doesn't work for your use case that's fine.

As demonstrated elsewhere in this discussion, GPU HEVC encoding only requires 10ms of extra latency, then it can transit over fiber optic networking at very low latency.

Many GPUs have HEVC decoders on board., including cell phones. Most newer Intel and AMD CPUs actually have an HEVC decoder pipeline as well.

I don't think anybody's saying a self-hosted GPU VM is for everybody, but it does make sense for a lot of use cases. And that's where I think our schism is coming from.


As far as the $2,000 transducer to fiber.. it's doing the same exact thing, just more specialized equipment maybe a little bit lower latency.