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[-] vluz@kbin.social 5 points 5 months ago

Messing around with system python/pip and newly installed versions till all was broken and then looking at documentation.
This was way back on the 00's and I'm still ashamed on how fast completely I messed it up.

[-] vluz@kbin.social 2 points 5 months ago

Just figured out there are 10 places called Lisbon dotted around the US, according to the search.

[-] vluz@kbin.social 3 points 7 months ago

Got one more for you: https://gossip.ink/
I use it via a docker/podman container I've made for it: https://hub.docker.com/repository/docker/vluz/node-umi-gossip-run/general

[-] vluz@kbin.social 3 points 8 months ago

I got cancelled too and chose Hetzner instead. Will not do business with a company that can't get their filters working decently.

[-] vluz@kbin.social 7 points 10 months ago

Lovely! I'll go read the code as soon as I have some coffee.

[-] vluz@kbin.social 4 points 11 months ago

Oh my Gwyn, this comment section is just amazing.

[-] vluz@kbin.social 6 points 1 year ago

Goddammit! Don't tell that one, I use it to impress random people at parties.

[-] vluz@kbin.social 11 points 1 year ago

HateLLM will be a smash. /s

[-] vluz@kbin.social -2 points 1 year ago
[-] vluz@kbin.social 2 points 1 year ago

That's wonderful to know! Thank you again.
I'll follow your instructions, this implementation is exactly what I was looking for.

[-] vluz@kbin.social 2 points 1 year ago* (last edited 1 year ago)

Absolutely stellar write up. Thank you!

I have a couple of questions.
Imagine I have a powerful consumer gpu card to trow at this solution, 4090ti for the sake of example.
- How many containers can share one physical card, taking into account total vram memory will not be exceeded?
- How does one virtual gpu look like in the container? Can I run standard stuff like PyTorch, Tensorflow, and CUDA stuff in general?

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vluz

joined 1 year ago