Specifically, models should be limited to a size that can fit in whatever GPU vRAM I personally can afford at any given time

I was so close to having it working, then it needed a quota change to be able to run GPU-optimised Jupyter kernels, so I used the tool, and last I checked I'm still waiting on that. I'm going to copypasta the code cells into a .py file and push containers to ECR from my local machine, I'm tired.

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oh ironically I get much better battery life than when I ran arch w kde like 10-12 hours I think this is because wayland, lack of background work, and not using the gpu

If you can run a private AI with nothing more than a commercially available GPU card, you have the power to imitate and impersonate anyone convincingly. You also have the power to generate multiple, seemingly coherent personas and "flood the zone with shit."

Wooph, just had a case of the streakies on my PC monitor. Vertical smears all over it, like when you see a rainstorm in the distance, or, like your GPU just cooked itself to death. Remembered this happening once before, long ago. Monitor off, monitor on. Fixed. wtf

お得、お得というかGPU非対応のスペックなので一々フル稼働していて寿命削ってそうなの気にしていて

2/? i also have a dedicated hardware machine (m720q tiny i5-9500t) that's currently running adobe media encoder, which is great and all that. Which one is faster? i5 6500 + GTX 1050 TrueNAS with a Media Encoder VM (gpu passtrough) or i5 9500t and uhd 630 running native ws2022

1/? yo, so i kinda want to retire my old HPE Gen8 MicroServer. why? i don't really know, i have a H110M Board with a i5-6500 and 28GB RAM (currently looking for a better board, like 8th gen. i want to create a media encoder vm with gpu passthrough (gtx 1050 2gb)

O fato é, infelizmente não dá pra comprar direto de fornecedores (ou pelo menos é inviável pro cidadão comum). E por aqui não fabricam porcaria nenhuma de GPU. O resultado é um só: Ficamos dependentes de alguma empresa/marca importar como CNPJ e decidir os preços.