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this post was submitted on 29 Dec 2024
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I'm glad you posted this because I need similar advice. I want a GPU for Jellyfin transcoding and running Ollama (for a local conversation agent for Home Assistant), splitting access to the single GPU between two VMs in Proxmox.
I would also prefer it to be AMD as a first choice or Intel as a second, because I'm still not a fan of Nvidia for their hostile attitude towards Linux and for proprietary CUDA.
(The sad thing is that I probably could have accomplished the transcoding part with just integrated graphics, but my AMD CPU isn't an APU.)
The problem with AMD graphics cards is that the performance that CUDA, xformers and pytorch provide for nVidia cards blows anything AMD has away by a significantly high order of magnitude.
I have no idea why AMD gpus are so trash when it comes near anything involving generative AI/LLMs, DLSS, Jellyfin transcoding, or even raytracing; i would recommend waiting until their upcoming new GPU announcements.
There's a CUDA emulator called ZLUDA that fixes a lot of that.
Development for that stopped almost a year ago because the performance difference is so much that no one used it and even AMD themselves dropped all funding to that project.
It was started again and is close to where it was before it was dropped.
It’s not functional yet.