Hello yall, currently I have an RTX 2060, which I’ll be passing down to slap a 1060 into my server, but I’d like to weigh some options first.
The 2060 has been pretty good with Linux thus far, I’m a little worried about going to the 30 series - so I’ll be accepting affirmations - but I am curious what any of you think about AMD cards and which one to get. Also if there’s any reason not to use a 1060 for jellyfin and such that would be very helpful
Edit: thanks yall! Settled on an RX6600, runs local LLMs like nothing compared to my ol 2060
What are you going to use this GPU for. Simply for playing and you don’t care about ray tracing AMD is king. Or if you find a deal on Intel.
Self hosting LLMs and hobby AI/ML projects, NVIDIA.
Blender - NVIDIA
Internet Streaming - NVIDIA
Video editing - NVIDIA
Plex/Jellyfin - Intel
Unfortunately in most cases NVIDIA is still the king.
Check this link that will give you some ideas about the different GPUs: https://www.tomshardware.com/reviews/best-gpus,4380.html
Kinda lowballed and got an RX6600, honestly pretty chuffed how well it runs LLMs compared to my 2060. Still last gen, but admittedly I’ve only been playing factorio as of late, and Im not so graphics focused
Amd knocks Nvidia into a hat on Linux, the drivers are just too incredible.
With the exception of AI, where Nvidia is just plain the gold standard.
Intel is fine, it has exceptional video encoding and works.
I had an R5 1600x basically since it released, and I appreciate the socket lasted so long. I might as well go full AMD at this point, you’ve convinced me
Yeah, the ryzens are great too.
Full amd will treat you well, I’m running dual xeons and a Radeon pro with an arc 770 just for av1 encode right now.
Next round going full epyc.
NVidia is great in a server, drivers are a pain but do-able. I have a 3000 series that I use regularly and pass into my kubernetes cluster. NVidia on a gaming rig linux is fine, but there is more overhead with the drivers.
AMD is great in gaming servers, but doesn’t have CUDA, so it’s not as useful in a server environment in my experience - if you’re thinking of doing CUDA workloads like hosting LLMs.
1060 will be a noticeable step in Jellyfin
I didn’t even realize CUDA had a weight on LLMs, thank you!
Oh yeah, critical component. And vram, in fact I would only consider LLMs on a 3000+ card right now, they require quite a bit of vram
If you have an Intel CPU with quicksync, it will likely perform better than the 1060 in terms of visual quality, if its coffee lake or newer (8th gen).
If not, well, it’ll be fine up to whatever the stream limit is (4?).
Xeon E5-2640 unfortunately does not, though still an upgrade of what I have now. Stream limit seems entirely configurable, so that will be just a matter of stress testing.
Won’t lie I always forget about all the new CPU hardware acceleration after using decade old hardware for so long 😅
Yeah quicksync won’t help you there.
I thought nVidia’s limit was enforced by their drivers, but that’s probably changed since it’s been a while since I looked at nvenc as a solution (quicksync, then an ARC card over here).
Nvidia drivers work the same now as a few years ago.
If you don’t like it, migrate.
If you don’t mind it, keep it.
555 drivers have given me a couple issues on my main PC, I’ve heard of some issues with newer cards but I figure its just a matter of time before better drivers. I haven’t had to touch pci passthroughs yet and I was unsure if theres more a challenge on server hardware with Nvidia, but it sounds like I’ll be happy to have CUDA
