Not sure about how helpful this is. I use a GTX 1070 in my server, but I most of the time have only one concurrent stream. It handles everything (only up to HEVC obviously) flawlessy for now. It's a card with a zero db mode and I've never seen the fans spinning since it's in there, so the load on the GPU even when transcoding can't be very high
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Do you transcode 4k with tonemapping? My P400 does a great job as long as tonemapping is turned off, but that doesn't do much to help me play HDR content. A GTX 1070 would be a great solution, and cheaper than some of the other cards I'm looking at, assuming it can do what I need it to.
I usually only ever have 1 concurrent stream, too. It'd be nice to have a GPU that could support 2 just in case both of us in my household want to use Jellyfin at the same time, but it's certainly not essential.
I do tone mapping just fine with a 1050 TI. It just happened to be what I had left over for my server and it works very well.
another vote for the 1050
I've got a 1070 that I use for transcodes and some tonemapping where necessary and I don't have GPU related issues (My ISP causes their own problems). I can usually run a few small streams at once, and I have a PC that I use to handle files too large to reliably stream to my Chromecast with Google TV over WiFi.
What kind of issues do you have with your ISP? I live in a rural area, so my options for ISP are limited; I have a VDSL connection supplemented by Starlink. Starlink uses CGNAT, so I can't really host anything there unless I use something like Zerotier to Tailscale, but my VDSL connection works pretty well as long as I make sure to drop the bitrate to something that fits in my 4MBit upload. I have anything that accepts incoming connections behind an Nginx reverse proxy, and my routing policy is set up so that Nginx is forced onto the DSL connection.
Not really related to my original post, but I've spent way too much time tinkering with my network, so I was curious.
I guess compared to your situation, they're fantastic. I have a static IP and copper connection, but they don't offer any symmetric plans. I'm stuck with 200down/15up and the best up they offer is 500down/25up.
I went with a p2000. I use plex, but I imagine usage would be similar. I've had 5 people using it at the same time transcoding 4k to 1080 with no issues. Good luck!
I'd guess that Plex uses ffmpeg internally, which would be the same as Jellyfin. I've been looking at both the P2000 and P4000, but I'm leaning a bit toward the T1000 because of the newer architecture. Good to hear that the P2000 is working for you.
Good idea - looks like you may be able to get one on ebay used for less than $200.
Do you have a 7th gen or newer Intel CPU with an iGPU? Quicksync might work for that.
Unfortunately, my CPU does not support quicksync; I'm using dual E5-2650v2s in the server that hosts Jellyfin. It's been a while since I researched it, but I believe that Haswell was the first architecture with quicksync; my CPUs are Ivy Bridge. I've been wanting to upgrade for a while, but it really comes down to the fact that it runs all of my VMs and containers just fine, and there's always somewhere else I find to spend my money.
Regardless, the Jellyfin docs say that tone mapping is only supported via CUDA, which would mean I couldn't use quicksync anyway.
4K and on my P2000 or using Intel QSV isn’t a great experience. I can totally see it not being a good experience on a P4000 too.
That being said with HDR work 1080 it works with both QSV and the P2000. So it should work like a champ on the P4000. I don’t really have any HDR displays so I don’t really grab that many things in HDR so YMMV.
The best advice I can offer is if the content is transcoded into a mp4 container with the ATOM upfront ( aka fast start / web) and you’re not using subtitles it will work okay-ish as long as you do not pause it. Using the mkv container is just asking for sadness in my experience with it. Though at this point if I need to do that I just transcode into AV1, burn the subs into it, and pass through the audio.
Use this guide to find the right card for your budget and specs. https://developer.nvidia.com/cuda-gpus