Now that Nvidia GPUs run on the Raspberry Pi, I want to see if they're good for Jellyfin transcoding (e.g. take your old 3060 and throw it on a Pi for a little #homelab media server...). https://www.jeffgeerling.com/blog/2025/benchmarking-nvenc-video-transcoding-on-pi
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@geerlingguy old 3060?
Thats still my good graphics card. :c
@geerlingguy "[…] take your old 3060 […]"
You live in a very different world than me. I am happy I got a 1060. And that's in my best computer.
Saying a 3060 is something people have laying around unused is a very different reality than mine.
@txt_file I'm a bit jaded by working with the Nvidia drivers, which don't even support the 10 series anymore :(
I never bought an Nvidia card until the 30 series existed, but because of my YT stuff, I upgraded to 40 series last year on my streaming PC. I don't see a reason to go 50 series at all, though.
@geerlingguy if only nouveau would be able to fully support the hardware. But something something NV-RISCV and FALCON and probably more stuff.
Also sad AMD radeon/amdgpu is worse :-(
Thanks for your work. I am sad about the results but that's not your fault. ;-)
@geerlingguy My old 3060 is the newest hardware in my house. 🫠
@geerlingguy how long until nvidia includes a compute module on the card?
The standalone GPU!
@geerlingguy - just out of cutiosity, is any of this explained in repeatable steps people without "institutional knowledge" of this process can follow? By repeatable steps, I mean the list of cli commands in order.
Example
Step 1: execute "mkdir kernelfiles" //creates new directory
Step 2: "cd kernelfiles" //navigates into directory)
Step 3: sudo apt-get source XYZ --arg1 X --arg2 //downloads source
Step 4: execute "sudo apt install buildpackage1, buildpackage2" //installs neccesary tooling
Step 5: install kernel using ...
Not
Step 1: clone the kernel
Step 2: build the kernel
Step 3: some other vague descriptor
Would love to try it myself.
@geerlingguy since a PI5 is useless as Jellyfin server, I just went ahead and got myself a N150 box with 12GB RAM and 512GB NVME. In total it cost about same or less than just a 8GB PI5 inkl all accessories you need to run it (case, PSU, SD card or USB SSD). The N150 is a perfect homelab for me. It runs HomeAssistant, Jellyfin, TVheadend and other container and can transcoded 4 1080p streams in parallel. Super happy with it. I love my PIs for other things, but they just don't work for Jellyfin
@DaAnda I wouldn't say useless, but N100/150 is fine too. Some are getting way more expensive because of RAM shortage 😢
@geerlingguy useless in the sense that you can not really do transcoding. I ran JF on a RPI4 without transcoding, and it was "fine" for a while, but in the end it was mostly just a fancy library UI, unless you exclusively used KODI as client. Every other client basically relies on transcoding, and the PI5 unfortunately does not have suitable HW decoding and encoding support.
@geerlingguy "your old 3060" is still my current GPU. Can we roll this back to actual legacy GPUs?
@768kb So far I don't have any 20 series cards that I can test on. I should pick one up!
I know 10 series and older aren't supported at all by the open kernel module :(
@geerlingguy initially I was wondering about the neat GPU graphs, did they add them to #htop? Wouldn't be the first time that htop were surprising me with cool, new features. Checked my htop, couldn't find them though. Then read your blog post. And ah! It's a tool called nvtop. Good to know.
@T_X btop does have a GPU graph, but right now I can only get that working on x86 :(
@geerlingguy rasp pi fans they must have pi 6 lined up around the corner - one would think, i have my money down
Faster CPU, 32GB RAM, Wi-Fi 6E, NVMe support #compute per watt
@geerlingguy
Why do you have to be a bad influence like that...
@geerlingguy PCIe Gen2 x1 (500-ish MB/s) should be plenty - i see, you've massaged the config, Gen3 x1 - bandwidth won't be the issue.
If the driver runs on ARM, ffmpeg is popular enough to do so as well.
I should actually read your blog post, now. 😅 ...one moment, please..
@geerlingguy on my box - AMD Zen4 octa-core mini PC + OCuLink eGPU/Radeon 9060 XT - i don't get PCIe Rx/Tx stats in nvtop. (Manjaro, btw)
EDIT: i had to double-check, after the big December update of Manjaro - i'm still getting "N/A" for PCIe Rx/Tx, in nvtop. radeontop 1.4 doesn't even recognise my 9060, but that's off-topic. 😅
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