Nvidia Jetson Xavier NX - an ideal PMS?

I read this article about nvidia’s just-launched higher-end raspberry pi competitor: https://www.notebookcheck.net/Jetson-Xavier-NX-NVIDIA-launches-its-powerful-alternative-to-the-Raspberry-Pi-with-AI-acceleration.465689.0.html

This caught my eye: "The Jetson Xavier NX Developer Kit can also encode up to two 4K/30 FPS videos simultaneously or sixteen videos at 1080p/30 FPS. "

That seems like a perfectly capable single-device PMS Server. I’ve been thinking about making a transcoding cluster and a bunch of other solutions to better handle my growing extended family’s streaming needs, but this sounds like it may handle it solo.

I just ordered one from here:


I’ll let you know how it goes!

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Request:

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Very interested about this as well, on paper it seems like a great board for the purpose.

I’d imagine we’d have to wait and see how the performance is in the real world, and if there would be custom work needed to take advantage of the hardware.

That last part could be the kicker, since it’s a dev board and supposedly not mass market the devs may not see it has a target platform for optimization. Of course this is all speculation.

Please report back on how it works when you get yours, following this thread!

@ChuckPa ok

@aramova all good points there. Fingers crossed it’ll just work with no customizations, with the help of linuxserver’s arm64 Plex build here: https://hub.docker.com/r/linuxserver/plex

It just arrived today, looking forward to diving in tonight, so stay tuned…

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Sorry for the 2 weeks of dead air - it’s been a trying time with the Xavier NX. Bottom line for now is - fresh install of the xavier’s stock linux os, with a bare metal install of plex media server (ie: not inside a docker container) results in plex not seeing any hardware transcoding devices onboard. Aside from that, just in general, it seems like getting hardware transcoding on arm devices is a major reach. I happen to have a NUC10i7FNH, and with ubuntu 20 on it, plex can detect quicksync hardware on it natively, so, I’m focusing my time on that. Perhaps I’ll return to this at some point in the future once arm and nvidia are better supported for this use case.

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