Networking isn’t specific to Linux. It’s just networking. Nginx configs work the same on every OS.

No special knowledge needed except the very basic ability to understand and run commands from documentation.

Sure…so I’m confused why you’re bringing XFS to the conversation.

They literally said it was a btrfs array.

If it mounts, and you can read it, then it’s fine and you just need Proxmox to pay attention to it. Works like any Linux install and you need to add the disk into fstab BEFORE Proxmox starts up. Here’s a thread: https://forum.proxmox.com/threads/how-to-mount-existing-disk-to-storage.66559/

…why? He has a functioning array already. It mounts and is readable.

Then you need to go looking in your logs. You mentioned nginx, so go check those logs, or the WordPress logs and see if you can get any info. Wouldn’t hurt to also check your browser console output and see if there are any errors there when attempting to load the page.

I’m missing something in your post then.

Are you asking exactly what the mechanism for getting a direct video stream from a camera is? Depends on your camera, but it’s almost always RTSP.

Are you sure your camera even supports streaming off camera? You can try opening an RTSP stream from the camera with VLC as a quick and simple test to find out.

You can either connect whatever the WordPress host is on to your VPN and access the camera that way, or create a reverse proxy off of something connecting to the VPN. There’s no other way to transport a live video stream like this between points except by direct connection though.

As fast as it gets to the CPU. That should be pretty obvious.

AMD APU uses whatever system RAM is as VRAM, so…yeah. NPU as well.

Here’s a quick idea of what you’d want in a PC build https://newegg.io/2d410e4

You can have a slightly bigger package in PC form and doing 4x the work for half the price. That’s the gist.

I just looked, and the MM maxes out at 24G anyway. Not sure where you got the thought of 196GB at. NVM you said m2 ultra

Look, you have two choices. Just pick one. Whichever is more cost effective and works for you is the winner. Talking it down to the Nth degree here isn’t going to help you with the actual barriers to entry you’ve put in place.

I’ve not run such things on Apple hardware, so can’t speak to the functionality, but you’d definitely be able to do it cheaper with PC hardware.

The problem with this kind of setup is going to be heat. There are definitely cheaper minipcs, but I wouldn’t think they have the space for this much memory AND a GPU, so you’d be looking for an AMD APU/NPU combo maybe. You could easily build something about the size of a game console that does this for maybe $1.5k.

https://discourse.joplinapp.org/t/joplin-server-documentation/24026

4 minimum. Joplin doesn’t need a server though. Just configure the storage backends to be whatever you want.

Sure seems like you’re either sourcing these images wrong, or they’re missing something. The docs themselves even reference this command as it’s a good way to test the container is linked to the host hardware properly.

Maybe try starting a shell and finding if that executable exists in the image.

‘docker exec -it jellyfin nvidia-smi’

You need to be running the Nvidia container toolkit and specify the container be launched with that runtime if you want direct hardware access to enc/dec hardware.

Yup