kube-plex
nvidia-patch
kube-plex | nvidia-patch | |
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12 | 309 | |
1,191 | 2,975 | |
- | - | |
0.0 | 8.5 | |
about 1 year ago | 5 days ago | |
Go | Python | |
Apache License 2.0 | - |
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kube-plex
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Run a single Plex server across multiple physical servers?
Example: https://github.com/munnerz/kube-plex
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Secondary Plex Server
There are some projects to distribute transcoding jobs like the Unicorn Transcoder (last activity in 2021), Remote Transcoder (last activity in 2017) or the Kubernetes project (last activity in 2020)
- Multiple Servers to spread out processing power, looks like a single server to the user... Possible?
- Any Multi-Media (e.g. Plex) Which Works With Load Balancer (Multiple-Server)
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Plex on Kubernetes with hardware decoding... Victory
not OP, but I have some experience with Kubernetes, plex is the last service that I haven't yet migrated to my K3s cluster. Generally speaking, Kubernetes doesn't mean HA, it does mean that if a node goes down, plex will ideally spin on on another (assuming everything is correctly configured) but an application needs to be designed specifically to be deployed in a HA way in order to scale horizontally like you are suggesting. You can see in the picture that only 1 Pod (a unit that holds a container) is actually running. There is/was a project to separate our transcode jobs into their own pods to allow for horizontal scaling of transcode jobs, but it looks like it hasn't been updated in years, sounds a bit hacky and I haven't had the confidence to try it just yet.
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Serious: What is the use case for this as home user?
There is a project out there for Plex in Kubernetes btw!
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My custom-built 10-inch Raspberry Pi rack in IKEA Kallax
-> https://github.com/munnerz/kube-plex
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32 Node KBN-I/5200 Kubernetes cluster running Debian 10/K8s 1.17/Intel Core i7/8GB RAM each. Used the standoffs and mounted each 8 stack to empty trays. Disks are 64GB USB3 sticks.
I've been there and it's not officially supported by Plex or even Jellyfin or Emby. There's kube-plex which is not maintained anymore, probably the most success you could have is with unicorn transcoder however it forces you to stay pinned to a Plex version until the maintainers push an update.
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Raspberry Pi POE cluster
Theres kube-plex, which does this https://github.com/munnerz/kube-plex
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k8s-mediaserver-operator - Your all-in-one resource for your media needs! - Plex/Jackett/Radarr/Sonarr/Transmission
Btw it looks like kube-plex (with pod transcoding) isn't dead yet https://github.com/munnerz/kube-plex/pull/97#issuecomment-620610658
nvidia-patch
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Do I need to have a beefy PC to transcode 4k? Or can I just buy my brother an Nvidia shield pro and setup a cheap server on my end?
This can be patched out. https://github.com/keylase/nvidia-patch
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Transcoding 4K HDR tone mapping
NVIDIA Corporation GA106 [GeForce RTX 3060] and I applied the patch here https://github.com/keylase/nvidia-patch
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Linux 6.6 to Protect Against Illicit Behavior of Nvidia Proprietary Driver
> CUDA, and pretty much all optimization(hacks) done to run games better
And arbitrary limitations implemented at the driver level to force you to purchase their enterprise GPUs, see https://github.com/keylase/nvidia-patch#nvenc-and-nvfbc-patc...
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GPU Guide (For AI Use-Cases)
Nvidia has no motivation to make a consumer card with lots of VRAM, that's basically the only (relevant) separator between the GeForce family and the Quadro lineup.
There are restrictions on NVENC streams with consumer cards, but that has been a solved problem for a while [0].
If they were to make a consumer card with more VRAM, it would immediately undercut their own Quadro/Tesla lineup, which cost substantially more. I don't see a reason for them to do it.
0: https://github.com/keylase/nvidia-patch
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Can't hardware transcode mor than 5 at a time even after all the required changes
I have never had to do the session limit bump thing from the last link. I have a 3090 as well and simply did the initial unlock, which worked fine. I would reinstall fresh drivers from Nvidia, making sure you install the newest one that is supported by the unlock tool (536.40 as of this post, the GitHub for the patch has links to the drivers - https://github.com/keylase/nvidia-patch/tree/master/win)
- Can you flash any consumer version Nvidia card to remove the streaming limits?
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Can my GPU transcode?
Aren't these Quadro versions. The patch here. https://github.com/keylase/nvidia-patch supports Quadro versions of you click on the win clickable.
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Let's have a talk - Guide to Choosing the Best Plex Server for You
Second, the GPU. The GPU is probably as important as the CPU, and in some cases more important, and when we talk about GPUs we will primarily talk about Nvidia GPUs as they are officialy supported by the Plex team. NVIDIA GPUs are important for Plex hardware transcoding due to their dedicated video encoding/decoding units, superior performance, wide codec support, improved video quality, reduced CPU load, power efficiency. They offer a powerful hardware acceleration solution that can greatly enhance the transcoding capabilities of a Plex server. It's also important to note that Nvidia GPUs require a patch to unlock the number of HW transcoding streams. Dedicated GPUs are large pieces of hardware and have their place in desktop PCs. However, they can also be used with mini-PCs by using an external GPU enclosure.
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What does this Max. 3 concurrent stream cap mean anway?
As there's no NVENC patch available (yet) for the Beta driver branch - referring to this one: https://github.com/keylase/nvidia-patch - which can lift the limits of HW transcoding, I was now wondering a little, as I can see 5 (hw) streams on Plex, which actually shouldn't/cannot be the case no?
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Is there somewhere that lists Nvidia GPUs.
I haven’t done this yet but there is a patch on GitHub that removes the limitation for consumer GPUs. Makes lower end cards more attractive for this type of work
What are some alternatives?
UnicornTranscoder - Remote transcoder for Plex
vgpu_unlock - Unlock vGPU functionality for consumer grade GPUs.
home-cluster - My home server cluster, managed by flux and defined as code here
nvlax - Future-proof NvENC & NvFBC patcher (Linux/Windows)
charts - ⚠️ Deprecated : Helm charts for applications you run at home
Sunshine - Self-hosted game stream host for Moonlight.
metallb - A network load-balancer implementation for Kubernetes using standard routing protocols
wlroots - A modular Wayland compositor library
longhorn - Cloud-Native distributed storage built on and for Kubernetes
unmanic - Unmanic - Library Optimiser
home-ops - Wife approved HomeOps driven by Kubernetes and GitOps using Flux
Proxmox-Nvidia-LXC- - how to create an Proxmox LXC in 6.2-1