sunshine VS nvidia-patch

EDIT: Just checked again, original was released early 2020, current maintained project started 2022.

This was made with a Switch + Capture Card and a combination of my moonlight-wiiu port, sunshine and nxbt.

Sunshine https://github.com/loki-47-6F-64/sunshine

Sunrise

You can run https://github.com/loki-47-6F-64/sunshine as an alternative to GFE in February. With Moonlight as the client. It's not 100% there, but still pretty good.

There's an alternative to Moonlight called Sunshine you could try.

Im assuming that this project is just a fork of the original sunshine project ( https://github.com/loki-47-6F-64/sunshine ) for the sake of maintaining and updating it and continued development. It looks like the docs page for this new fork is more thorough, but the Readme thats shown on Github should probably have more immediate directions for installation and the things needed for the gamepad support. The less clicks people need to go through to get things set up and running, the better the experience for everyone its gonna be.

For anyone that wants to still use/run Moonlight after this is shut off, there is an open source gamestream server called sunshine that should realistically still work. I used this previously with an AMD 5700XT, and never had any issues with it, and it performs significantly better then the Steam Link app did.

I think this is the official one https://github.com/loki-47-6F-64/sunshine

This can be patched out. https://github.com/keylase/nvidia-patch

NVIDIA Corporation GA106 [GeForce RTX 3060] and I applied the patch here https://github.com/keylase/nvidia-patch

> 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...

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

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)

Aren't these Quadro versions. The patch here. https://github.com/keylase/nvidia-patch supports Quadro versions of you click on the win clickable.

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.

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?

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