NVIDIAImageScaling
nvidia-patch
NVIDIAImageScaling | nvidia-patch | |
---|---|---|
8 | 309 | |
468 | 2,975 | |
0.0% | - | |
1.8 | 8.5 | |
over 1 year ago | 2 days ago | |
C | Python | |
MIT License | - |
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NVIDIAImageScaling
- Hogwarts Legacy Steam Deck Gameplay First 20 minutes default settings (SteamOS)
- NVIDIA 510.39.01 Linux Beta Brings Vulkan Dynamic Rendering, AV1 VDPAU Decode & More
- Linus Torvalds Calls NVIDIA The Worst Company Ever
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Halo Infinite Campaign PC Performance Benchmarks at ComputerBase
works through nvidia control panel in ALL games, they also released the OpenSource SDK on Github - https://github.com/NVIDIAGameWorks/NVIDIAImageScaling so its up to game devs to use it in games.
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Nvidia image scaling (nis) yay or nay?
HUD being upscaled is a negative there's no denying that, but being able to use it in all games is a pretty good compromise, oh and btw NIS is open source rather than "driver level" only as you seem to suggest (?), its up to game devs to use it.
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FOSS News International #4: November 22-28, 2021
NVIDIA open sourced Image Scaling SDK v1.0
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Megathread - From NVIDIA DLSS 2.3 To NVIDIA Image Scaling: NVIDIA’s Full Stack Of Scaling Solutions For Gamers
NIS has universal driver support for any cards that are still receiving regular driver updates, and for the cards that aren't, NVIDIA's open sourced NIS under a Github repository, so devs are able to implement it themselves very easily, even without an SDK.
- NVIDIA Image Scaling SDK v1.0
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?
openvr_fsr - Add Image Upscaling via AMD FidelityFX SuperResolution or NVIDIA Image Scaling to SteamVR games
vgpu_unlock - Unlock vGPU functionality for consumer grade GPUs.
emscripten - Emscripten: An LLVM-to-WebAssembly Compiler
nvlax - Future-proof NvENC & NvFBC patcher (Linux/Windows)
CadZinho - Minimalist computer aided design (CAD) software
Sunshine - Self-hosted game stream host for Moonlight.
Proton - Compatibility tool for Steam Play based on Wine and additional components
wlroots - A modular Wayland compositor library
elfshaker - elfshaker stores binary objects efficiently
unmanic - Unmanic - Library Optimiser
stratisd - Easy to use local storage management for Linux.
Proxmox-Nvidia-LXC- - how to create an Proxmox LXC in 6.2-1