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Top 23 Nvidium Open-Source Projects
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TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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jetson-inference
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
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g-helper
Lightweight Armoury Crate alternative for Asus laptops and ROG Ally. Control tool for ROG Zephyrus G14, G15, G16, M16, Flow X13, Flow X16, TUF, Strix, Scar and other models
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nvitop
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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obs-StreamFX
StreamFX is a plugin for OBS® Studio which adds many new effects, filters, sources, transitions and encoders! Be it 3D Transform, Blur, complex Masking, or even custom shaders, you'll find it all here.
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waifu2x-ncnn-vulkan
waifu2x converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan
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CV-CUDA
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
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jetson_stats
📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
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Autodesk-Fusion-360-for-Linux
This is a project, where I give you a way to use Autodesk Fusion 360 on Linux!
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ffmpeg
Docker build for FFmpeg on Ubuntu / Alpine / Centos / Scratch / nvidia / vaapi (by jrottenberg)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: AMD MI300X 30% higher performance than Nvidia H100, even with optimized stack | news.ycombinator.com | 2023-12-17> It's not rocket science to implement matrix multiplication in any GPU.
You're right, it's harder. Saying this as someone who's done more work on the former than the latter. (I have, with a team, built a rocket engine. And not your school or backyard project size, but nozzle bigger than your face kind. I've also written CUDA kernels and boy is there a big learning curve to the latter that you gotta fundamentally rethink how you view a problem. It's unquestionable why CUDA devs are paid so much. Really it's only questionable why they aren't paid more)
I know it is easy to think this problem is easy, it really looks that way. But there's an incredible amount of optimization that goes into all of this and that's what's really hard. You aren't going to get away with just N for loops for a tensor rank N. You got to chop the data up, be intelligent about it, manage memory, how you load memory, handle many data types, take into consideration different results for different FMA operations, and a whole lot more. There's a whole lot of non-obvious things that result in high optimization (maybe obvious __after__ the fact, but that's not truthfully "obvious"). The thing is, the space is so well researched and implemented that you can't get away with naive implementations, you have to be on the bleeding edge.
Then you have to do that and make it reasonably usable for the programmer too, abstracting away all of that. Cuda also has a huge head start and momentum is not a force to be reckoned with (pun intended).
Look at TensorRT[0]. The software isn't even complete and it still isn't going to cover all neural networks on all GPUs. I've had stuff work on a V100 and H100 but not an A100, then later get fixed. They even have the "Apple Advantage" in that they have control of the hardware. I'm not certain AMD will have the same advantage. We talk a lot about the difficulties of being first mover, but I think we can also recognize that momentum is an advantage of being first mover. And it isn't one to scoff at.
[0] https://github.com/NVIDIA/TensorRT
I found this https://github.com/moonlight-stream/moonlight-qt/issues/967
Project mention: Nvtop: Linux Task Monitor for Nvidia, AMD and Intel GPUs | news.ycombinator.com | 2024-03-12
Uninstall Armoury Create and install G-Helper. G-Helper
Project mention: Optimization Techniques for GPU Programming [pdf] | news.ycombinator.com | 2023-08-09I would recommend the course from Oxford (https://people.maths.ox.ac.uk/gilesm/cuda/). Also explore the tutorial section of cutlass (https://github.com/NVIDIA/cutlass/blob/main/media/docs/cute/...) if you want to learn more about high performance gemm.
Project mention: Nvtop: Linux Task Monitor for Nvidia, AMD and Intel GPUs | news.ycombinator.com | 2024-03-12That's why the authors recommend pipx for installing nvitop. I am not a sysadmin, but I prefer pipx over relying on the (often outdated) distro sources.
https://github.com/XuehaiPan/nvitop?tab=readme-ov-file#insta...
Project mention: OBS telling me I need to update or remove plugins but I can’t find these two plugins in my plugins folder in my C-Drive. What do I do? | /r/obs | 2023-07-01
Project mention: Has anyone been able to stream this game using Moonlight or Steam Link? | /r/vtmb | 2023-10-05I could however play it through Moonlight Deskstop Stream using the mstmc.exe. This way I could just open Steam in Big Picture Mode then launch the game as always. However, once ing game, it has some weird visual glitch when walking in the streets of the city causing some stroboscopic effect in the textures which switch to a whitish washed-off color, and then back to normal darker colors, and then half a second later back to whitish colors, etc.
Project mention: Introducing Cellulose - an ONNX model visualizer with hardware runtime support annotations | /r/tensorflow | 2023-05-23[1] - We use onnx-tensorrt for this TensorRT compatibility checks.
i found a script someone made (here) but it just isnt working, when i use bottle i get an error that it failed to login, and when i use the script wget just times out. i manually downloaded the script, but the script has wget in it anyway. i tried adding -4 to wget, which didnt help.
https://github.com/dusty-nv/jetson-containers This one might be helpful
Nvidia related posts
- Vulkan compute tool for testing video memory stability
- Nvidia RTX Remix Open Beta Available Now – Remaster the Classics with RTX
- AMD MI300X 30% higher performance than Nvidia H100, even with optimized stack
- best Distro for Noob
- Sunshine: HEVC not supported (even though it should)
- Linux with proton outperforming windows
- New monitor and VGA cable smudges/ghosting
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A note from our sponsor - WorkOS
workos.com | 26 Apr 2024
Index
What are some of the best open-source Nvidium projects? This list will help you:
Project | Stars | |
---|---|---|
1 | TensorRT | 9,065 |
2 | moonlight-qt | 8,272 |
3 | nvtop | 7,401 |
4 | jetson-inference | 7,323 |
5 | g-helper | 4,570 |
6 | cutlass | 4,522 |
7 | nvitop | 3,934 |
8 | cuml | 3,894 |
9 | obs-StreamFX | 3,820 |
10 | NBMiner | 3,163 |
11 | awesome-vulkan | 3,141 |
12 | moonlight-android | 3,070 |
13 | waifu2x-ncnn-vulkan | 2,874 |
14 | onnx-tensorrt | 2,749 |
15 | TensorRT | 2,328 |
16 | CV-CUDA | 2,190 |
17 | jetson_stats | 2,023 |
18 | QualityScaler | 1,719 |
19 | Autodesk-Fusion-360-for-Linux | 1,702 |
20 | jetson-containers | 1,624 |
21 | cugraph | 1,567 |
22 | SHARK | 1,382 |
23 | ffmpeg | 1,344 |
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