NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
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Updated
Jun 12, 2024 - Go
NVIDIA Corporation is a company that manufactures graphics processors, mobile technologies, and desktop computers. It is known for developing integrated circuits, which are used in everything from electronic game consoles to personal computers (PCs). The company is a leading manufacturer of high-end graphics processing units (GPUs).
NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes
Nvidia GPU exporter for prometheus using nvidia-smi binary
CUDA C++ Core Libraries
GameStream client for PCs (Windows, Mac, Linux, and Steam Link)
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
This is the NVIDIA RTX Remix Runtime Bridge repository
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
This is a guide to having an offline archive of the NVIDIA Proprietary Driver that can be installed offline as well as a scipt for applying a settings to "nvidia-smi" on startup. This was tested with Linux Mint 21.2 Cinnamon 64-bit.
SHARK - High Performance Machine Learning Distribution
cuML - RAPIDS Machine Learning Library
Alternative NVAPI implementation on top of DXVK.
QualityScaler - image/video AI upscaler app
A shared library of on-demand DeepStream Pipeline Services for Python and C/C++
GPU-accelerated tree-search in Chapel
The following repository contains the Docker image for ffmpeg which runs the Radio Coda Stream.
Open-Source Low-Latency Accelerated Linux WebRTC HTML5 Remote Desktop Streaming Platform for Self-Hosting, Containers, Kubernetes, and HPC
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
Some general algorithms implemented in cuda.
Created by Jensen Huang, Curtis Priem, Chris Malachowsky
Released April 5, 1993