CUDA Core Compute Libraries
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Updated
Aug 6, 2025 - C++
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).
CUDA Core Compute Libraries
Performance monitoring and benchmarking suite
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Nvidia GPU exporter for prometheus using nvidia-smi binary
A repository that holds a simple guide on how you can install and configure proprietary NVIDIA drivers for Arch Linux.
?? USB flash drive ISO image for Ethereum, Zcash and Monero mining with NVIDIA graphics cards and Ubuntu GNU/Linux (headless)
GPU environment and cluster management with LLM support
Multi-threaded GUI manager for mass creation of AI-generated art with support for multiple GPUs.
FanCtrl is a software that allows you to automatically control the fan speed on your PC.
Docker Image for Ubuntu Desktop which support HW GPU accelerated GUI apps. you can access the Container with ssh or remote desktop, just like Cloud VM.
GPUd automates monitoring, diagnostics, and issue identification for GPUs
Install and run Linux on a Razer Blade Stealth (late 2016) and Razer Core.
A consolidation of various compiled open-source AI image/video upscaling product for a working CLI friendly image and video upscaling program.
KDE Plasma Desktop container designed for Kubernetes, supporting OpenGL EGL and GLX, Vulkan, and Wine/Proton for NVIDIA GPUs through WebRTC and HTML5, providing an open-source remote cloud/HPC graphics or game streaming platform.
A shared library of on-demand DeepStream Pipeline Services for Python and C/C++
Xiao's CUDA Optimization Guide [NO LONGER ADDING NEW CONTENT]
KDE Plasma Desktop container designed for Kubernetes, supporting OpenGL EGL and GLX, Vulkan, and Wine/Proton for NVIDIA GPUs through WebRTC and HTML5, providing an open-source remote cloud/HPC graphics or game streaming platform.
Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as higher level abstraction for domain experts
Exascale simulation of multiphase/physics fluid dynamics
Graphics Processing Unit (GPU) Architecture Guide
Created by Jensen Huang, Curtis Priem, Chris Malachowsky
Released April 5, 1993
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