CUDA C++ Core Libraries
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Updated
Jun 7, 2024 - 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 C++ Core Libraries
This is a repository with a script and instructions for applying a setting to "nvidia-smi" automatically on startup on Linux. Additional settings can be applied to "nvidia-smi" as well.
Repository for OpenVINO's extra modules
Exascale multiphase flow simulation
Nvidia GPU exporter for prometheus using nvidia-smi binary
Nvidia driver to Slackware 15.0
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Horizon chart for CPU/GPU/Neural Engine utilization monitoring on Apple M1/M2 and nVidia GPUs on Linux
using NvidiaNim to chat with pdf document
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A scalable web based application to provide and administer facial access to any device or service through facial biometric recognition.
Training NVIDIA NeMo Megatron Large Language Model (LLM) using NeMo Framework on Google Kubernetes Engine
nvidia drivers AND cuda for linux (drivers are the latest as of 2024)
Fortran interface for DLA-Future
Performance monitoring and benchmarking suite
This repo contains CUDA Programming with C++. Projects are done to learn CUDA from scratch.
This is a guide to having an offline archive of the NVIDIA Proprietary Driver that can be installed offline. This guide is for Linux. This was tested with Linux Mint 21.2 Cinnamon 64-bit.
Codes for DTC-SpMM (ASPLOS'24)
Arch Linux • One File Distro • GNOME • Graphics Driver • Properties File Support • Intuitive Installer
Created by Jensen Huang, Curtis Priem, Chris Malachowsky
Released April 5, 1993