💰 USB flash drive ISO image for Ethereum, Zcash and Monero mining with NVIDIA graphics cards and Ubuntu GNU/Linux (headless)

This repository includes patched legacy nVIDIA drivers for newer Linux kernels (5.8 - 6.8). Works on all Linux distros.

How to Configure a GPU Cluster Running Ubuntu Linux

Memory consistency modelling using Alloy

The Zabbix template for monitoring Nvidia graphics cards.

NGC Container Replicator

NVIDIA DeepStream SDK

CUDA Finite Difference Library

[CF ’20] Verified Instruction-Level Energy Consumption Measurement for NVIDIA GPUs

A general cubic equation solver and quartic equation minimisation solver written for CPU and Nvidia GPUs, for more details and results, see: https://arxiv.org/abs/1903.10041. The library is available for C++/CUDA as well as Python using Pybind11.

High-Performance GISAXS (Grazing Incidence Small Angle X-ray Scattering)

Reference implementation of a multi-tenant GPU-accelerated application, packaged as a Docker container and intended to be used in AWS on NVIDIA-powered instances.

Wrapper scripts to install proprietary NVIDIA drivers on GNU/Linux systems

Tools and Instruction Sets for GPU cluster setup.

This project develops an advanced medical image segmentation system using U-Net, Generative Adversarial Networks (GANs) for data augmentation, and a Large Language Model (LLM) like GPT-2 for generating descriptive reports. Leveraging NVIDIA GPUs, it enhances accuracy and provides detailed insights through accelerated computing and integrated AI.

A desktop application for controlling Nvidia GPU fans speed on Ubuntu

Software watchdog for mining rigs.

Synthetic Dataset Generation using Nvidia Omniverse Replicator

Bechmarck basado en la operacion suma para CPU y GPUs Nvidia con tecnología CUDA.

Enterprise application suite for managing NVIDIA Game Ready Driver updates without using GeForce Experience

A simple batch file that reads from nvidia-smi file (Located in C:\Program Files\NVIDIA Corporation\NVSMI) and returns the current power draw of the GPU in Watts.

No description provided.

Generated several multi-target regression models using SKLearn and CuML to predict drug mechanisms of action using cell viability and gene expression data generated through in vitro experiments.