Performance monitoring and benchmarking suite
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Updated
Mar 8, 2023 - 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).
Performance monitoring and benchmarking suite
Install and run Linux on a Razer Blade Stealth (late 2016) and Razer Core.
FanCtrl is a software that allows you to automatically control the fan speed on your PC.
Nvidia GPU exporter for prometheus using nvidia-smi binary
Multi-threaded GUI manager for mass creation of AI-generated art with support for multiple GPUs.
A cross-platform go bot that tracks for availability of stock from Nvidia's store and adds a cart to your checkout.
A shared library of on-demand DeepStream Pipeline Services for Python and C/C++
KDE Plasma Desktop container designed for Kubernetes supporting OpenGL GLX and Vulkan for NVIDIA GPUs with WebRTC and HTML5, providing an open source remote cloud graphics or game streaming platform. Spawns its own fully isolated X Server instead of using the host X server, not requiring /tmp/.X11-unix host sockets or host configuration.
Task Manager for Linux for Nvidia graphics cards
KDE Plasma Desktop container designed for Kubernetes with direct access to the GPU with EGL using VirtualGL and Vulkan for GPUs with WebRTC and HTML5, providing an open source remote cloud graphics or game streaming platform. Does not require /tmp/.X11-unix host sockets or host configuration.
A Powershell one-click solution to enable NVIDIA GeForce Experience GameStream on a cloud machine with a GRID supporting GPU.
DockerFile with GPU support for TensorFlow and OpenCV
Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line
Repository for OpenVINO's extra modules
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.
PyProf2: PyTorch Profiling tool
SORDI dataset has per frame annotation file in json format. Following tools create a COCO style annotation out of it. Thus the SORDI data can be easily fed into COCO style training pipelines.
A collection of NVIDIA cuOpt samples and other resources
Solvers/annealers for simulated quantum annealing on CPU and CUDA(NVIDIA GPU).
Created by Jensen Huang, Curtis Priem, Chris Malachowsky
Released April 5, 1993