Search Results for "nvidia driver"
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Showing 43 open source projects for "nvidia driver"
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NVIDIA Profile Inspector
Modify game profiles inside the internal driver database
NVIDIA Profile Inspector is a specialized utility that allows users to view and modify hidden graphics driver settings within NVIDIA’s internal profile database, providing deeper control than the official NVIDIA Control Panel. It exposes advanced and undocumented configuration options that can influence rendering behavior, performance optimization, and compatibility for specific games. -
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NVIDIA Linux Open GPU Kernel Module
NVIDIA Linux open GPU kernel module source
This is the source release of the NVIDIA Linux open GPU kernel modules, version 530.41.03. Note that the kernel modules built here must be used with GSP firmware and user-space NVIDIA GPU driver components from a corresponding 530.41.03 driver release. Currently, the kernel modules can be built for x86_64 or aarch64. If cross-compiling, set these variables on the make command line. -
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NVTOP
GPU & Accelerator process monitoring for AMD, Apple, Huawei, Intel
NVTOP stands for Neat Video card TOP, a (h) top-like task monitor for GPUs and accelerators. It can handle multiple GPUs and print information about them in a htop-familiar way. Currently supported vendors are AMD (Linux AMD GPU driver), Apple (limited M1 & M2 support), Huawei (Ascend), Intel (Linux i915 driver), NVIDIA (Linux proprietary divers), and Qualcomm Adreno (Linux MSM driver). -
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NVCleanstall
Custom NVIDIA driver installer: skip telemetry, GFE, bloat, etc.
NVCleanstall lets you customize the NVIDIA GeForce Driver package by removing components that you don't need (or want). This not only keeps things tidy, but also lowers disk usage and memory footprint. Unlike the NVIDIA custom installation, you can unselect packages like "Stereo 3D Glasses", "USB-C", Notebook Optimizations or Telemetry from the NVIDIA drivers. -
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CUDA API Wrappers
Thin, unified, C++-flavored wrappers for the CUDA APIs
CUDA API Wrappers is a C++ library providing high-level, modern wrappers for NVIDIA’s CUDA runtime and driver APIs, enhancing usability and efficiency. It is intended for those who would otherwise use these APIs directly, to make working with them more intuitive and consistent, making use of modern C++ language capabilities, programming idioms, and best practices. In a nutshell - making CUDA API work more fun. -
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CUDA Python
Performance meets Productivity
CUDA Python is a unified Python interface for accessing and working with the NVIDIA CUDA platform, enabling developers to build GPU-accelerated applications entirely in Python. It acts as a metapackage composed of multiple submodules that provide both high-level and low-level access to CUDA functionality, including runtime APIs, driver APIs, and JIT compilation tools. The project is designed to simplify GPU programming by offering Pythonic abstractions while still exposing the full power of CUDA for advanced users. ... -
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CUDA.jl
CUDA programming in Julia
High-performance GPU programming in a high-level language. JuliaGPU is a GitHub organization created to unify the many packages for programming GPUs in Julia. With its high-level syntax and flexible compiler, Julia is well-positioned to productively program hardware accelerators like GPUs without sacrificing performance. The latest development version of CUDA.jl requires Julia 1.8 or higher. If you are using an older version of Julia, you need to use a previous version of CUDA.jl. This will... -
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AIO-Driver-Update
AIO Driver Updater For Windows
...Whether you're a gamer, creative professional, or everyday user, keeping your drivers current is essential. The AIO Driver Update tool helps you automatically detect and install the latest versions of the most important and frequently updated drivers, including: 🔧 Most Popular Drivers That Need Regular Updates: Graphics Card Drivers (NVIDIA, AMD, Intel) Boost gaming performance, resolve display issues, and unlock new visual features. Audio Drivers (Realtek, Creative, ASUS) Fix sound glitches, enhance audio quality, and ensure compatibility with new software. -
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Garuda Linux is a userfriendly and performance orientated distro which is based on Arch Linux. Unlike Arch, the installation process is easy and management easy because of many included advanced GUI tools to manage the system. Garuda Linux provides system security by using automatic BTRFS snapshots when upgrading which you can boot into if an upgrade fails.
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InvokeAI
InvokeAI is a leading creative engine for Stable Diffusion models
...InvokeAI offers an industry leading Web Interface, interactive Command Line Interface, and also serves as the foundation for multiple commercial products. This fork is supported across Linux, Windows and Macintosh. Linux users can use either an Nvidia-based card (with CUDA support) or an AMD card (using the ROCm driver). We do not recommend the GTX 1650 or 1660 series video cards. They are unable to run in half-precision mode and do not have sufficient VRAM to render 512x512 images. -
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GPU-Z
Lightweight GPU information and diagnostics tool.
GPU-Z is a specialized and lightweight system utility designed to provide in-depth information about your video card and graphics processor. It offers comprehensive support for a wide range of graphics devices from NVIDIA, AMD, ATI, and Intel. The application delivers detailed data on the adapter, GPU specifications, and display information. It accurately reports clock speeds, including default, overclocked, 3D, and boost clocks. Furthermore, it provides a detailed analysis of the memory... -
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Zenclora OS
Debian-based desktop distro optimized for stability and daily use
Zenclora is a Debian-based desktop Linux distribution optimized for stability and daily use. Zenclora offers simplified package and system management commands to make Linux usage easier; it avoids unnecessary complexity while providing control to the user. Check the website for details: https://nixovena.org/zenclora -
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This is the start of a project to support the Nouveau driver for old Nvidia GPUs, this will improve performance and add experimental features to further improve performance, its in testing mode for many old Nvidia GPUs with no propietary drivers to install.
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Overkill Linux (formerly Megamix)
Debian based KDE distro with 20 Different Edition and System Manager
...Through the Overkill System Manager, all required packages for each edition are downloaded and kernel settings are applied with a single click. The System Manager also provides ZRAM support, NVIDIA driver installation, package management, DNS configuration, browser installation, and general system administration tools. The goal of Overkill is to provide an effortless and fast workstation setup for every user. One ISO, install your preferred edition after boot, and your system is ready. Website: nixovena.org/overkill -
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Universal x86 Tuning Utility
Unlock the full potential of your Intel/AMD based device!
What is UXTU? • It's a tuning utility aimed at helping you tune your device as you wish. • It's created by the developers of Ryzen Controller, Renoir Mobile Tuning, and Power Control Panel. This includes temperature and power limits adjustments, voltage control, and much more! • It's a little lightweight Ryzen Master/XTU alternative for x86 laptops and computers that allows fine control over your device's processor and GPU/s. • Works best on Zen-based CPUs/APUs or Intel CPUs that... -
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COS++ Linux (Ubuntu)
Ubuntu based Linux Distro with Full Gaming and Dev Stack
This distribution is an Ubuntu-based distribution with full Nvidia driver and optimization support, as well as other apps that allow you to play any Windows game on Linux. It also comes pre-loaded with all of the necessary developer tools, as well as VSCODIUM ready to go. It has been optimized to deliver smooth performance with a familiar and clean desktop UI (Cinnamon). I hope you enjoy! (Based on LinuxMint 22.3. -
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Exton|OS
Exton|OS 64 bit based on Ubuntu/Debian with KDE Plasma 4:6.6.6
...ANDROID STUDIO You can emulate different Android systems (with GAPPS - Google Play). If you have plenty of RAM you can do it live. I.e. while running Exton|OS from a USB stick. You can't do it in VirtualBox/VMware. NVIDIA Proprietary Graphics Driver 610.57.04 is pre-installed. KERNEL Kernel 7.2.2-amd64-exton-os is used. -
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Xray_OS
Xray_OS is Angel's own normal Linux distro.
Xray_OS is an Arch Linux distribution dedicated to technical excellence over corporate agendas or intrusive guidelines. Delivered with Systemd-Liberated free from age-verification code or telemetry. Optimized for both workstations and gaming, Xray_OS includes its own low-latency BORE scheduler kernel (Linux Vita Kernel), NVIDIA autodetection, some DaVinci Resolve fixes for plasma, and full out-of-the-box support for Wayland, Xlibre, XFCE, Plasma, and SonicDE. Some users know about... -
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Ricks-Lab GPU Utilities
A set of utilities for monitoring and customizing GPU performance
...In order to get the maximum capability of these utilities, you should be running with a kernel that provides support for the GPUs you have installed. If using AMD GPUs, installing the latest AMD GPU driver or ROCm package may provide additional capabilities. If you have Nvidia GPUs installed, you should have Nvidia-smi installed in order for the utility reading of the cards to be possible. Writing to GPUs is currently only possible for compatible AMD GPUs on systems with appropriate kernel versions with the AMD ppfeaturemask set to enable this capability. -
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HanoiVM
HanoiVM is a recursive, AI-augmented ternary virtual machine
🚀 HanoiVM — Recursive Ternary Virtual Machine **HanoiVM** is a recursive, AI-augmented **ternary virtual machine** built on a symbolic base-81 architecture. It is the execution core of the **Axion + T81Lang** ecosystem, enabling stack-tier promotion, symbolic AI opcodes, and entropy-aware transformations across three levels of logic: - 🔹 `T81`: 81-bit operand logic (register-like) - 🔸 `T243`: Symbolic BigInt + FSM state logic - 🔺 `T729`: Tensor-based AI macros with semantic... -
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panda
Panda Linux (Arch Based)
...Download Etcher here: https://etcher.balena.io/#download-etcher Download Rufus here: https://rufus.ie/en/ Login details for the live user session: Username: isouser Password : isouser Nvidia users can install the latest Nvidia driver with the Nvidia-Installer utility. Look in the favourites section of the Panda menu for the Nvidia-Installer shortcut. Or simply download the 23.08.07-Nvidia release with the latest drivers pre-installed. Please report any issues with Panda Linux using the issues section of the project's Github page: https://github.com/pga256/Panda/issues or Join the discussion at: https://github.com/pga256/Panda/discussion -
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NVIDIA Container Toolkit
Build and run Docker containers leveraging NVIDIA GPUs
The NVIDIA Container Toolkit allows users to build and run GPU accelerated Docker containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPUs. Make sure you have installed the NVIDIA driver and Docker engine for your Linux distribution Note that you do not need to install the CUDA Toolkit on the host system, but the NVIDIA driver needs to be installed. -
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HybridLinux
Creates a Hybrid Linux distributive, based on Arch Linux, for desktop
A distribution that is designed to provide an optimized system for desktops and games and allows you to improve the gaming experience with system settings, making it the most optimized distribution -
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NBMiner
GPU Miner for ETH, RVN, BEAM, CFX, ZIL, AE, ERGO
nbminer.com & NBMiner_github are the only 2 officially maintained site for publishing information and new releases of NBMiner. Be aware when you download NBMiner binaries from other sources. For GPUs with Hynix GDDR6 memory, LHR mode is not recommended for the poor performance. Improve performance on Grin29 & AE. Add support for mining SERO, algo progpow_sero. Change devfee in percentage, [0-5]. Set to ‘0’ to turn off devfee with lower hash rate. Otherwise, devfee = max(set_value,... -
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Voice Cloning App
A Python/Pytorch app for easily synthesising human voices
...Firstly, you'll need to find a deep speech model for your language by going to coqui. You'll then need to download the model.pbmm and alphabet.txt files for your language. Requires Windows 10 or Ubuntu 20.04+ operating system, 5GB+ Disk space, and NVIDIA GPU with at least 4GB of memory & driver version 456.38+ (optional). Automatic dataset generation (with support for subtitles and audiobooks) Additional language support. Local & remote training. Easy train start/stop. Data importing/exporting.
