Comprehensive Guide to Installing PyTorch on Windows, Jetson Nano, and Ubuntu
This guide walks through the setup of PyTorch across three common environments: Windows (with CUDA), NVIDIA Jetson Nano (JetPack 4.6), and Ubuntu Linux. It covers driver installation, CUDA Toolkit, cuDNN, and final verification.
Windows Installation
1.1 Verify or Install NVIDIA Driver
The NVIDIA driver acts as the communication bridge betwee ...
Posted on Mon, 15 Jun 2026 15:59:59 +0000 by Johannes80
Parallel CUDA Installation and Version Management on Linux
When working with machine learning frameworks that depend on specific CUDA releases, maintaining multiple toolkit versions on a single Linux host becomes essential. Rather than removing existing installations, you can deploy additional releases alongside the primary version and toggle between them dynamically.
Installing an Additional CUDA Rele ...
Posted on Sat, 16 May 2026 11:23:29 +0000 by mcirl2
Installing TensorFlow 1.x and 2.x with CPU and GPU Support on Windows and Linux
Prerequisites and Overview
This guide covers the installation of TensorFlow versions 1.15 and 2.16.1 using the conda package manager. The procedures are consistent across Windows 10 and Ubuntu 22.04 LTS. It is updated as of March 2024. CPU and GPU configurations are detailed.
System and Software Requirements
1. Conda Installation
Install Anacon ...
Posted on Sat, 16 May 2026 03:14:38 +0000 by Noctule
Setting Up Darknet with YOLO on Ubuntu
GPU Driver Installation
Identify your NVIDIA GPU model and download the appropriate driver from NVIDIA's official site. For example, with a GTX 1080 Ti:
Remove any exisitng NVIDIA drivers:
sudo apt-get remove --purge nvidia\*
Disable the open-source nouveau driver by creating a blacklist file:
sudo tee /etc/modprobe.d/blacklist-nouveau.conf &l ...
Posted on Fri, 08 May 2026 10:06:42 +0000 by yuws