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Zero to AI Ready PC in One Click Windows and Ubuntu AI Requirements Installer Full Tutorial

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FurkanGozukara edited this page Oct 17, 2026 · 1 revision

Zero to AI-Ready PC in One Click: Windows & Ubuntu AI Requirements Installer Full Tutorial

Full tutorial link > https://www.youtube.com/watch?v=ptuLL0C72Ms

Zero to AI-Ready PC in One Click: Windows & Ubuntu AI Requirements Installer Full Tutorial

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The 1-Click Windows and Ubuntu AI Requirements Installers set up your PC for AI apps such as ComfyUI, SwarmUI, music, text-to-speech and text-to-3D tools: one click on Windows, one command on Ubuntu. They install the latest NVIDIA driver, CUDA 12.9 + 13.2, cuDNN 9.20, Python 3.10-3.14, the C++ build tools, Git, Node.js, .NET SDK and FFmpeg, set PATH in the right order, test everything for real (78 Windows and 66 Ubuntu tests passed on our test PCs) and show every result in a detailed HTML report.

Links:

Download the installers (latest zip) and the full guide: [ https://www.patreon.com/SECourses/posts/1-click-windows-172290854 ]

Previous manual method (older Windows requirements tutorial): [ https://youtu.be/DrhUHnYfwC0 ]

SECourses Discord for help (send your logs.txt): [ https://discord.com/invite/software-engineering-courses-secourses-772774097734074388 ]

You will learn how to extract the zip in your Downloads folder, run the Windows installer as administrator, follow its 20 steps, read the HTML report and logs.txt, run the Ubuntu installer with one sudo command, and rerun either installer to repair or update your setup.

Main topics include 1-click AI PC setup, CUDA and cuDNN, Python 3.10-3.14, Visual Studio C++ Build Tools, PATH order, torch.compile and Triton readiness, FFmpeg for torchcodec, Ubuntu 22.04/24.04/26.04 and real install tests.

Use the chapters to jump to the download, the Windows steps, the HTML report, the Ubuntu installer and updates.

Chapters:

00:00:00 One click sets up your PC for AI: all tests passed

00:00:17 Windows 10, 11 and Ubuntu 22, 24, 26: ready for any AI app

00:01:03 Download the latest zip and extract it in Downloads

00:01:19 Right-click the .bat and choose Run as administrator

00:01:38 The 20 steps begin: long paths, Store Python removed

00:01:50 CUDA 12.9 + 13.2 toolkits, then cuDNN for PyTorch

00:02:14 Visual Studio 2022 Build Tools and the VC++ runtime

00:02:43 Python 3.10 to 3.14, with 3.12 as the default

00:03:12 Git, Node.js 24, .NET SDK and FFmpeg

00:03:48 PATH order, Git long paths and the page file

00:04:09 Triton cache, NVIDIA driver and the final tests

00:04:32 The HTML report: 78 tests, every step, PATH and backups

00:05:13 Transparent source files, logs.txt, then restart Windows

00:06:05 Ubuntu 22.04, 24.04, 26.04: one sudo command

00:07:00 Rerun any time to update; GCC, Clang, CMake, Ninja

00:07:46 Ubuntu report: OK messages, warnings and logs.txt

00:08:54 One-time setup, ready for our apps and other AI apps

00:09:30 Latest installer version, the guide post and support

What it installs on Windows: the latest compatible NVIDIA WHQL driver for GeForce RTX 20-series and newer (checked on every run, never downgraded); Python 3.10 to 3.14 for all users, 3.12 as default; CUDA 12.9 and 13.2 side by side (13.2 default) and cuDNN 9.20, the only cuDNN registered, so PyTorch never mixes two versions; Visual Studio 2022 Build Tools (MSVC, Windows SDK) that keep compiling after Visual Studio updates, the latest Visual C++ runtime and CUDA integration; Git, Node.js 24, .NET 10 SDK for SwarmUI, FFmpeg 9 shared and static; PATH in the right order with your own entries kept, long paths, a 100 GB page file. Ready for torch.compile, Triton and flash-attention, sage-attention, xformers and insightface builds.

On Ubuntu the C++ tools are GCC, Clang, CMake and Ninja, plus Git LFS, uv, free-threaded Python 3.13t and 3.14t and a swap file. With an NVIDIA GPU it installs the newest driver Ubuntu offers and never downgrades it. Ubuntu's own python3 stays as it is.

Windows: put the zip in Downloads (not directly on C:), extract it, right-click Windows_AI_Requirements_Installer.bat and choose Run as administrator. Nothing has to be installed first. Ubuntu: open a terminal in the folder and run sudo bash ./Ubuntu_AI_Requirements_Installer.sh (24.04 recommended).

Afterwards the HTML report opens and logs.txt is saved next to the installer. Restart your PC and open a new terminal for the new PATH. You need this setup only once, not for every app. When the post shows a newer version, run the new one: finished parts are only checked, failed parts are repaired and components are updated, with backups first (--restore-env puts them back).

Tested for real: the tests compile and start C++ and CUDA programs, build Python and PyTorch-style CUDA extensions, compile GPU code for RTX 50 cards, encode a video and build a .NET app, in the environment a new terminal gets; the optional PyTorch GPU test runs with --torch-test. Supported: Windows 10 (21H2+) and 11; Ubuntu 22.04, 24.04 and 26.04 (desktop, server, cloud GPU, WSL2, Linux Mint, Zorin OS), 64-bit x86. Without an NVIDIA GPU everything still installs and compiling works; CUDA apps need an NVIDIA GPU.

This video is for anyone who wants to run AI apps locally without installing CUDA, Python and C++ tools by hand.

For support, questions or installation issues, check the links above, the pinned comment, Patreon, Discord and the video comments, and send your logs.txt if a step fails. Thank you for watching.

Video Transcription

  • 00:00:08 Greetings everyone. Today I am going to  show you 1-click requirements installer  

  • 00:00:14 that I have developed in more than 1 week. These  installers will work on Windows 10, Windows 11,  

  • 00:00:23 Ubuntu 22, Ubuntu 24, and Ubuntu 26. So today  I will show you how to use these installers to  

  • 00:00:34 set up your PC and make it ready to run any AI  application that you can think of, like ComfyUI,  

  • 00:00:42 SwarmUI, music generation tools, text-to-3D tools,  text-to-speech tools, anything. Simply anything,  

  • 00:00:51 any AI application will run smoothly with the best  performance. Moreover, this is not dependent on  

  • 00:00:59 your GPU, it will work with any GPU that you have.  So as usual, the link will be in the description  

  • 00:01:05 below. Download the latest zip file, let's  download the requirements installer zip file. Put  

  • 00:01:11 the zip file into Downloads folder. Do not use the  C drive directly, and then extract it like this.  

  • 00:01:19 Then all you need to do is right-click and  Run as administrator Windows AI Requirements  

  • 00:01:27 .bat file. None of my applications requires  running as administrator except this one,  

  • 00:01:34 because this is going to set up everything that  you need. The first thing the application does  

  • 00:01:40 is setting Windows long paths. The second thing  it does is removing the Microsoft Store installed  

  • 00:01:48 Python to not have any issues. The third thing  it does is installing the CUDA toolkits 12 and 13  

  • 00:01:56 and setting up everything automatically for you.  Once the CUDA installation has been completed,  

  • 00:02:02 it will install the cuDNN. This is the version  that Torch 2.13 is using. When we move to Torch  

  • 00:02:11 2.14, we will install that version. Then  it installs Visual Studio 2022 Build Tools,  

  • 00:02:19 but with minimal necessary amount, so this will  take much lesser space compared to our previous  

  • 00:02:26 strategy, previous tutorial. Then it will  install Microsoft Visual C++ Redistributable.  

  • 00:02:32 This is also with minimal amount of necessary  code to be able to compile and run everything,  

  • 00:02:37 like torch.compile and other stuff. Then it will  make the CUDA Visual Studio integration properly.  

  • 00:02:43 Then it will install Python 3.10, 11, 12, 13, and  14, latest versions, they will be all set, the  

  • 00:02:52 default will be Python 3.12. So currently we are  using Python 3.12 default. However, don't worry,  

  • 00:02:59 all of my new applications generates a virtual  environment with the accurate Python version that  

  • 00:03:06 it is going to use. So you see it sets default  Python as 3.12 here, then it installs the Git to  

  • 00:03:13 be able to clone and install repositories, then  it installs Node.js 24. This is also necessary  

  • 00:03:21 for some applications like Ostris AI Toolkit to  train models. Then it installs .NET SDK. This is  

  • 00:03:28 necessary for SwarmUI and some other applications  in future possibly. It installs the latest FFmpeg,  

  • 00:03:35 both shared and static. Shared is used  in some rare cases to be able to run,  

  • 00:03:42 compile some applications, and static is the main  used FFmpeg in all applications. Then it sets all  

  • 00:03:49 the system and user PATH environment values  fully automatically. It keeps your existing  

  • 00:03:54 values and just adds the new ones into accurate  positions, then it enables Git long paths,  

  • 00:04:01 and it sets virtual memory. This is important,  some people are missing this or forgetting this,  

  • 00:04:07 this is really important to set up. Then it clears  your Triton cache, and it installs latest NVIDIA  

  • 00:04:13 driver if you have a NVIDIA GPU. Currently this  system doesn't have it, so it didn't install.  

  • 00:04:19 Then it does run some tests, as you are seeing  right now, to verify all the installations are  

  • 00:04:24 accurate. And in the end, it generates an HTML  file that will show you all the results. So now  

  • 00:04:32 I'm opening it. So this is the Windows AI  Requirements Installer results HTML file.  

  • 00:04:38 You will be able to see all the results of your  all installations in this file. You can scroll  

  • 00:04:44 and see. It also shows the messages if there are  any errors or not, so you can see all the results  

  • 00:04:51 here. And it also shows all the system paths that  it did add or the user paths that it did add,  

  • 00:04:58 or the other paths it set ups. Everything is also  backed up, so if an error occurs you can see your  

  • 00:05:05 older existing stuff as well. So read this HTML  file to see everything that this application,  

  • 00:05:12 this installer does. The files are full secure  because you can examine the content. For example,  

  • 00:05:18 let me open the installer Python file. You don't  need to have Python installed to be able to run  

  • 00:05:25 this application, it is all automatically done.  This is a very fresh computer, so let me open  

  • 00:05:31 with Notepad, and I will just drag and drop  it to show you the content of this file. So  

  • 00:05:38 you can read the entire file, everything is fully  transparent. Moreover, in the place that you run  

  • 00:05:44 the application, there will be logs, so you can  see all the logs here as well. If any errors, you  

  • 00:05:50 can message me the logs, and the result HTML file  will be also generated here if you want to open  

  • 00:05:56 it. So this is the Windows installation. After the  installation, make sure to restart your computer  

  • 00:06:02 so everything will be fully set up and ready. Now  I will show how to run Ubuntu installation. Okay,  

  • 00:06:09 so I got the files inside Ubuntu 24 machine. We  support 22 and 26 as well. However, I recommend  

  • 00:06:19 you to use Ubuntu 24 at the moment. It is the most  mature and most compatible Linux version right  

  • 00:06:28 now to run AI applications. So, in the files,  open Run_Ubuntu_AI_Requirements_Installer.txt  

  • 00:06:35 file and copy this command, like this. Then  open a terminal in here, in the same folder,  

  • 00:06:42 right-click and paste. It will ask your sudo  password, so I will just enter my password,  

  • 00:06:48 hit Enter, and that's it. It will do fully  automatic installation like it did in the  

  • 00:06:54 Windows requirements part, everything will be  fully automatically installed, handled, set  

  • 00:06:59 up. You can run both Windows installer file and  Linux installer file multiple times. It is made  

  • 00:07:07 like that, so whenever there is a newer update in  the files, just run it again and it should fix and  

  • 00:07:13 upgrade all the installation automatically for you  for both Windows and Linux installation. As you  

  • 00:07:18 can see, Linux is also installing same files but  with Linux version. So you see compilers, build  

  • 00:07:26 tools, GCC, Clang, CMake, Ninja, and all other  stuff, everything is automatically installed,  

  • 00:07:32 and you will be able to use all of my applications  with Massed Compute installers, so that you won't  

  • 00:07:39 have any issues with any of my AI applications or  any AI applications that you install from anywhere  

  • 00:07:45 else. So the Linux setup also completed. It took  only 13 minutes to complete everything. Depending  

  • 00:07:52 on your internet speed and the disk speed, it  can be much faster or slower. Again, we got a  

  • 00:07:58 full report that shows everything that has been  installed, if there are any errors or not. You  

  • 00:08:04 can see everything, just scroll down slowly, check  out the warnings and check out the OK messages. If  

  • 00:08:12 there are any errors, you will see full details  exist in this report. If you get any errors,  

  • 00:08:18 unexpected errors, you can of course message  me the log file, you see the logs.txt file,  

  • 00:08:25 and I can hopefully fix it as soon as possible.  You shouldn't get, because I literally spent  

  • 00:08:31 over 1 week to build this script. Therefore, it is  extremely robust, advanced, it covers so many edge  

  • 00:08:40 cases, so it should be just fine. As I have shown  in Windows tutorial part, everything is fully  

  • 00:08:46 transparent. You can just open the files and look  at the content, so everything is transparent as I  

  • 00:08:53 mentioned. After you have done this setup, you  will be able to use all of the AI applications  

  • 00:08:59 that I develop or other people develops, because  this literally installs everything necessary,  

  • 00:09:06 and this is result of years of experience. I  have been working in generative AI since 2022,  

  • 00:09:13 so I have accumulated some experience, and you  should be just fine after doing this setup.  

  • 00:09:20 The requirement setup is only just 1 time  necessary until we change something. So you don't  

  • 00:09:25 need to run this every time that you are going to  install a new application or anything. When you  

  • 00:09:30 check out the post, that you will see the last  update date, the last zip file. So in the post,  

  • 00:09:37 when you are watching this video, you will see the  version of the installer, and whenever something  

  • 00:09:42 new is necessary, I will update this zip file.  You can also read this post and read all the  

  • 00:09:48 information here. It will be very useful for  you to read and learn what is we are installing,  

  • 00:09:54 why we need them. So, check out this post as well.  If you have any questions, always message me from  

  • 00:10:01 Discord, Patreon, or leave a YouTube comment,  and hopefully see you in next tutorial video.

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