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(Windows version) How NVIDIA drivers and CUDA Toolkit are installed

Learn how to install NVIDIA drivers and CUDA Toolkit in a Windows environment.

目次

Installation target

softwarepurpose
NVIDIA GPU DriverBasic drivers to make your GPU work properly on Windows
CUDA ToolkitDevelopment tools required for GPU-based development (e.g., AI/deep learning) (nvcce.g., , cuBLAScuDNN , etc.)

Installation Instructions (Windows 10/11)

1. Check if your NVIDIA GPU is recognized correctly

  1. Win + X → Device Manager
  2. Check if the “Display Adapter” NVIDIA GeForce RTX XXXX is displayed.

2. Install official NVIDIA drivers

NVIDIA Driver Download Page
https://www.nvidia.co.jp/Download/index.aspx?lang=jp

If you already have it installed, you can check the current version by running the nvidia-smi command and checking from the Driver Version.

You can also install the NVIDIA app and check it from the app.
https://www.nvidia.com/ja-jp/software/nvidia-app/
Check from System >My Rig > Driver

Procedure:

  1. Select your GPU model number from the link above (e.g., GeForce RTX 5080)
  2. Choose a Windows OS version (e.g. 64-bit)
  3. Download the latest Game Ready Driver or Studio Driver
  4. .exe Run the file and follow the instructions of the installer
  5. restart

TIPS: Check “Clean Install” under “Custom Install” to completely remove the old drivers.

Search example)

Comparison summary

characteristicGame Ready DriverStudio Driver
Main applicationsGameplay/DevelopmentCreative work (video editing, modeling, AI, etc.)
Update FrequencyHigh (to match the game release)Low (stability-oriented)
stabilitySlightly lowerVery high
Base Driver Configurationidentityidentity
EligibilityGamers, game developersVideo Producers, Researchers, AI Engineers, etc.

Which one should you choose?

  • 🎮 Game-CentricGame Ready Driver
  • 🎨 Video editing, AI development, 3D production, etc.Studio Driver
  • If you want to do both → If you value stability, you can use Studio Driver (GRD can also be used Creative)

*Dual use is not possible
・Only one driver can be installed at a time.
・If you want to switch as needed, a clean install is recommended.

3. Installing CUDA Toolkit

CUDA Toolkit Download (Formula)
https://developer.nvidia.com/cuda-downloads

How to check if CUDA Toolkit is already installed on Windows or Linux
nvcc –version command. If installed, the version is displayed.

Example of command execution result)
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2022 NVIDIA Corporation
Built on Wed_Sep_21_10:41:10_Pacific_Daylight_Time_2022
Cuda compilation tools, release 11.8, V11.8.89
Build cuda_11.8.r11.8/compiler.xxxx

NVIDIA Blackwell architectures (such as the RTX 50 series) will provide full-featured support in the CUDA Toolkit 12.8 release.

Reference: NVIDIA Blog (CUDA Toolkit Now Available in NVIDIA Blackwell)
https://developer.nvidia.com/blog/cuda-toolkit-12-8-delivers-nvidia-blackwell-support

Reference: GeForce graphics card list
https://www.nvidia.com/ja-jp/geforce/graphics-cards/compare/

When selecting a CUDA version, it is necessary to consider the AI framework and GPU model to be used, the balance between stability and performance, and repeatability.

CUDA can be installed in parallel, so you can switch between multiple versions.

Reference: CUDA Installation Guide for Microsoft Windows
https://docs.nvidia.com/cuda/cuda-installation-guide-microsoft-windows/index.html

Installation folder example) Multiple versions are stored in the case of Windows
C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA

Installation Instructions:

  1. Select the OS as “Windows” → version (e.g., 10, 11)
  2. “exe (local)” recommended (works offline)
  3. After running the installer, select “Fast” or “Custom” to choose the features you want.
  4. After the installation is completed, the environment variables are automatically set (nvcc --versioncheck here)

If the download fails on the Google Chrome browser, you can try changing your browser, such as Microsoft Edge.

Example of selection)

Source: https://developer.nvidia.com/cuda-downloads

Confirmation of operation

NVIDIA Driver Check:

nvidia-smi

If you see the GPU model number, memory, and driver version, you are successful.

CUDA Confirmation:

Command Prompt or restart PowerShell to run the command.

nvcc --version

If the CUDA version (e.g. 12.9, etc.) is printed, it is fine.

Example of execution results)

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2025 NVIDIA Corporation
Built on Tue_May_27_02:24:01_Pacific_Daylight_Time_2025
Cuda compilation tools, release 12.9, V12.9.86
Build cuda_12.9.r12.9/compiler.36037853_0


*“Only one CUDA version enabled by the current environment variable (PATH)” is displayed. You cannot see a list of multiple versions.
*To use multiple nvcc at the same time, you need to respond to “specify a separate full path” or “temporarily switch environment variables“.

Checking CUDA Environment Variables

Windows search window> system prompts> advanced settings> environment variables>CUDA_PATH

Reference: Official reference

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