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  1. CUDA Toolkit 13.0 Downloads - NVIDIA Developer

    CUDA Toolkit 13.0 Downloads Select Target Platform Click on the green buttons that describe your target platform. Only supported platforms will be shown. By downloading and using the software, you …

  2. CUDA Toolkit 12.8 Downloads - NVIDIA Developer

    CUDA Toolkit 12.8 Downloads Select Target Platform Click on the green buttons that describe your target platform. Only supported platforms will be shown. By downloading and using the software, you …

  3. Ubuntu 24.04 LTS如何安装Nvidia显卡驱动、CUDA、NVIDIA Container …

    Mar 11, 2025 · Ubuntu 24.04 LTS如何安装Nvidia显卡驱动、CUDA、NVIDIA Container Toolkit套件 1、安装Nvidia显卡驱动 若有Nvidia显卡,Ubuntu系统会安装开源的nouveau驱动,用指令sudo lshw -C …

  4. agahgok/Installing-CUDA-and-cuDNN-on-Windows - GitHub

    Jun 8, 2025 · Hello everyone, In this guide, I’ll show you how to install and test NVIDIA’s CUDA Toolkit and cuDNN on your Windows machine. First, let’s briefly explain what these technologies are: CUDA …

  5. cuda-installation-guide-linux 12.1 documentation

    NVIDIA CUDA Installation Guide for Linux The installation instructions for the CUDA Toolkit on Linux. 1. Introduction CUDA ® is a parallel computing platform and programming model invented by NVIDIA …

  6. UbuntuでCUDAをインストールする完全ガイド【初心者向け】

    Dec 6, 2025 · UbuntuでCUDAをインストールする初心者向け完全ガイド。NVIDIA GPUの対応確認からUbuntuバージョンチェック、ステップバイステップの手順を詳しく解説。機械学習やディープ …

  7. How to Install Triton and SageAttention on Windows

    Feb 20, 2025 · Step-by-step guide to installing Triton on Windows using the triton-windows fork, including setup and troubleshooting tips.

  8. 自分の GPU に合わせた PyTorch + CUDA インストール - Zenn

    Jul 19, 2025 · ウチコさんによる記事 まとめ nvidia-smi で CUDA 上限を確認 そのバージョン以下で最新の wheel(cuXXX)を選択 公式ウィザードの pip / conda コマンドを実行 Python で …

  9. Install spaCy · spaCy Usage Documentation

    spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.

  10. pytorch/pytorch - GitHub

    To install it onto an already installed CUDA run CUDA installation once again and check the corresponding checkbox. Make sure that CUDA with Nsight Compute is installed after Visual Studio.