【Linux】CUDA Toolkit和cuDNN版本对应关系（更新至2022年6月，附官网永久更新链接）
目录
- 一、前言
- 二、对应关系
- 三、如何使用
- 四、总结
- 五、参考
一、前言
NVIDIA® CUDA® Toolkit 为创建高性能 GPU 加速应用程序提供了一个开发环境。借助 CUDA 工具包，您可以在 GPU 加速的嵌入式系统、桌面工作站、企业数据中心、基于云的平台和 HPC 超级计算机上开发、优化和部署您的应用程序。该工具包包括 GPU 加速库、调试和优化工具、C/C++ 编译器以及用于部署应用程序的运行时库。
全球的深度学习研究人员和框架开发人员都依赖cuDNN来实现高性能GPU加速。它使他们可以专注于训练神经网络和开发软件应用程序，而不必花时间在底层GPU性能调整上。
本篇博客记录了了CUDA Toolkit 和cuDNN的版本对应关系，并给出了下载官网的地址，一些初学者可能需要这份版本对应关系表，下载之前可能需要注册一个账号。
二、对应关系
-
cuDNN官网下载地址：https://developer.nvidia.com/rdp/cudnn-archive
-
CUDA 工具包下载地址：https://developer.nvidia.com/cuda-toolkit-archive
-
官网可查对应关系：
| cuDNN | CUDA |
|---|---|
| cuDNN v8.4.0 (April 1st, 2022) | CUDA 11.x |
| cuDNN v8.4.0 (April 1st, 2022) | CUDA 10.2 |
| cuDNN v8.3.3 (March 18th, 2022) | CUDA 11.5 |
| cuDNN v8.3.3 (March 18th, 2022) | CUDA 10.2 |
| cuDNN v8.3.2 (January 10th, 2022) | CUDA 11.5 |
| cuDNN v8.3.2 (January 10th, 2022) | CUDA 10.2 |
| cuDNN v8.3.1 (November 22nd, 2021) | CUDA 11.5 |
| cuDNN v8.3.1 (November 22nd, 2021) | CUDA 10.2 |
| cuDNN v8.3.0 (November 3rd, 2021) | CUDA 11.5 |
| cuDNN v8.3.0 (November 3rd, 2021) | CUDA 10.2 |
| cuDNN v8.2.4 (September 2nd, 2021) | CUDA 11.4 |
| cuDNN v8.2.4 (September 2nd, 2021) | CUDA 10.2 |
| cuDNN v8.2.2 (July 6th, 2021) | CUDA 11.4 |
| cuDNN v8.2.2 (July 6th, 2021) | CUDA 10.2 |
| cuDNN v8.2.1 (June 7th, 2021) | CUDA 11.x |
| cuDNN v8.2.1 (June 7th, 2021) | CUDA 10.2 |
| cuDNN v8.2.0 (April 23rd, 2021) | CUDA 11.x |
| cuDNN v8.2.0 (April 23rd, 2021) | CUDA 10.2 |
| cuDNN v8.1.1 (Feburary 26th, 2021) | CUDA 11.0,11.1 and 11.2 |
| cuDNN v8.1.1 (Feburary 26th, 2021) | CUDA 10.2 |
| cuDNN v8.1.0 (January 26th, 2021) | CUDA 11.0,11.1 and 11.2 |
| cuDNN v8.1.0 (January 26th, 2021) | CUDA 10.2 |
| cuDNN v8.0.5 (November 9th, 2020) | CUDA 11.1 |
| cuDNN v8.0.5 (November 9th, 2020) | CUDA 11.0 |
| cuDNN v8.0.5 (November 9th, 2020) | CUDA 10.2 |
| cuDNN v8.0.5 (November 9th, 2020) | CUDA 10.1 |
| cuDNN v8.0.4 (September 28th, 2020) | CUDA 11.1 |
| cuDNN v8.0.4 (September 28th, 2020) | CUDA 11.0 |
| cuDNN v8.0.4 (September 28th, 2020) | CUDA 10.2 |
| cuDNN v8.0.4 (September 28th, 2020) | CUDA 10.1 |
| cuDNN v8.0.3 (August 26th, 2020) | CUDA 11.0 |
| cuDNN v8.0.3 (August 26th, 2020) | CUDA 10.2 |
| cuDNN v8.0.3 (August 26th, 2020) | CUDA 10.1 |
| cuDNN v8.0.2 (July 24th, 2020) | CUDA 11.0 |
| cuDNN v8.0.2 (July 24th, 2020) | CUDA 10.2 |
| cuDNN v8.0.2 (July 24th, 2020) | CUDA 10.1 |
| cuDNN v8.0.1 RC2 (June 26th, 2020) | CUDA 11.0 |
| cuDNN v8.0.1 RC2 (June 26th, 2020) | CUDA 10.2 |
| cuDNN v7.6.5 (November 18th, 2019) | CUDA 10.2 |
| cuDNN v7.6.5 (November 5th, 2019) | CUDA 10.1 |
| cuDNN v7.6.5 (November 5th, 2019) | CUDA 10.0 |
| cuDNN v7.6.5 (November 5th, 2019) | CUDA 9.2 |
| cuDNN v7.6.5 (November 5th, 2019) | CUDA 9.0 |
| cuDNN v7.6.4 (September 27, 2019) | CUDA 10.1 |
| cuDNN v7.6.4 (September 27, 2019) | CUDA 10.0 |
| cuDNN v7.6.4 (September 27, 2019) | CUDA 9.2 |
| cuDNN v7.6.4 (September 27, 2019) | CUDA 9.0 |
| cuDNN v7.6.3 (August 23, 2019) | CUDA 10.1 |
| cuDNN v7.6.3 (August 23, 2019) | CUDA 10.0 |
| cuDNN v7.6.3 (August 23, 2019) | CUDA 9.2 |
| cuDNN v7.6.3 (August 23, 2019) | CUDA 9.0 |
| cuDNN v7.6.2 (July 22, 2019) | CUDA 10.1 |
| cuDNN v7.6.2 (July 22, 2019) | CUDA 10.0 |
| cuDNN v7.6.2 (July 22, 2019) | CUDA 9.2 |
| cuDNN v7.6.2 (July 22, 2019) | CUDA 9.0 |
| cuDNN v7.6.1 (June 24, 2019) | CUDA 10.1 |
| cuDNN v7.6.1 (June 24, 2019) | CUDA 10.0 |
| cuDNN v7.6.1 (June 24, 2019) | CUDA 9.2 |
| cuDNN v7.6.1 (June 24, 2019) | CUDA 9.0 |
| cuDNN v7.6.0 (May 20, 2019) | CUDA 10.1 |
| cuDNN v7.6.0 (May 20, 2019) | CUDA 10.0 |
| cuDNN v7.6.0 (May 20, 2019) | CUDA 9.2 |
| cuDNN v7.6.0 (May 20, 2019) | CUDA 9.0 |
| cuDNN v7.5.1 (April 22, 2019) | CUDA 10.1 |
| cuDNN v7.5.1 (April 22, 2019) | CUDA 10.0 |
| cuDNN v7.5.1 (April 22, 2019) | CUDA 9.2 |
| cuDNN v7.5.1 (April 22, 2019) | CUDA 9.0 |
| cuDNN v7.5.0 (Feb 25, 2019) | CUDA 10.1 |
| cuDNN v7.5.0 (Feb 21, 2019) | CUDA 10.0 |
| cuDNN v7.5.0 (Feb 21, 2019) | CUDA 9.2 |
| cuDNN v7.5.0 (Feb 21, 2019) | CUDA 9.0 |
| cuDNN v7.4.2 (Dec 14, 2018) | CUDA 10.0 |
| cuDNN v7.4.2 (Dec 14, 2018) | CUDA 9.2 |
| cuDNN v7.4.2 (Dec 14, 2018) | CUDA 9.0 |
| cuDNN v7.4.1 (Nov 8, 2018) | CUDA 10.0 |
| cuDNN v7.4.1 (Nov 8, 2018) | CUDA 9.2 |
| cuDNN v7.4.1 (Nov 8, 2018) | CUDA 9.0 |
| cuDNN v7.3.1 (Sept 28, 2018) | CUDA 10.0 |
| cuDNN v7.3.1 (Sept 28, 2018) | CUDA 9.2 |
| cuDNN v7.3.1 (Sept 28, 2018) | CUDA 9.0 |
| cuDNN v7.3.0 (Sept 19, 2018) | CUDA 10.0 |
| cuDNN v7.3.0 (Sept 19, 2018) | CUDA 9.0 |
| cuDNN v7.2.1 (August 7, 2018) | CUDA 9.2 |
| cuDNN v7.1.4 (May 16, 2018) | CUDA 9.2 |
| cuDNN v7.1.4 (May 16, 2018) | CUDA 9.0 |
| cuDNN v7.1.4 (May 16, 2018) | CUDA 8.0 |
| cuDNN v7.1.3 (April 17, 2018) | CUDA 9.1 |
| cuDNN v7.1.3 (April 17, 2018) | CUDA 9.0 |
| cuDNN v7.1.3 (April 17, 2018) | CUDA 8.0 |
| cuDNN v7.1.2 (Mar 21, 2018) | CUDA 9.1 & 9.2 |
| cuDNN v7.1.2 (Mar 21, 2018) | CUDA 9.0 |
| cuDNN v7.0.5 (Dec 11, 2017) | CUDA 9.1 |
| cuDNN v7.0.5 (Dec 5, 2017) | CUDA 9.0 |
| cuDNN v7.0.5 (Dec 5, 2017) | CUDA 8.0 |
| cuDNN v7.0.4 (Nov 13, 2017) | CUDA 9.0 |
| cuDNN v6.0 (April 27, 2017) | CUDA 8.0 |
| cuDNN v6.0 (April 27, 2017) | CUDA 7.5 |
| cuDNN v5.1 (Jan 20, 2017) | CUDA 8.0 |
| cuDNN v5.1 (Jan 20, 2017) | CUDA 7.5 |
| cuDNN v5 (May 27, 2016) | CUDA 8.0 |
| cuDNN v5 (May 12, 2016) | CUDA 7.5 |
| cuDNN v4 (Feb 10, 2016) | CUDA 7.0 and later. |
| cuDNN v3 (September 8, 2015) | CUDA 7.0 and later. |
| cuDNN v2 (March 17,2015) | CUDA 6.5 and later. |
| cuDNN v1 (cuDNN 6.5 R1) |
三、如何使用
安装流程参考：
- 【Linux】安装CUDA 11.2 和 cuDNN 8.4.0并检查是否安装成功
四、总结
- CUDA Toolkit 和cuDNN的版本对应关系很重要，是正确利用GPU计算资源的关键。
如果本文能给你带来帮助的话，点个赞鼓励一下作者吧！
五、参考
[1] cuDNN 官网下载地址：https://developer.nvidia.com/rdp/cudnn-archive
[2] CUDA 工具包下载地址：https://developer.nvidia.com/cuda-toolkit-archive