一. 升级版本之前先了解一下CUDA的兼容性
The NVIDIA® CUDA® Toolkit enables developers to build NVIDIA GPU accelerated compute applications for desktop computers, enterprise, and data centers to hyperscalers. It consists of the CUDA compiler toolchain including the CUDA runtime (cudart) and various CUDA libraries and tools. To build an application, a developer has to install only the CUDA Toolkit and necessary libraries required for linking.
In order to run a CUDA application, the system should have a CUDA enabled GPU and an NVIDIA display driver that is compatible with the CUDA Toolkit that was used to build the application itself. If the application relies on dynamic linking for libraries, then the system should have the right version of such libraries as well.
NVIDIA® CUDA® Toolkit使开发人员能够为桌面计算机、企业和数据中心到超大规模计算提供 NVIDIA GPU 加速的计算应用程序。它包括 CUDA 编译器工具链，包括 CUDA 运行时（cudart）和各种 CUDA 库和工具。要构建一个应用程序，开发人员只需安装 CUDA 工具包和链接所需的必要库。要运行CUDA应用程序，系统应具有支持CUDA的GPU，并且具有与用于构建应用程序的CUDA工具包兼容的NVIDIA显示驱动程序。如果应用程序依赖于动态链接的库，那么系统还应具有正确版本的这些库。
Figure 1. Components of CUDA
2、通常，升级CUDA Toolkit 涉及升级工具包和驱动程序（both the toolkit and the driver），以获取最新的工具包和驱动程序功能。
Every CUDA toolkit also ships with an NVIDIA display driver package for convenience. This driver supports all the features introduced in that version of the CUDA Toolkit. Please check the toolkit and driver version mapping in the release notes. The driver package includes both the user mode CUDA driver (libcuda.so) and kernel mode components necessary to run the application.
Typically, upgrading aCUDA Toolkit involves upgrading both the toolkit and the driver to get the bleeding edge toolkit and driver capabilities.
二. 升级版本实操
1.查看本机显卡型号
电脑搜索NVIDIA, 调出控制面板如下，eg：GTX 1660ti。
2. 查看显卡硬件对应的驱动版本
如本文的GTX1660Ti，
https://www.nvidia.cn/download/driverResults.aspx/224288/cn/结果如下：
3 查看显卡驱动版本下对应的CUDA版本
如GTX1660Ti，对应的最高驱动版本为552.22，基于此查找对应的CUDA版本，官网链接如下
CUDA 12.4 Update 1 Release Notes
Using a Minimum Required Version that is different from Toolkit Driver Version could be allowed in compatibility mode -- please read the CUDA Compatibility Guide for details.
** CUDA 11.0 was released with an earlier driver version, but by upgrading to Tesla Recommended Drivers 450.80.02 (Linux) / 452.39 (Windows), minor version compatibility is possible across the CUDA 11.x family of toolkits.
The version of the development NVIDIA GPU Driver packaged in each CUDA Toolkit release is shown below.
| CUDA Toolkit | Toolkit Driver Version | |
|---|---|---|
| Linux x86_64 Driver Version | Windows x86_64 Driver Version | |
| CUDA 12.4 Update 1 | >=550.54.15 | >=551.78 |
| CUDA 12.4 GA | >=550.54.14 | >=551.61 |
| CUDA 12.3 Update 1 | >=545.23.08 | >=546.12 |
| CUDA 12.3 GA | >=545.23.06 | >=545.84 |
| CUDA 12.2 Update 2 | >=535.104.05 | >=537.13 |
| CUDA 12.2 Update 1 | >=535.86.09 | >=536.67 |
| CUDA 12.2 GA | >=535.54.03 | >=536.25 |
| CUDA 12.1 Update 1 | >=530.30.02 | >=531.14 |
| CUDA 12.1 GA | >=530.30.02 | >=531.14 |
| CUDA 12.0 Update 1 | >=525.85.12 | >=528.33 |
| CUDA 12.0 GA | >=525.60.13 | >=527.41 |
| CUDA 11.8 GA | >=520.61.05 | >=520.06 |
| CUDA 11.7 Update 1 | >=515.48.07 | >=516.31 |
| CUDA 11.7 GA | >=515.43.04 | >=516.01 |
| CUDA 11.6 Update 2 | >=510.47.03 | >=511.65 |
| CUDA 11.6 Update 1 | >=510.47.03 | >=511.65 |
| CUDA 11.6 GA | >=510.39.01 | >=511.23 |
| CUDA 11.5 Update 2 | >=495.29.05 | >=496.13 |
| CUDA 11.5 Update 1 | >=495.29.05 | >=496.13 |
| CUDA 11.5 GA | >=495.29.05 | >=496.04 |
| CUDA 11.4 Update 4 | >=470.82.01 | >=472.50 |
| CUDA 11.4 Update 3 | >=470.82.01 | >=472.50 |
| CUDA 11.4 Update 2 | >=470.57.02 | >=471.41 |
| CUDA 11.4 Update 1 | >=470.57.02 | >=471.41 |
| CUDA 11.4.0 GA | >=470.42.01 | >=471.11 |
| CUDA 11.3.1 Update 1 | >=465.19.01 | >=465.89 |
| CUDA 11.3.0 GA | >=465.19.01 | >=465.89 |
| CUDA 11.2.2 Update 2 | >=460.32.03 | >=461.33 |
| CUDA 11.2.1 Update 1 | >=460.32.03 | >=461.09 |
| CUDA 11.2.0 GA | >=460.27.03 | >=460.82 |
| CUDA 11.1.1 Update 1 | >=455.32 | >=456.81 |
| CUDA 11.1 GA | >=455.23 | >=456.38 |
| CUDA 11.0.3 Update 1 | >= 450.51.06 | >= 451.82 |
| CUDA 11.0.2 GA | >= 450.51.05 | >= 451.48 |
| CUDA 11.0.1 RC | >= 450.36.06 | >= 451.22 |
| CUDA 10.2.89 | >= 440.33 | >= 441.22 |
| CUDA 10.1 (10.1.105 general release, and updates) | >= 418.39 | >= 418.96 |
| CUDA 10.0.130 | >= 410.48 | >= 411.31 |
| CUDA 9.2 (9.2.148 Update 1) | >= 396.37 | >= 398.26 |
| CUDA 9.2 (9.2.88) | >= 396.26 | >= 397.44 |
| CUDA 9.1 (9.1.85) | >= 390.46 | >= 391.29 |
| CUDA 9.0 (9.0.76) | >= 384.81 | >= 385.54 |
| CUDA 8.0 (8.0.61 GA2) | >= 375.26 | >= 376.51 |
| CUDA 8.0 (8.0.44) | >= 367.48 | >= 369.30 |
| CUDA 7.5 (7.5.16) | >= 352.31 | >= 353.66 |
| CUDA 7.0 (7.0.28) | >= 346.46 | >= 347.62 |
| [Table 3 CUDA Toolkit and Corresponding Driver Versions] |
4 安装更新驱动版本（一键更新完成）
