Update cuda.md, replace cuda 12.2 with 12.4 (#1238)

* Update cuda.md, replace cuda 12.2 by 12.5

Cuda 12.2 is deprecated, and display nasty warning.

the driver version 555 is currently 6 day old.

the driver version 550 was built on top of cuda 12.4.

* replace cuda 12.5 by 12.4

---------

Co-authored-by: thomas-zimmerman <[email protected]>

content/cuda.md

@@ -30,7 +30,7 @@ The `nvidia-cuda-toolkit` package is [maintained by Ubuntu](https://packages.ubu
 
 The `nvidia-container-toolkit` package uses Docker containers to allow alternate versions of the CUDA libraries to be installed alongside the one included with the NVIDIA driver. You can see the different Docker images that are published by NVIDIA here: <https://hub.docker.com/r/nvidia/cuda/>
 
-This example installs a development enviroment with CUDA version 12.1.
+This example installs a development enviroment with CUDA version 12.4.
 
 #### Install Software
 
@@ -70,15 +70,15 @@ sudo systemctl restart docker
 Run this command to check the Docker configuration for CUDA:
 
 ```bash
-docker run --rm --runtime=nvidia --gpus all nvidia/cuda:12.1.0-devel-ubuntu22.04 nvidia-smi
+docker run --rm --runtime=nvidia --gpus all nvidia/cuda:12.4.0-devel-ubuntu22.04 nvidia-smi
 ```
 
 The output displays the CUDA version supported by the container:
 
 ```
-Thu Mar 23 14:43:51 2023       
+Thu Jun 13 14:43:51 2024       
 +-----------------------------------------------------------------------------+
-| NVIDIA-SMI 525.89.02    Driver Version: 525.89.02    CUDA Version: 12.1     |
+| NVIDIA-SMI 550.67.      Driver Version: 550.67       CUDA Version: 12.4     |
 |-------------------------------+----------------------+----------------------+
 | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
 | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
@@ -102,26 +102,26 @@ Thu Mar 23 14:43:51 2023
 Start a shell within the container:
 
 ```bash
-docker run -it --rm --runtime=nvidia --gpus all nvidia/cuda:12.1.0-devel-ubuntu22.04 bash
+docker run -it --rm --runtime=nvidia --gpus all nvidia/cuda:12.4.0-devel-ubuntu22.04 bash
 ```
 
 Commands can then be run with CUDA support:
 
 ```shell
 root@5397e7ea7f57:/# nvcc --version
 nvcc: NVIDIA (R) Cuda compiler driver
-Copyright (c) 2005-2023 NVIDIA Corporation
-Built on Tue_Feb__7_19:32:13_PST_2023
-Cuda compilation tools, release 12.1, V12.1.66
-Build cuda_12.1.r12.1/compiler.32415258_0
+Copyright (c) 2005-2024 NVIDIA Corporation
+Built on Thu_Mar_28_02:18:24_PDT_2024
+Cuda compilation tools, release 12.4, V12.4.131
+Build cuda_12.4.r12.4/compiler.34097967_0
 ```
 
 The container can be viewed and managed using `docker ps` in another terminal or tab:
 
 ```bash
 system76@pop-os:~$ docker ps
 CONTAINER ID   IMAGE                                 COMMAND   CREATED         STATUS         PORTS     NAMES
-5397e7ea7f57   nvidia/cuda:12.1.0-devel-ubuntu22.04   "/opt/nvidia/nvidia_…"   2 minutes ago   Up 2 minutes             boring_tesla
+5397e7ea7f57   nvidia/cuda:12.4.0-devel-ubuntu22.04   "/opt/nvidia/nvidia_…"   2 minutes ago   Up 2 minutes             boring_tesla
 ```
 
 The container ID can be referenced to copy files into and out of the container:
@@ -143,10 +143,10 @@ The binary (`c++11_cuda`) is built:
 ```
 root@5397e7ea7f57:~/cuda-samples/Samples/0_Introduction/c++11_cuda# ls -l
 total 6108
--rw-rw-r-- 1 1000 1000   13679 Mar 24 16:45 Makefile
+-rw-rw-r-- 1 1000 1000   13951 Mar 24 16:45 Makefile
 -rw-rw-r-- 1 1000 1000    2090 Mar 24 16:45 NsightEclipse.xml
 -rw-rw-r-- 1 1000 1000    3556 Mar 24 16:45 README.md
--rwxr-xr-x 1 root root 1881448 Mar 24 16:48 c++11_cuda
+-rwxr-xr-x 1 root root 2147784 Mar 24 16:48 c++11_cuda
 ...
 ```