Add NVIDIA acceleration how-to documentation

docs/src/how-to/docker-nvidia-device.md

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+# How to use NVIDIA GPU in Docker
+
+WSL supports NVIDIA-based GPU acceleration, making it ideal for many use cases
+including machine learning or general compute acceleration. Since Docker version
+25, the use of `virtualisation.docker.enableNvidia` has been deprecated in
+favour of a more standard specification called Container Device Interface.
+
+1. Enable the NVIDIA Container Toolkit and disable the mounting of executables,
+   as this will cause an problem related to missing libraries.
+
+```nix
+hardware.nvidia-container-toolkit = {
+  enable = true;
+  mount-nvidia-executables = false;
+};
+```
+
+2. As of Docker 25, the Docker daemon doesn't have the CDI feature enabled by
+   default.
+
+```nix
+virtualisation.docker = {
+  enable = true;
+  daemon.settings.features.cdi = true;
+};
+```
+
+3. Test the installation by running the following command.
+
+```shell
+docker run --rm --device nvidia.com/gpu=all ubuntu nvidia-smi -L
+```

docs/src/how-to/nix-ld-nvidia-acceleration.md

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+# How to use NVIDIA acceleration with nix-ld
+
+By default, the NixOS WSL configuration provides a symlink farm from
+/usr/lib/wsl/lib to the OpenGL packages. However, if you want to use the GPU
+with a non-NixOS compiled program via nix-ld (e.g. nvidia-smi), you also need to
+add the symlinks to the to the nix-ld libraries.
+
+```nix
+let
+  wsl-lib = pkgs.runCommand "wsl-lib" { } ''
+    mkdir -p "$out/lib"
+    # # We can't just symlink the lib directory, because it will break merging with other drivers that provide the same directory
+    ln -s /usr/lib/wsl/lib/libcudadebugger.so.1 "$out/lib"
+    ln -s /usr/lib/wsl/lib/libcuda.so "$out/lib
+    ln -s /usr/lib/wsl/lib/libcuda.so.1 "$out/lib
+    ln -s /usr/lib/wsl/lib/libcuda.so.1.1 "$out/lib
+    ln -s /usr/lib/wsl/lib/libd3d12core.so "$out/lib
+    ln -s /usr/lib/wsl/lib/libd3d12.so "$out/lib
+    ln -s /usr/lib/wsl/lib/libdxcore.so "$out/lib
+    ln -s /usr/lib/wsl/lib/libnvcuvid.so "$out/lib
+    ln -s /usr/lib/wsl/lib/libnvcuvid.so.1 "$out/lib
+    ln -s /usr/lib/wsl/lib/libnvdxdlkernels.so "$out/lib
+    ln -s /usr/lib/wsl/lib/libnvidia-encode.so "$out/lib
+    ln -s /usr/lib/wsl/lib/libnvidia-encode.so.1 "$out/lib
+    ln -s /usr/lib/wsl/lib/libnvidia-ml.so.1 "$out/lib
+    ln -s /usr/lib/wsl/lib/libnvidia-opticalflow.so "$out/lib
+    ln -s /usr/lib/wsl/lib/libnvidia-opticalflow.so.1 "$out/lib
+    ln -s /usr/lib/wsl/lib/libnvoptix.so.1 "$out/lib
+    ln -s /usr/lib/wsl/lib/libnvwgf2umx.so "$out/lib
+    ln -s /usr/lib/wsl/lib/nvidia-smi "$out/lib
+  '';
+in
+{
+  programs.nix-ld = {
+    enable = true;
+    libraries = [ wsl-lib ];
+  };
+}
+```
+
+Test the installation by running the following command:
+
+```shell
+nvidia-smi
+```