Thanks. I will try the Docker image.

I was able to get many of the neural network features working after some trial and error. These steps led to success:

1. Install Microsoft C++ development tools.
2. Install CUDA 11.6
3. Install cuDNN 8.9.0
4. Disable Python aliases in Windows Settings/Manage App Execution Aliases
5. Apply Microsoft development environment variables to the Livebook notebook setup cell.
6. Add additional environment variables reported in error messages.
7. Click “Reconnect and setup” above the setup cell.

To capture the Microsoft development environment variables, run

cmd /K "C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Auxiliary\Build\vcvarsall.bat" amd64

and type set to show all environment variables. Edit them into an Elixir map passed to Mix.install as system_env.

In response to error messages, I added CUDNN_ROOT, LIBTORCH_TARGET, and PYTHON.

With those changes, the setup cell begins with the following contents. Paths, versions, and unrelated environment variables may vary on other computers.

Mix.install(
  [
    {:kino_bumblebee, "~> 0.2.1"},
    {:torchx, "~> 0.5.1"}
  ],
  config: [nx: [default_backend: Torchx.Backend]],
  system_env: %{
    "LIBTORCH_TARGET" => "cu116",
    "CUDNN_ROOT" => "C:\\Program Files\\NVIDIA\\CUDNN\\v8.9",
    "PYTHON" => "C:\\Users\\Joel\\AppData\\Local\\Programs\\Python\\Python39\\python.exe",
    
    "ALLUSERSPROFILE" => "C:\\ProgramData",
    "APPDATA" => "C:\\Users\\Joel\\AppData\\Roaming",
    "CARBON_MEM_DISABLE" => "1",
    "ChocolateyInstall" => "C:\\ProgramData\\chocolatey",
    "ChocolateyLastPathUpdate" => "133196555883524332",
    "CommandPromptType" => "Native",
    "CommonProgramFiles" => "C:\\Program Files\\Common Files",
    "CommonProgramFiles(x86)" => "C:\\Program Files (x86)\\Common Files",
    "CommonProgramW6432" => "C:\\Program Files\\Common Files",
    "COMPUTERNAME" => "JOELS-DELL-XPS-",
    "ComSpec" => "C:\\Windows\\system32\\cmd.exe",
    "CUDA_PATH" => "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.6",
    "CUDA_PATH_V11_6" => "C:\\Program Files\\NVIDIA GPU Computing Toolkit\\CUDA\\v11.6",

I have not attempted to repeat this setup from scratch on a clean machine.