docs: add instructions for windows wsl

examples/ollama-ui/README.md

@@ -21,3 +21,93 @@ Afterwards, we can browse Open WebUI on `http://127.0.0.1:8080` and register our
 > [!TIP]
 >
 > You likely want to pass a GPU into the Ollama container. Please read [this](https://hub.docker.com/r/ollama/ollama).
+
+
+## Windows WSL 2 Setup
+
+1. Enable `Nested/Hardware Virtualization` in your BIOS
+2. Install Nvidia drivers for Windows
+3. Install Docker Desktop for Windows
+
+Then open an administrative PowerShell and proceed as follows:
+
+````
+# install wsl
+wsl --install
+
+# configure wsl 2 as default
+wsl --set-default-version 2
+
+# install ubuntu
+wsl --install -d ubuntu
+````
+
+After Ubuntu installation, you are prompted for a `username` and `password`.
+
+Afterwards, you will find youself in a Ubuntu terminal.
+
+## Windows Docker Desktop Setup
+
+Open Docker Desktop and enable WSL 2 via the setting `Use WSL 2 based engine`:
+
+![image](https://github.com/user-attachments/assets/85d1270a-80f9-4801-b388-81372af19f43)
+
+Then open `Resources > WSL Integration` and enable Docker for your Ubuntu WSL VM(s):
+
+![image](https://github.com/user-attachments/assets/5b3c7ff2-d865-4e43-b867-cc931516c5d9)
+
+## WSL 2 Ubuntu Setup
+
+After Docker Desktop adjustments, return to the PowerShell with your Ubuntu terminal.
+
+Proceed in Ubuntu terminal with the following commands from [Ollama documentation](https://hub.docker.com/r/ollama/ollama):
+
+````
+# add repo
+curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey \
+    | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
+curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list \
+    | sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' \
+    | sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
+sudo apt-get update
+
+# install nvidia container toolkit
+sudo apt-get install -y nvidia-container-toolkit
+
+# add your user to docker group
+sudo usermod -aG docker <your-username>
+newgrp docker
+
+# test docker and compose
+docker -v
+docker compose -v
+````
+
+> [!WARNING]
+> You likely have to restart Docker Desktop and re-open the Ubuntu WSL VM
+
+Now you can make use of Docker in your WSL 2 Ubuntu VM.
+
+1. Store the `docker-compose.yml` from this repo into your WSL 2 Ubuntu VM
+2. Start the Docker stack consisting of Ollama and OpenWebUI
+
+````
+docker compose up -d
+````
+
+Afterwards, you can open a web browser of your choice on your Windows and browse `http://127.0.0.1:8080`.
+
+You will be greeted by OpenWebUI and must setup your administrative user account.
+
+Afterwards:
+1. Browse the settings at `http://127.0.0.1:8080/admin/settings`
+2. Visit the `Connections` area
+3. Disable `OpenAI API`
+4. Click the `Manage` download button at Ollama and download your preferred models (see https://ollama.com/library)
+
+![image](https://github.com/user-attachments/assets/a3b03885-3605-439e-9536-82f1933aa5b1)
+
+Unsure which Deepseek R1 model your GPU can run? Read this [Reddit post](https://www.reddit.com/r/LocalLLaMA/comments/1i5wahr/comment/m8wi5tl/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button).
+
+Here my results on Windows 11 with RTX 3080 Ti 12GB VRAM
+![image](https://github.com/user-attachments/assets/e8886bfd-65f8-498d-b0e0-db68700352a5)