Added AI server setup : to be reviewed

On host/AIServerSetup/02-Ollama And OpenWebUI/01-OllamaAndOpenWebUISetup.md

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+# Ollama & OpenWebUI Docker Setup
+
+## Ollama with Nvidia GPU
+
+Ollama makes it easy to get up and running with large language models locally.
+To run Ollama using an Nvidia GPU, follow these steps:
+
+### Step 1: Install the NVIDIA Container Toolkit
+
+#### Install with Apt
+
+1. **Configure the repository**:
+
+    ```bash
+    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
+    ```
+
+2. **Install the NVIDIA Container Toolkit packages**:
+
+    ```bash
+    sudo apt-get install -y nvidia-container-toolkit
+    ```
+
+#### Install with Yum or Dnf
+
+1. **Configure the repository**:
+
+    ```bash
+    curl -s -L https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo \
+        | sudo tee /etc/yum.repos.d/nvidia-container-toolkit.repo
+    ```
+
+2. **Install the NVIDIA Container Toolkit packages**:
+
+    ```bash
+    sudo yum install -y nvidia-container-toolkit
+    ```
+
+### Step 2: Configure Docker to Use Nvidia Driver
+
+```bash
+sudo nvidia-ctk runtime configure --runtime=docker
+sudo systemctl restart docker
+```
+
+### Step 3: Start the Container
+
+```bash
+docker run -d --gpus=all -v ollama:/root/.ollama -p 11434:11434 --restart always --name ollama ollama/ollama
+```
+
+## Running Multiple Instances with Specific GPUs
+
+You can run multiple instances of the Ollama server and assign specific GPUs to each instance. In my server, I have 4 Nvidia 3090 GPUs, which I use as described below:
+
+### Ollama Server for GPUs 0 and 1
+
+```bash
+docker run -d --gpus '"device=0,1"' -v ollama:/root/.ollama -p 11435:11434 --restart always --name ollama1 --network ollama-network ollama/ollama
+```
+
+### Ollama Server for GPUs 2 and 3
+
+```bash
+docker run -d --gpus '"device=2,3"' -v ollama:/root/.ollama -p 11436:11434 --restart always --name ollama2 --network ollama-network ollama/ollama
+```
+
+## Running Models Locally
+
+Once the container is up and running, you can execute models using:
+
+```bash
+docker exec -it ollama ollama run llama3.1
+```
+
+```bash
+docker exec -it ollama ollama run llama3.1:70b
+```
+
+```bash
+docker exec -it ollama ollama run qwen2.5-coder:1.5b
+```
+
+```bash
+docker exec -it ollama ollama run deepseek-v2
+```
+
+### Try Different Models
+
+Explore more models available in the [Ollama library](https://github.com/ollama/ollama).
+
+## OpenWebUI Installation
+
+To install and run OpenWebUI, use the following command:
+
+```bash
+docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main
+```