Added ollama through docker in AI docs

Updated the AI documentation page to include the installation of ollama inside a docker container (instead of through homebrew) as an alternative way to install it, since Alpaca doesn't expose ollama APIs and brew's ollama doesn't make use of nvidia GPUs.
More info in [this Discourse thread](https://universal-blue.discourse.group/t/has-ujust-ollama-web-been-removed/4336/32?u=shaked_coffee)

Author: LeonardoMantovani

docs/ai.md

@@ -7,15 +7,45 @@ slug: /ai
 
 GPU Acceleration for both Nvidia and AMD are included out of the box and usually do not require any extra setup. 
 
-### Desktop integration
+### Ollama GUI
 
-[Install alpaca](https://flathub.org/apps/com.jeffser.Alpaca) to use a native desktop application. If you prefer an all-GUI solution just use Alpaca and manage your models from within the application. Alpaca supports Nvidia and AMD acceleration natively and _includes ollama_. 
+[Install Alpaca](https://flathub.org/apps/com.jeffser.Alpaca) to manage and chat with your LLM models from within a native desktop application. Alpaca supports Nvidia and AMD acceleration natively and *includes ollama*. 
 
 ![image](https://github.com/user-attachments/assets/9fd38164-e2a9-4da1-9bcd-29e0e7add071)
 
-### Ollama CLI
+### Ollama API
 
-If you prefer a CLI or to interact with the ollama server from your scripts, then you can install ollama with either 
+Since Alpaca doesn't expose any API, if you need other applications than Alpaca to interact with your ollama instance (for example an IDE) you should consider installing it [in a docker container](https://hub.docker.com/r/ollama/ollama).
 
-- `brew install ollama` (recommended) with [Homebrew](https://formulae.brew.sh/formula/ollama)
-- The installation script from the [ollama website](https://ollama.com), but will require some manual tweaks in their docs to get it in your path.
+To do so, first configure docker to use the nvidia drivers (that come preinstalled with Bluefin) with:
+```bash
+sudo nvidia-ctk runtime configure --runtime=docker
+sudo systemctl restart docker
+```
+Then, choose a folder where to install the ollama container (for example `~/Containers/ollama`) and inside it create a new file named `docker-compose.yaml` with the following content:
+```yaml
+---
+services:
+  ollama:
+    image: ollama/ollama
+    container_name: ollama
+    restart: unless-stopped
+    ports:
+      - 11434:11434
+    volumes:
+      - ./ollama_v:/root/.ollama
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - capabilities:
+                - gpu
+```
+Finally, open a terminal in the folder containing the file just created and start the container with
+```bash
+docker compose up -d
+```
+and your ollama instance should be up and running at `http://127.0.0.1:11434`!
+
+> **NOTE:** if you still want to use Alpaca as one of the way of interacting with Ollama, you can open the application, then go to *Preferences*, toggle the option *Use the Remote Connection to Ollama*, specify the endpoint above (`http://127.0.0.1:11434`) as *Server URL* (leave *Bearer Token* empty) in the dialog that will pop up and then press *Connect*.
+> This way you should be able to manage the models installed on your ollama container and chat with them from the Alpaca GUI.