Add GitHub Actions CI to build and push Docker image to GHCR

Workflow triggers on push to main/release branches, tags, PRs, and
manual dispatch. Uses Docker Buildx with GHA cache for faster rebuilds.
Tags images with ollama version, git SHA, and branch/tag names.

Co-authored-by: Cursor <cursoragent@cursor.com>

README.md

@@ -6,22 +6,34 @@ A Docker-based setup that pairs [Ollama](https://github.com/ollama/ollama) **v0.
 
 **Why this exists:** Ollama's official release ships only a Vulkan backend for Intel GPUs, leaving significant performance on the table. This repo builds the `ggml-sycl` backend from source with Intel oneAPI, unlocking oneMKL, oneDNN, and Level-Zero direct GPU access.
 
-![screenshot](doc/screenshot.png)
 
 ---
 
 ## Quick start
 
+### Option A: Build from source
+
 ```shell
 git clone https://github.com/mattcurf/ollama-intel-gpu
 cd ollama-intel-gpu
 docker compose up
 ```
 
-Open **http://localhost:3000** — pull a model and start chatting.
-
 The first `docker compose up` builds the SYCL backend from source (~2 min on a modern CPU). Subsequent starts are instant.
 
+### Option B: Use the pre-built image
+
+```shell
+docker run -d \
+  --device /dev/dri:/dev/dri \
+  --shm-size 16G \
+  -p 11434:11434 \
+  -v ollama-data:/root/.ollama \
+  ghcr.io/mattcurf/ollama-intel-gpu:latest
+```
+
+Open **http://localhost:3000** (with WebUI) or use the API directly at `http://localhost:11434`.
+
 > **Multiple GPUs?** Set `ONEAPI_DEVICE_SELECTOR=level_zero:0` in `docker-compose.yml` to pick the right device.
 
 ---