Ollama for Intel Arc GPUs (IPEX-LLM)

Docker image that runs Ollama on Intel Arc GPUs using Intel IPEX-LLM. Drop-in replacement for the standard Nvidia-based Ollama container — same API on port 11434.

Supported GPUs: Intel Arc B580, A770, A750, A380, and other Arc series.

Install on Unraid

Via Community Applications (Recommended)

1. Open the Apps tab in Unraid
2. Search for ollama-intel-gpu
3. Click Install
4. Configure the settings:
   • Model Storage — where models are saved on disk (default: /mnt/user/appdata/ollama-intel-gpu)
   • Ollama API Port — default 11434
   • GPU Device Selector — leave as level_zero:0 unless you have multiple Intel GPUs
5. Click Apply

The container will start with /dev/dri passed through automatically for GPU access.

Verify It's Working

Go to the Unraid Docker tab, click the container icon, and select Logs. You should see:

oneAPI device name: Intel(R) Graphics [0xe212]
discovered 1 Level-Zero memory modules
inference compute  id=0 library=oneapi name="Intel(R) Graphics [0xe212]" total="15.9 GiB"

Pull a Model

Open the Unraid Docker tab, click the container icon, select Console, then run:

ollama run llama3.1:8b "Hello!"

Use with Open WebUI

If you're running Open WebUI on Unraid, point it at this container:

• Set OLLAMA_BASE_URL in Open WebUI to http://<UNRAID_IP>:11434
• The OLLAMA_ORIGINS variable is set to * by default in the template to allow cross-origin requests

Install on Linux

Requirements

• Intel Arc GPU (B580, A770, A750, or other Arc series)
• /dev/dri device nodes available on the host
• Host kernel must have the i915 driver loaded

Docker Run

docker run -d \
  --name ollama-intel-gpu \
  --device=/dev/dri \
  -p 11434:11434 \
  -v ollama-data:/root/.ollama \
  spaceinvaderone/ollama-intel-gpu:latest

Then pull and run a model:

docker exec -it ollama-intel-gpu ollama run llama3.1:8b "Hello!"

Verify GPU Detection

docker logs ollama-intel-gpu

Look for oneAPI device name: Intel(R) Graphics and library=oneapi in the output.

Environment Variables

Variable	Default	Description
OLLAMA_HOST	0.0.0.0:11434	API listen address
ONEAPI_DEVICE_SELECTOR	level_zero:0	Which Intel GPU to use
OLLAMA_NUM_PARALLEL	1	Parallel requests (keep at 1 for 12 GB cards)
OLLAMA_NUM_CTX	4096	Context window size in tokens
OLLAMA_KEEP_ALIVE	10m	How long to keep model in VRAM (-1 = forever)
OLLAMA_ORIGINS	(unset)	Set to * for Open WebUI / CORS access

Testing the API

# Health check
curl http://localhost:11434/

# List models
curl http://localhost:11434/api/tags

# Generate
curl http://localhost:11434/api/generate -d '{
  "model": "llama3.1:8b",
  "prompt": "Hello!",
  "stream": false
}'

What's Inside

• Base: Ubuntu 24.04
• IPEX-LLM: v2.3.0 nightly (Ollama portable build optimised for Intel GPUs)
• Intel GPU drivers: IGC v2.8.3, Compute Runtime 25.09.32961.7, Level-Zero Loader v1.21.9