> ## Documentation Index
> Fetch the complete documentation index at: https://docs.presenton.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Using GPU

> Runing Ollama models on GPU for Presenton

Presenton supports GPU acceleration when using Ollama models, significantly improving performance — especially for larger models.

To enable GPU support, you need to install and configure the **NVIDIA Container Toolkit**.

### 🛠️ Step 1: Install NVIDIA Container Toolkit

Follow the official guide to install the toolkit:\
👉 [https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html)

### 🚀 Step 2: Run Presenton with GPU

Once installed, use the `--gpus=all` flag when running the container:

* **Running without environment variables**

```bash theme={null}
docker run -it --name presenton --gpus=all -p 5000:80 \
  -v "./app_data:/app_data" \
  ghcr.io/presenton/presenton:v0.3.0-beta
```

* **Running with environment variables**

```bash theme={null}
docker run -it --name presenton --gpus=all -p 5000:80 \
  -e LLM="ollama" \
  -e OLLAMA_MODEL="llama3.2:3b" \
  -e IMAGE_PROVIDER="pexels" \
  -e PEXELS_API_KEY="your_pexels_api_key" \
  -e CAN_CHANGE_KEYS="false" \
  -v "./user_data:/app/user_data" \
  ghcr.io/presenton/presenton:latest
```