---
license: mit
pipeline_tag: object-detection
tags:
- RyzenAI
---
# AMD RyzenAI Demo

## YOLO Model Inference on AMD RyzenAI

This notebook demonstrates how to perform object detection using the YOLO-V8 model on a RyzenAI device with the Optimum-AMD.

### About RyzenAI

AMD's Ryzen™ AI family of laptop processors provide users with an integrated Neural Processing Unit (NPU). This frees up the main CPU and GPU, resulting in improved performance for AI-related tasks. The Ryzen™ AI technology, built on AMD XDNA™ architecture, is purpose-built to run AI workloads efficiently and locally, offering numerous benefits for developers creating groundbreaking AI applications.

### Prerequisites

Ensure you have the following setup:

1. **Hardware**: A laptop with an AMD Ryzen processor.
2. **Software Configuration**:
   - The RyzenAI environment should be properly configured according to the Installation and Runtime Setup guides.
   - Install the NPU Driver.
   - Install RyzenAI SDK.
   - Install optimum-amd

https://huggingface.co./docs/optimum/main/en/amd/ryzenai/overview#installation

### Demonstrations

#### Demo 1: YOLO-V8 Model Inference

This demonstration showcases how to perform object detection using the YOLO-V8 model on a RyzenAI device with the Optimum-AMD.

Steps:
1. Ensure that your RyzenAI environment is correctly set up as per the prerequisites mentioned above.
2. Run the notebook to perform object detection using the YOLO-V8 model.

#### Demo 2: [Preview] Local LLM Inference on AMD RyzenAI

This is a preview and a work in progress. We are actively working on enhancing the performance. In a couple of weeks, we expect to have a more polished and efficient version ready.

Steps:
1. Follow the setup steps mentioned in the prerequisites.
2. **Important**: To run Demo 2, you need to restart the kernel before executing the cells related to this demonstration.

---