Edge AI SDK/AI Framework/AMD

RyzenAI SDK

AMD Ryzen™ AI software includes the tools and runtime libraries for optimizing and deploying AI inference on AMD Ryzen AI powered PCs1. Ryzen AI software enables applications to run on the neural processing unit (NPU) built in the AMD XDNA™ architecture, the first dedicated AI processing silicon on a Windows x86 processor2, and supports an integrated GPU (iGPU).

Ryzen™ AI software enables developers to efficiently port their pre-trained PyTorch or TensorFlow models to run on the integrated GPU (iGPU) or Neural Processing Unit (NPU) available in select Ryzen AI-powered laptops. Applications are deployed using ONNX Runtime, giving the user easy inferencing across the different hardware.

AMD Ryzen™ AI Software includes the tools and runtime libraries for optimizing and deploying AI inference on AMD Ryzen™ AI powered PCs. Ryzen AI software enables applications to run on the neural processing unit (NPU) built in the AMD XDNA™ architecture, as well as on the integrated GPU. This allows developers to build and deploy models trained in PyTorch or TensorFlow and run them directly on laptops powered by Ryzen AI using ONNX Runtime and the Vitis™ AI Execution Provider (EP).

Addressing Various AI Workloads  -Large Language Models -Image and Video Generation -Recommendation -Computer Vision

Application

Vision Application

Application	Model	AIMB-2210 FPS (video file)
Object Detection	yolov8-onnx-FP32 (CPU)	25
Object Detection	yolov8-onnx-FP32 (iGPU)	35
Object Detection	yolovX-onnx-int (NPU)	65
Face Detection	yolov8-onnx-FP32 (CPU)	35
Face Detection	yolov8-onnx-FP32 (iGPU)	45
Face Detection	RetinaFace-onnx-int (NPU)	65

To Run NPU (YolovX)

Generate AI

Delete model

1. On Lemonade Model Management - Installed Models, select a model and delete it.

• Lemonade Model Management : http://localhost:23953/#model-management

More Info refer GenAI Link
 

Benchmark (Vision AI)

You can refer the linkto test the performance with the benchmark tool

mobilenet-ssd V2

System Monitoring