Difference between revisions of "Edge AI SDK/AI Framework/AMD"
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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 | 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). | in the AMD XDNA™ architecture, the first dedicated AI processing silicon on a Windows x86 processor2, and supports an integrated GPU (iGPU). | ||
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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. | 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. | Applications are deployed using ONNX Runtime, giving the user easy inferencing across the different hardware. | ||
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Addressing Various AI Workloads | Addressing Various AI Workloads | ||
Revision as of 03:59, 4 September 2025
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.
Addressing Various AI Workloads
-Large Language Models
-Image and Video Generation
-Recommendation
-Computer Vision