
Explore how Amuse utilized Ryzen AI NPU technology to power their super resolution solution to improve performance.
Tools and runtime libraries for optimizing and deploying AI inference on AI PCs
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.
With APU architecture, optimally off-load models to the NPU and iGPU based on varying intensity of computation and resource requirements for your application.
The NPU is specialized for AI tasks, accelerating machine learning workloads like image recognition, language processing, and real-time audio transcription.
iGPUs are well-suited for a broad range of parallel computing and ML tasks like image processing, and generation
Over 150 AI Partner Experiences
AMD is proud to be working with its partners to build and enable the next generation of innovative AI applications on AMD Ryzen AI.1
*Max boost for AMD processors is the maximum frequency achievable by a single core on the processor running a bursty single-threaded workload. Max boost will vary based on several factors, including, but not limited to: thermal paste; system cooling; motherboard design and BIOS; the latest AMD chipset driver; and the latest OS updates. GD-150. Learn More.
Get acquainted with the development flow, access documentation, installation steps, and additional resources to get started with Ryzen AI software
Keep up-to-date on the latest product releases, news, and tips.