Purchase
Purchase an AMD Ryzen™ AI laptop or PC or AMD Radeon GPU directly from AMD ‘s online store or from a participating partner.
Empowering Academic Innovation
AMD Ryzen™ AI and Radeon™ GPU technology brings exciting opportunities for learning, teaching, and research in artificial intelligence.
Students
Provides hands-on experience with AI applications right on their laptops—whether for machine learning projects, data science coursework, or real-time AI-enhanced applications.
Educators
Integrate AMD Ryzen AI and Radeon GPU technology into their curriculum, enabling interactive lessons on neural networks, automation, and AI-driven creativity.
Researchers
Leverage the combined power of the CPU, iGPU, and NPU to experiment, build and optimize local AI models.
With AMD Ryzen AI and Radeon GPU technology, universities can foster innovation, giving the next generation of AI professionals the tools they need to shape the future.
AMD Ryzen AI Tools / Stack
Streamlined AI Development
AMD Ryzen AI software enables seamless deployment of pre-trained PyTorch and TensorFlow models on AMD Ryzen AI-powered laptops, running efficiently on the CPU, integrated GPU (iGPU) and Neural Processing Unit (NPU).
Quick and Easy AI App Development
With a simple installation, access to a growing model zoo, and optimized Large Language Models (LLMs), developers can get up and running in minutes.
Optimized for Diverse AI Workloads
AMD Ryzen AI supports a wide range of AI tasks, including:
- Large Language Models
- Image and Video Generation
- Recommendation Systems
- Computer Vision
The APU architecture allows offloading of tasks between the CPU, iGPU and NPU based on computational needs, ensuring high-performance AI for everything from real-time audio transcription to image processing.
Open-Source Toolchain for AMD Ryzen AI
The Interface Representation for hands-ON (IRON) toolkit is an open-source MLIR-based toolchain that provides a close-to-metal Python API for programming AMD Ryzen AI.
This toolchain provides fine-tuned control over data movement, computation scheduling, and array connectivity.
AMD Radeon GPU Tools / Stack
AMD ROCm™ Optimized GPU Software Stack
AMD ROCm™ is an open-source software platform optimized to extract HPC and AI workload performance from AMD GPUs while maintaining compatibility with industry software frameworks.
Simplified Model Development
- Supports a wide range of models on Hugging Face
- Offers dedicated libraries for machine learning
- Upstream support for leading AI frameworks including PyTorch
- Quantization, GEMM tuning, and optimization with composable kernel
Scale-Out Deployments
- Supports leading containerization tools including Docker, Singularity, Kubernetes®, and Slurm to enable deployment at scale
- Enables HPC across a variety of disciplines to help solve some of the world’s toughest challenges
Transform your AMD powered system into a powerful machine learning workstation. With the latest ROCm™ software stack, you can now harness the full potential of high-end AMD Radeon™ GPUs and Ryzen™ APUs for your AI workflows on both Linux® and Windows®.
Get Started with AMD Ryzen™ AI and Radeon™ GPU
- For Research
- For Education
Explore AI models on a local workstation for academic research and experimentation.
Access hands-on AI learning resources on AMD hardware for AI and high-performance coursework.
Frequently Asked Questions
AMD Ryzen™ AI features an AMD Ryzen processor core, AMD Radeon™ integrated graphics engine, and a dedicated Neural Processing Unit (NPU) based on the AMD XDNA™ architecture. The NPU is designed to efficiently handle AI tasks, enhancing performance and enabling new features.
A Neural Processing Unit (NPU) is a specialized processor designed specifically for AI and Machine Learning tasks. It is optimized to perform AI computations with outstanding energy efficiency, making it ideal for applications such as image recognition, natural language processing, and other AI-driven functions that run locally on your laptop. With local processing, you benefit from next-level privacy.
With AMD Ryzen™ AI, users can experience enhanced computing applications, including:
- Advanced Video Conferencing: Real-time background effects and noise suppression for clearer communication.
- Security Features: Enhanced facial recognition for quick and safeguarded system access.
- Creative Tools: Accelerated photo and video editing with AI-powered features.
AMD Radeon™ GPUs provide high-performance graphics and compute capabilities for demanding workloads. AMD Radeon™ AI PRO graphics are designed for local AI inference, development, and memory-intensive workloads.
AMD Radeon™ GPUs can support local AI development and inference, including large language models and text-to-image models. Combined with AMD ROCm™ software, Radeon GPUs can also support AI development using frameworks such as PyTorch®.
ROCm is an open-source stack, composed primarily of open-source software, designed for graphics processing unit (GPU) computation. ROCm consists of a collection of drivers, development tools, and APIs that enable GPU programming from low-level kernel to end-user applications.
Contact Us
- Discuss your requirements for teaching or research
- Find out how to setup your own AMD Ryzen AI teaching lab
- Enquire about an AUP grant to support new course development on AMD Ryzen AI