You can try out the DeepSeek R1 distilled models on your AMD Ryzen™ AI processor or Radeon™ graphics card in just a few short steps!

AMD, in collaboration with the ONNX Community and the Linux Foundation, has released an open-source tool to help developers explore and understand machine learning models. Digest is a powerful model analysis tool designed to help you extract valuable insights from your machine learning models. With Digest, you can easily organize, report on, and optimize your models, making your workflow more efficient and effective.  

Amuse 2.2 Beta is now available for download. 

A step-by-step guide on how to run Stable Diffusion 3.5 Large, Stable Diffusion 3.5 Large Turbo or Stable Diffusion 3.5 Medium on AMD Radeon™ Graphics Cards and Ryzen™ AI 300 Series Processors. 

See how AMD Ryzen™ AI 300 series-based PCs compare to the competition in llama.cpp based applications like LM Studio. 

Amuse 2.1 Beta is now available for Ryzen™ AI and Radeon™ GPU users and brings with it a whole host of new models and bug fixes!

Quick and easy guide on how to get a powerful, completely offline, AI assistant that works on both AMD Ryzen™ AI processors and Radeon™ graphics cards.

Starting your AI image generation journey on an AMD AI PC is now easier than ever before. Here is how to run the latest and greatest Stable Diffusion models on AMD Ryzen(TM) AI processors and Radeon discrete graphics cards. 

A simple step by step guide walking through the process of setting up the latest AMD ROCm^tm Software within a Windows environment 

Posted on Behalf of Michael Schulte, Sr. Fellow Engineer for AMD 

Recent research has demonstrated that narrow data formats (e.g., formats using 8 bits or less per number) have the potential to greatly improve the performance and energy efficiency of AI training and inference with a negligible impact on accuracy [1][2]. Narrow data formats also help reduce the amount of memory used for AI models, while increasing the effective memory and network bandwidth, since fewer bits of data need to be stored and transmitted.